Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior | Paper Citation Record

Observation f71e77b4-b0cc-45fd-aff7-bba17c16ac66 · outbound

This paper cites Distributed variational representation learning.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Distributed variational representation learning

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T10:33:40.386579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 225751cd-f646-4196-85ca-9002f98685b1 · outbound

This paper cites Alemi, Ian Fischer, Joshua V.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Alemi, Ian Fischer, Joshua V

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T10:33:40.442957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d9db7bf-ee4a-4e11-a2b6-b3831200aa4c · outbound

This paper cites User-friendly introduction to PAC-Bayes bounds.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior User-friendly introduction to PAC-Bayes bounds

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T10:33:40.496994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7554ae8-ff5d-422a-8a72-557dedfa0771 · outbound

This paper cites An exact characterization of the generalization error for the gibbs algorithm.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior An exact characterization of the generalization error for the gibbs algorithm

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T10:33:40.501426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7259df1-ebcd-40ce-a2dc-64631d74966b · outbound

This paper cites Learning representations for neural network-based classification using the information bottleneck principle.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Learning representations for neural network-based classification using the information bottleneck principle

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T10:33:40.505875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 323002e2-9284-4906-a703-11a22fa5d096 · outbound

This paper cites Stronger generalization bounds for deep nets via a compression approach.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Stronger generalization bounds for deep nets via a compression approach

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T10:33:40.510379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48250281-3ea6-471d-b751-782496216b06 · outbound

This paper cites K-means++: The advantages if careful seeding.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior K-means++: The advantages if careful seeding

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T10:33:40.514188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1539d7d3-682a-4117-8e01-7a3686323c0f · outbound

This paper cites Heavy tails in SGD and compressibility of overparametrized neural networks.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Heavy tails in SGD and compressibility of overparametrized neural networks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T10:33:40.517925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43b9fc5a-f0a8-41fb-862f-bc5c336d18ab · outbound

This paper cites Pac-bayesian bounds based on the r \'e nyi divergence.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Pac-bayesian bounds based on the r \'e nyi divergence

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T10:33:40.649865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d90c23e0-82c3-47e0-947b-65649453921b · outbound

This paper cites On the Convergence of the Empirical Distribution.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior On the Convergence of the Empirical Distribution

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T10:33:40.742387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd84b694-80ec-488c-8e32-052c853ddaac · outbound

This paper cites Intrinsic dimension, persistent homology and generalization in neural networks.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Intrinsic dimension, persistent homology and generalization in neural networks

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T10:33:40.773810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d217d0d4-e0f4-4546-8e4f-d981a36ff8e6 · outbound

This paper cites Pac-mdl bounds.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Pac-mdl bounds

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T10:33:40.778010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5236e134-d6f3-4abb-bced-5367fb77c1aa · outbound

This paper cites Occam's razor.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Occam's razor

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T10:33:40.781737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02961f50-1e07-457d-993d-f71ea01f7497 · outbound

This paper cites Proper learning, helly number, and an optimal svm bound.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Proper learning, helly number, and an optimal svm bound

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T10:33:40.785240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8431585e-488b-4ea9-ada8-959cc4658d8c · outbound

This paper cites Veeravalli.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Veeravalli

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T10:33:40.788429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27922e26-fc25-4810-ae39-e61c2a2bc8ce · outbound

This paper cites A pac-bayesian approach to adaptive classification.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior A pac-bayesian approach to adaptive classification

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T10:33:40.792334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cae4295c-a9a2-41a7-89e2-5713d9411ae7 · outbound

This paper cites Learning with metric losses.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Learning with metric losses

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T10:33:40.868750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e145aafb-4099-4406-87ef-a0792450c7c2 · outbound

This paper cites A novel approach for effective multi-view clustering with information-theoretic perspective.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior A novel approach for effective multi-view clustering with information-theoretic perspective

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T10:33:40.935869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3eddf862-84d8-44e2-80d6-862a457bbfc4 · outbound

This paper cites Approximating priors by mixtures of natural conjugate priors.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Approximating priors by mixtures of natural conjugate priors

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T10:33:40.997477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dfee1fd5-0256-4621-b2b2-cce505b7a886 · outbound

This paper cites Asymptotic evaluation of certain markov process expectations for large time, i.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Asymptotic evaluation of certain markov process expectations for large time, i

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T10:33:41.061040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d107003-558a-43bb-8b32-97b17430cd42 · outbound

This paper cites Learning optimal representations with the decodable information bottleneck.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Learning optimal representations with the decodable information bottleneck

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T10:33:41.064769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f404b256-1e59-4fb6-9c1a-45f12dbe35c5 · outbound

This paper cites Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T10:33:41.068530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 302ccf98-b09a-4a5d-bc0a-bf98cac2b861 · outbound

This paper cites Data-dependent pac-bayes priors via differential privacy.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Data-dependent pac-bayes priors via differential privacy

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T10:33:41.072612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14c11611-55d4-4ddf-922a-53066df337f2 · outbound

This paper cites Generalization error bounds via R \'enyi-, f -divergences and maximal leakage, 2020.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Generalization error bounds via R \'enyi-, f -divergences and maximal leakage, 2020

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T10:33:41.076297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3810a8ff-8c1f-40f9-b3e3-56cc123c5ed4 · outbound

This paper cites Distributed information bottleneck method for discrete and gaussian sources.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Distributed information bottleneck method for discrete and gaussian sources

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T10:33:41.080832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 481b4186-cec0-4b5e-88df-83116d139a20 · outbound

This paper cites Learning Robust Representations via Multi-View Information Bottleneck.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Learning Robust Representations via Multi-View Information Bottleneck

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T10:33:41.122218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bcbdd00-1994-444a-b4d6-7015cbc81e30 · outbound

This paper cites The conditional entropy bottleneck.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior The conditional entropy bottleneck

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:33:46.417640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cb39a28b-b2a2-4043-8232-a10b3d3d0f53 · outbound

This paper cites On information plane analyses of neural network classifiers--a review.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior On information plane analyses of neural network classifiers--a review

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:33:46.397736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4d5d3c32-37a0-44db-8ad9-04ee1a2d3e42 · outbound

This paper cites On the information dimension of stochastic processes.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior On the information dimension of stochastic processes

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:33:46.385381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a610a71b-b9b9-4647-81e7-c54fc4086b89 · outbound

This paper cites Pac-bayesian learning of linear classifiers.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Pac-bayesian learning of linear classifiers

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:33:46.372903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f53b3f51-75aa-45f7-92a2-a4d72017531d · outbound

This paper cites Understanding the difficulty of training deep feedforward neural networks.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Understanding the difficulty of training deep feedforward neural networks

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T10:33:41.203531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 594107b4-d94d-4e59-a31c-92844e516327 · outbound

This paper cites Estimating information flow in deep neural networks.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Estimating information flow in deep neural networks

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:33:46.334529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 71e45658-5018-4535-80f7-79c02c63fa98 · outbound

This paper cites Deep learning, 2016.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Deep learning, 2016

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:33:46.260254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 93918a72-6609-4e4e-a773-5ea59359f159 · outbound

This paper cites an unresolved cited work.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:33:46.203547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a6ad701a-81e2-4093-88fc-c717f29948e0 · outbound

This paper cites Limitations of information-theoretic generalization bounds for gradient descent methods in stochastic convex optimization.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Limitations of information-theoretic generalization bounds for gradient descent methods in stochastic convex optimization

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:33:46.079893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a40c915c-b2cd-4244-b9dd-45fceddede5d · outbound

This paper cites A sharp lower bound for agnostic learning with sample compression schemes.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior A sharp lower bound for agnostic learning with sample compression schemes

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:33:46.068809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6d452cd9-a5d8-4c84-ad48-82392d804c06 · outbound

This paper cites Stable sample compression schemes: New applications and an optimal svm margin bound.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Stable sample compression schemes: New applications and an optimal svm margin bound

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:33:45.938777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0d01bf10-168b-4983-b99a-7f5b09130b72 · outbound

This paper cites Sample compression for real-valued learners.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Sample compression for real-valued learners

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:33:45.850684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 570fed34-2261-4716-80bf-3b24185e8c6c · outbound

This paper cites Universal bayes consistency in metric spaces.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Universal bayes consistency in metric spaces

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:33:45.836509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8832d809-2be5-456a-8f8e-5b6b3fa2a4e0 · outbound

This paper cites Information-theoretic generalization bounds for black-box learning algorithms.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Information-theoretic generalization bounds for black-box learning algorithms

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:33:45.749303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bf770b3e-e05d-41c2-9b58-2be88ce434e3 · outbound

This paper cites A new family of generalization bounds using samplewise evaluated cmi.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior A new family of generalization bounds using samplewise evaluated cmi

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:33:45.577804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e285e234-d1d0-43d7-a54e-5abd8c99399f · outbound

This paper cites Approximating the kullback leibler divergence between gaussian mixture models.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Approximating the kullback leibler divergence between gaussian mixture models

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:33:45.565513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e7683be6-3ce1-420a-a473-30119467efa7 · outbound

This paper cites Generalization bounds using lower tail exponents in stochastic optimizers.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Generalization bounds using lower tail exponents in stochastic optimizers

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-16T10:33:41.519304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1befab0-d197-4df8-87db-79d5bfe3f34e · outbound

This paper cites Generalization bounds via distillation.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Generalization bounds via distillation

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:33:45.544567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c3756595-e79a-4cff-bb10-64e2ce5ff07e · outbound

This paper cites A survey on information bottleneck.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior A survey on information bottleneck

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:33:45.342259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0113e239-d16f-400a-87eb-9dba4c4e2b9f · outbound

This paper cites On the multi-view information bottleneck representation.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior On the multi-view information bottleneck representation

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:33:45.328023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b918e912-a36c-40b2-bec2-5c19cc10516a · outbound

This paper cites Generalized information-theoretic multi-view clustering.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Generalized information-theoretic multi-view clustering

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:33:45.240624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 09763eee-596b-4e81-98bc-10c3b5c269e4 · outbound

This paper cites an unresolved cited work.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Unresolved cited work

Reference 48

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:33:45.227028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fceacebb-b994-4b06-86a2-75ae05cc732a · outbound

This paper cites an unresolved cited work.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Unresolved cited work

Reference 49

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:33:45.214249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3aeb018a-1350-4965-8bc7-207f48d9ba73 · outbound

This paper cites Kingma and Jimmy Ba.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Kingma and Jimmy Ba

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-16T10:33:41.544086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86a7c047-8aa2-4cd2-870f-7d6367e21383 · outbound

This paper cites Auto-encoding variational bayes.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Auto-encoding variational bayes

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-16T10:33:41.548231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ac90d43-74b6-48b8-8755-60c6e79655ff · outbound

This paper cites Gacs-Korner Common Information Variational Autoencoder.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Gacs-Korner Common Information Variational Autoencoder

Reference 52

Resolution: verified exact; local_arxiv, observed 2026-08-16T10:33:43.465797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 942a6bee-320b-439f-a5f0-d8d71ac1bb36 · outbound

This paper cites Caveats for information bottleneck in deterministic scenarios.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Caveats for information bottleneck in deterministic scenarios

Reference 53

Resolution: verified exact; local_arxiv, observed 2026-08-16T10:33:43.285814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8645b2c1-9ab4-47f7-825a-8c952352e867 · outbound

This paper cites Nonlinear information bottleneck.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Nonlinear information bottleneck

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:33:45.122192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cbaec019-c547-41c9-aa25-3a23f49d79d8 · outbound

This paper cites Learning multiple layers of features from tiny images.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Learning multiple layers of features from tiny images

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-16T10:33:41.564255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9380867f-1f30-429f-acfc-dc79e62cde78 · outbound

This paper cites (not) bounding the true error.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior (not) bounding the true error

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:33:45.045839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e2f28f4d-1106-41f2-93e6-411ceaa1ec71 · outbound

This paper cites Chaotic Regularization and Heavy-Tailed Limits for Deterministic Gradient Descent.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Chaotic Regularization and Heavy-Tailed Limits for Deterministic Gradient Descent

Reference 57

Resolution: verified exact; local_arxiv, observed 2026-08-16T10:33:43.240441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation adec61e9-9a89-45fb-b6ee-c448eb6e4863 · outbound

This paper cites Dual contrastive prediction for incomplete multi-view representation learning.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Dual contrastive prediction for incomplete multi-view representation learning

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:33:44.972347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9f54fe4b-c895-4736-897e-eac498f5e2e0 · outbound

This paper cites Relating data compression and learnability.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Relating data compression and learnability

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:33:44.958984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 430068c3-0344-4d08-8e69-ac2969b598c9 · outbound

This paper cites Information theoretic lower bounds for information theoretic upper bounds.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Information theoretic lower bounds for information theoretic upper bounds

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:33:44.947375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 959b535e-f814-4478-b41c-a7724e7d5cbb · outbound

This paper cites Generalization bounds via convex analysis.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Generalization bounds via convex analysis

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:33:44.909830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5c1495cf-d4bd-482c-a0f4-e49ee7895d74 · outbound

This paper cites Recognizable Information Bottleneck.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Recognizable Information Bottleneck

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-16T10:33:41.755383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bb39a32-6084-454b-8406-ac3c69d73c50 · outbound

This paper cites A Note on the PAC Bayesian Theorem.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior A Note on the PAC Bayesian Theorem

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-16T10:33:41.760441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9207dc84-e70b-4fb1-bd55-b20dc4c1e152 · outbound

This paper cites Communication-efficient learning of deep networks from decentralized data.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Communication-efficient learning of deep networks from decentralized data

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-16T10:33:41.763973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54f3d057-f528-4e3e-907e-f17c17085d96 · outbound

This paper cites In-network learning for distributed training and inference in networks.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior In-network learning for distributed training and inference in networks

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:33:44.833361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2c180361-9112-4b70-8512-434e5faec82f · outbound

This paper cites In defense of uniform convergence: Generalization via derandomization with an application to interpolating predictors.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior In defense of uniform convergence: Generalization via derandomization with an application to interpolating predictors

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:33:44.821586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1f06a024-b0e3-4eae-8bc6-1661d1e90fe5 · outbound

This paper cites an unresolved cited work.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Unresolved cited work

Reference 67

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:33:44.810062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 57d4fb4b-5074-44e4-b189-05a3eabafc1b · outbound

This paper cites an unresolved cited work.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Unresolved cited work

Reference 68

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:33:44.799006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cea4cde4-7a00-4718-a0ae-01db9fd818c0 · outbound

This paper cites A pac-bayesian approach to spectrally-normalized margin bounds for neural networks, 2018.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior A pac-bayesian approach to spectrally-normalized margin bounds for neural networks, 2018

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:33:44.787728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 793f5a22-9486-4af8-b9cd-4c1a8dcec8ed · outbound

This paper cites Improving transformers with probabilistic attention keys.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Improving transformers with probabilistic attention keys

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:33:44.645905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b525ca2c-d26f-4c9e-a7f6-87fd64b05a8a · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Pytorch: An imperative style, high-performance deep learning library

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-16T10:33:42.052384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb923052-97c7-43c2-b70b-a362ee3afd15 · outbound

This paper cites Tighter risk certificates for neural networks.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Tighter risk certificates for neural networks

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:33:44.600221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bb66c8cf-30da-4499-a890-7138131b0c7e · outbound

This paper cites Pac-bayes analysis beyond the usual bounds.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Pac-bayes analysis beyond the usual bounds

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:33:44.590060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d4cb5ae0-111c-446b-817d-54011337ea5e · outbound

This paper cites The information bottleneck: Connections to other problems, learning and exploration of the ib curve, 2019.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior The information bottleneck: Connections to other problems, learning and exploration of the ib curve, 2019

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:33:44.580780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 94d2d8c2-0ce2-4579-9132-e6ad9dc785f9 · outbound

This paper cites The convex information bottleneck lagrangian.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior The convex information bottleneck lagrangian

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:33:44.570731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6fa527e1-6939-4422-85ac-3597829a51a8 · outbound

This paper cites Controlling bias in adaptive data analysis using information theory.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Controlling bias in adaptive data analysis using information theory

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:33:44.559550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c5e9e9a4-ae9c-4b9f-b02a-54330ef313fd · outbound

This paper cites Pac-bayesian generalisation error bounds for gaussian process classification.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Pac-bayesian generalisation error bounds for gaussian process classification

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:33:44.473808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ead870ee-952a-47f0-8b45-3f4a90aafa11 · outbound

This paper cites Data-dependent generalization bounds via variable-size compressibility.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Data-dependent generalization bounds via variable-size compressibility

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:33:44.428370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3e85b3f4-6768-400a-89b0-c64cc499e1a5 · outbound

This paper cites Rate-distortion theoretic generalization bounds for stochastic learning algorithms.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Rate-distortion theoretic generalization bounds for stochastic learning algorithms

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:33:44.415181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2704937f-8f3d-4abc-b538-bb87fdcd8b95 · outbound

This paper cites Minimum description length and generalization guarantees for representation learning.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Minimum description length and generalization guarantees for representation learning

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:33:44.400532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 55156308-8ce4-4221-8669-509f675e42f3 · outbound

This paper cites Generalization guarantees for representation learning via data-dependent gaussian mixture priors.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Generalization guarantees for representation learning via data-dependent gaussian mixture priors

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:33:44.319380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 12c591d9-d427-4e56-9e91-3acfd2d205f5 · outbound

This paper cites Learning and generalization with the information bottleneck.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Learning and generalization with the information bottleneck

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-16T10:33:42.305771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5c0135a-7c32-4c9a-ac8e-6c5703c713b1 · outbound

This paper cites Hausdorff dimension, heavy tails, and generalization in neural networks.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Hausdorff dimension, heavy tails, and generalization in neural networks

Reference 83

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:33:44.204218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c4a9a3e0-e805-4490-af65-eab3b37c0e0e · outbound

This paper cites R easoning about generalization via conditional mutual information.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior R easoning about generalization via conditional mutual information

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:33:44.191894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e570ad8a-6198-4584-8282-049b12ce3838 · outbound

This paper cites Spectral pruning: Compressing deep neural networks via spectral analysis and its generalization error.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Spectral pruning: Compressing deep neural networks via spectral analysis and its generalization error

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:33:44.139514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 44995e5f-9249-41e7-9e69-28851e8f4ff3 · outbound

This paper cites A strongly quasiconvex pac-bayesian bound.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior A strongly quasiconvex pac-bayesian bound

Reference 86

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:33:44.018735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 927616cc-50e1-4401-83eb-41192c2614c5 · outbound

This paper cites The information bottleneck method.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior The information bottleneck method

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-16T10:33:42.324089Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e09c14f2-5af3-496e-9c92-3289dc210ca0 · outbound

This paper cites Pac-bayes-empirical-bernstein inequality.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Pac-bayes-empirical-bernstein inequality

Reference 88

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:33:43.956209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 830fd09f-b594-46b8-a7c5-d1733deb0825 · outbound

This paper cites The role of the information bottleneck in representation learning.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior The role of the information bottleneck in representation learning

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-16T10:33:42.332646Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b412d64-39eb-4ef3-af4f-ba299fc06a77 · outbound

This paper cites A General Framework for the Practical Disintegration of PAC-Bayesian Bounds.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior A General Framework for the Practical Disintegration of PAC-Bayesian Bounds

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-16T10:33:42.336555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 569035c9-5fa8-41bb-b238-3d6db8a18a63 · outbound

This paper cites Multi-view information-bottleneck representation learning.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Multi-view information-bottleneck representation learning

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:33:43.941167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d6678c2e-8e72-4e19-9d35-b0180fd96967 · outbound

This paper cites Cross-view representation learning for multi-view logo classification with information bottleneck.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Cross-view representation learning for multi-view logo classification with information bottleneck

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:33:43.757065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b8cc3850-598b-4aa0-8c35-213340ce5457 · outbound

This paper cites Deep multi-view information bottleneck.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Deep multi-view information bottleneck

Reference 93

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:33:43.684251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3e0b38e7-0c75-4ec4-b53d-34361c523be3 · outbound

This paper cites Information-theoretic analysis of generalization capability of learning algorithms.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Information-theoretic analysis of generalization capability of learning algorithms

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:33:43.673162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fe6fd27e-58c6-4d20-8595-6931ab3d3ebb · outbound

This paper cites Deep multi-view learning methods: A review.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Deep multi-view learning methods: A review

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-16T10:33:42.625531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41385a65-5522-4bfc-83bb-7fda2fe866b1 · outbound

This paper cites Differentiable Information Bottleneck for Deterministic Multi-view Clustering.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Differentiable Information Bottleneck for Deterministic Multi-view Clustering

Reference 96

Resolution: verified exact; local_arxiv, observed 2026-08-16T10:33:43.014768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 26131e1a-149a-490b-aedc-ef8c9158ce12 · outbound

This paper cites On the information bottleneck problems: Models, connections, applications and information theoretic views.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior On the information bottleneck problems: Models, connections, applications and information theoretic views

Reference 97

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:33:43.613946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 536923f7-8c2f-49db-a25e-7fe073031f1e · outbound

This paper cites Individually conditional individual mutual information bound on generalization error.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Individually conditional individual mutual information bound on generalization error

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-16T10:33:42.637514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de9defe3-d258-47aa-b316-6f45679e9921 · outbound

This paper cites @esa (Ref.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior @esa (Ref

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-16T10:33:42.641494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96886cf0-f0b7-45df-a3be-f8d9f6edc05d · outbound

This paper cites an unresolved cited work.

Generalization Guarantees for Multi-View Representation Learning and Application to Regularization via Gaussian Product Mixture Prior Unresolved cited work

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-16T10:33:42.646053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers