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Paper Citation Record · LEDGER

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles

As of 11 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 1 inbound Pith citation observation for arXiv:2412.15758.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2412.15758 v1

Coverage vector

measured 70 of 70 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:14:35.891612Z

measured 71 of 71 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-30T14:07:56.734661Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

70 of 70 outbound references displayed

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  • verified fuzzy47
  • unresolved22
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aaa1795a-0a55-428c-b3c5-529109d80f75 · outbound

This paper cites Simple and scalable predictive uncertainty estimation using deep ensembles,.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Simple and scalable predictive uncertainty estimation using deep ensembles,

Reference 1

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Observation 0b3c19b6-1f1a-4ec1-9052-79cdbd3e9957 · outbound

This paper cites Stein variational gradient descent: A general purpose Bayesian inference algorithm,.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Stein variational gradient descent: A general purpose Bayesian inference algorithm,

Reference 2

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Observation 273798ed-1c8e-4cc4-b78f-f0e84fff5599 · outbound

This paper cites Stein variational gradient descent as gradient flow,.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Stein variational gradient descent as gradient flow,

Reference 3

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Observation 2e14a360-a3ad-4470-8cad-6ce2ba156b0f · outbound

This paper cites Understanding and accelerating particle-based variational inference.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Understanding and accelerating particle-based variational inference

Reference 4

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Observation 505551e4-0dce-4d84-bd3e-65c350ba799c · outbound

This paper cites Function Space Particle Optimization for Bayesian Neural Networks.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Function Space Particle Optimization for Bayesian Neural Networks

Reference 5

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Observation f0860eb0-b303-4987-a91a-f22456f4c913 · outbound

This paper cites Repulsive deep ensembles are Bayesian,.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Repulsive deep ensembles are Bayesian,

Reference 6

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Observation 6343f03b-9433-4810-ad21-51c78fd56799 · outbound

This paper cites Input-gradient space particle inference for neural network ensembles.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Input-gradient space particle inference for neural network ensembles

Reference 7

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Observation d0e53969-d54f-484a-8c34-a5f0156bed05 · outbound

This paper cites Feature space particle inference for neural network ensembles.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Feature space particle inference for neural network ensembles

Reference 8

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Observation cf387261-96a8-4754-9958-1beb3eaceac8 · outbound

This paper cites Hydra: Preserving Ensemble Diversity for Model Distillation.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Hydra: Preserving Ensemble Diversity for Model Distillation

Reference 9

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Observation 2a5efb19-0b13-4373-9d22-d6866d1cdd41 · outbound

This paper cites Quantification of uncertainty with adversarial models,.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Quantification of uncertainty with adversarial models,

Reference 10

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Observation ba43832f-ec72-4ad0-863b-753aca3733b6 · outbound

This paper cites A Unified Particle-Optimization Framework for Scalable Bayesian Sampling.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles A Unified Particle-Optimization Framework for Scalable Bayesian Sampling

Reference 11

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Observation c29b39d7-fa16-4360-913a-aadb19c07bf1 · outbound

This paper cites Decomposition of uncertainty in Bayesian deep learning for efficient and risk-sensitive learning.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Decomposition of uncertainty in Bayesian deep learning for efficient and risk-sensitive learning

Reference 12

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Observation 7848c2d3-1a70-4a48-bb7d-a7f1b8d0870f · outbound

This paper cites Quan- tifying aleatoric and epistemic uncertainty in machine learning: Are conditional entropy and mutual information appropriate measures?.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Quan- tifying aleatoric and epistemic uncertainty in machine learning: Are conditional entropy and mutual information appropriate measures?

Reference 13

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Observation 2773fbca-8492-42f2-aaf6-e9784e8cd570 · outbound

This paper cites On the Usefulness of Deep Ensemble Diversity for Out-of-Distribution Detection.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles On the Usefulness of Deep Ensemble Diversity for Out-of-Distribution Detection

Reference 14

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Observation d4f6f885-a881-4263-9c27-7a26dcd212b9 · outbound

This paper cites A rigorous link between deep ensembles and (variational) bayesian methods,.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles A rigorous link between deep ensembles and (variational) bayesian methods,

Reference 15

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Observation 3d67ec4a-3ea1-4a49-9973-b2e828f3d04f · outbound

This paper cites Improving the identifiability of neural networks for bayesian inference,.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Improving the identifiability of neural networks for bayesian inference,

Reference 16

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Observation 227ed882-f213-497b-b0ce-acb1eeb77ff1 · outbound

This paper cites On the surprising behavior of distance metrics in high dimensional space,.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles On the surprising behavior of distance metrics in high dimensional space,

Reference 17

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Observation dd3ee448-b8da-45ef-8489-176cf951670f · outbound

This paper cites Bridging the data processing inequality and function-space variational inference,.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Bridging the data processing inequality and function-space variational inference,

Reference 18

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Observation cbbe8a4c-fb48-4d1e-b271-60d620944f15 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Distilling the Knowledge in a Neural Network

Reference 19

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Observation 309142b0-8269-40a5-a63c-c9d6df613616 · outbound

This paper cites Do Bayesian neural networks need to be fully stochastic?.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Do Bayesian neural networks need to be fully stochastic?

Reference 20

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Observation a4827e94-f649-4dff-a46c-331bfba5c2df · outbound

This paper cites The best deep ensembles sacrifice predictive diversity,.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles The best deep ensembles sacrifice predictive diversity,

Reference 21

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Observation bf6c8810-ed8d-48a0-a58a-048166673596 · outbound

This paper cites Joint training of deep ensembles fails due to learner collusion,.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Joint training of deep ensembles fails due to learner collusion,

Reference 22

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Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Uncertainty estimation using a single deep deterministic neural network

Reference 23

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Observation c2a59037-3675-4d21-afa6-aaf03ac849ad · outbound

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Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Spectral Normalization for Generative Adversarial Networks

Reference 24

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Observation b3a876a8-a7c9-491c-bdef-acfc7789fbae · outbound

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Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles mixup: Beyond Empirical Risk Minimization

Reference 25

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This paper cites Cutmix: Reg- ularization strategy to train strong classifiers with localizable features,.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Cutmix: Reg- ularization strategy to train strong classifiers with localizable features,

Reference 26

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Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Bayesian learning for neural networks,

Reference 27

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Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Weight uncertainty in neural network

Reference 28

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Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Dropout as a Bayesian approximation: Representing model uncertainty in deep learning

Reference 29

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Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Laplace redux-effortless Bayesian deep learning,

Reference 30

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Observation c2a73e69-20d8-490b-ab74-8e0a861e3282 · outbound

This paper cites Efficient and scalable Bayesian neural nets with rank-1 factors.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Efficient and scalable Bayesian neural nets with rank-1 factors

Reference 31

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Observation 8399e9a5-66c6-47bf-a5cf-78cee56053df · outbound

This paper cites Being Bayesian, even just a bit, fixes overconfidence in relu networks.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Being Bayesian, even just a bit, fixes overconfidence in relu networks

Reference 32

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Observation 506170d0-7da2-477b-9d83-e3cdb7397577 · outbound

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Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Variational Bayesian Last Layers

Reference 33

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Observation 331dff27-da01-42e6-aa6a-aa2e88570df4 · outbound

This paper cites Evaluating scalable bayesian deep learning methods for robust computer vision,.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Evaluating scalable bayesian deep learning methods for robust computer vision,

Reference 34

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Observation 7df77be2-c733-4629-903b-bf43ac2cd875 · outbound

This paper cites Can you trust your model’s uncer- tainty? evaluating predictive uncertainty under dataset shift,.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Can you trust your model’s uncer- tainty? evaluating predictive uncertainty under dataset shift,

Reference 35

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Source-reported events for the cited work

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Observation 753ce236-aedb-421f-9744-80702f175a47 · outbound

This paper cites The Case for Bayesian Deep Learning.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles The Case for Bayesian Deep Learning

Reference 36

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 39ca1dab-6379-4613-a0ce-18870f9cf59e · outbound

This paper cites Functional Variational Bayesian Neural Networks.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Functional Variational Bayesian Neural Networks

Reference 37

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Observation 4c616af2-e8de-4fda-b1e1-dd989643a15a · outbound

This paper cites Variational implicit pro- cesses,.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Variational implicit pro- cesses,

Reference 38

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation c740476a-56c6-4c46-bfb6-6f39c38e7b66 · outbound

This paper cites Un- derstanding variational inference in function-space,.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Un- derstanding variational inference in function-space,

Reference 39

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 077ae6f0-c482-4958-8f26-5bc3496dd553 · outbound

This paper cites Functional variational inference based on stochastic process generators,.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Functional variational inference based on stochastic process generators,

Reference 40

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 0047da42-eca9-4698-99df-bbbb724234b0 · outbound

This paper cites Tractable function-space variational inference in Bayesian neural networks,.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Tractable function-space variational inference in Bayesian neural networks,

Reference 41

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation bc1f6f34-4560-49a0-bce1-c271cf99b295 · outbound

This paper cites Function- space regularization in neural networks: A probabilistic perspective,.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Function- space regularization in neural networks: A probabilistic perspective,

Reference 42

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 10e2d27b-daee-45ec-8a59-049ce77a24d9 · outbound

This paper cites Deep anomaly detection with outlier exposure,.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Deep anomaly detection with outlier exposure,

Reference 43

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raw_fallback, observed 2026-08-11T11:14:36.707286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T11:14:35.720860Z digest=sha256:fdbbdf35601862eeddb24b9fa6ba526330fc6731f538b978821b17d95436db68

Observation 0baf2e62-c9b1-4301-9841-14a45b44a8fa · outbound

This paper cites Collaborative learning for deep neural networks,.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Collaborative learning for deep neural networks,

Reference 44

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation becfb660-72f9-4b1b-b6b2-ff36a500b1cf · outbound

This paper cites Very deep mul- tilingual convolutional neural networks for lvcsr.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Very deep mul- tilingual convolutional neural networks for lvcsr

Reference 45

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T11:14:35.733881Z digest=sha256:751eba74814eab619ec321be507fab4588d61198ac06f6862d730ea543dfb294

Observation d1116330-2e7a-4a01-8b33-abf7e4e03a69 · outbound

This paper cites Why M Heads are Better than One: Training a Diverse Ensemble of Deep Networks.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Why M Heads are Better than One: Training a Diverse Ensemble of Deep Networks

Reference 46

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1bd14d51-ec86-47ea-9f49-17d5a3cd2098 · outbound

This paper cites Deep exploration via bootstrapped dqn,.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Deep exploration via bootstrapped dqn,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:14:36.648038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 4adf6ac6-80d2-4212-aa48-7d99854815f4 · outbound

This paper cites Knowledge distillation by on-the-fly native ensemble,.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Knowledge distillation by on-the-fly native ensemble,

Reference 48

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 033812da-b2f3-49ea-a3ca-ee671d8ff16e · outbound

This paper cites Sub-ensembles for fast uncertainty estimation in neural networks,.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Sub-ensembles for fast uncertainty estimation in neural networks,

Reference 49

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T11:14:35.760313Z digest=sha256:e41e5c30b24b588af349260eb101d1be90e67e8bb7d033f7d51b7052ccb08233

Observation 0fa9ad4d-73ba-480e-9c92-0f2113efa763 · outbound

This paper cites Posterior network: Uncertainty estimation without ood samples via density-based pseudo- counts,.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Posterior network: Uncertainty estimation without ood samples via density-based pseudo- counts,

Reference 50

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 49885603-35b0-42b4-888b-305fa3fee6fc · outbound

This paper cites The Hidden Uncertainty in a Neural Networks Activations.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles The Hidden Uncertainty in a Neural Networks Activations

Reference 51

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:14:35.772106Z digest=sha256:f59301468d87bd2273697199ef1ccaf9aa419c85faba9cfba0143b218fcec433

Observation 3ec90785-4248-4300-913c-cddc3473be3e · outbound

This paper cites Deep deterministic uncertainty: A new simple baseline,.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Deep deterministic uncertainty: A new simple baseline,

Reference 52

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T11:14:35.778217Z digest=sha256:3efbdd6184d9eb883d04acad60863ba99044ae5c401155f0fa1e7aa2b2a07084

Observation 1aaa66b6-422f-4fdf-af8b-4663372ef1fe · outbound

This paper cites Contrastive Training for Improved Out-of-Distribution Detection.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Contrastive Training for Improved Out-of-Distribution Detection

Reference 53

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Observation 8936d4e4-4a1c-4b39-a62c-60942054d100 · outbound

This paper cites Simple and principled uncertainty estimation with deterministic deep learning via distance awareness,.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Simple and principled uncertainty estimation with deterministic deep learning via distance awareness,

Reference 54

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verified fuzzy
raw_fallback, observed 2026-08-11T11:14:36.544591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T11:14:35.790148Z digest=sha256:a1e288635e6eba1607bcd8df7ad7a27db2a407be07a38338fda5f45a704837bd

Observation 46b8f4ba-a3dd-463f-8ebe-2da2c9b101ad · outbound

This paper cites Single-model uncertainties for deep learning,.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Single-model uncertainties for deep learning,

Reference 55

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T11:14:35.796005Z digest=sha256:fe772369eeed170d46b2bfc540767e6a6bb875343e65ab5755f73416df67b0d0

Observation 61d922f6-9ebf-415d-a1da-1cde18991b0e · outbound

This paper cites On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty

Reference 56

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Unavailable: canonical work link unavailable.

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Observation 470bf609-7d30-42f3-a6c5-e43245c200c1 · outbound

This paper cites Improved training of wasserstein GANs,.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Improved training of wasserstein GANs,

Reference 57

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verified fuzzy
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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 0b8b220b-e8f7-410e-8abb-4dd4ae3fcb3a · outbound

This paper cites On the Practicality of Deterministic Epistemic Uncertainty.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles On the Practicality of Deterministic Epistemic Uncertainty

Reference 58

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation cd2ff2c4-de5b-4030-aaad-f5fe0df23136 · outbound

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

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Learning multiple layers of features from tiny images,

Reference 59

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raw_fallback, observed 2026-08-11T11:14:36.479332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T11:14:35.829771Z digest=sha256:383744218476ce6574eb3489324acb20672ea82da42fa71beb233fd0916d6312

Observation 08fae9f2-2781-4e4d-b53d-b636095d7c31 · outbound

This paper cites Places: A 10 million image database for scene recognition,.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Places: A 10 million image database for scene recognition,

Reference 60

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 873278d3-e460-4b36-aab0-5fb0013aeed0 · outbound

This paper cites Reading digits in natural images with unsupervised feature learning,.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Reading digits in natural images with unsupervised feature learning,

Reference 61

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raw_fallback, observed 2026-08-11T11:14:36.435848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T11:14:35.842125Z digest=sha256:675f227c01902dec2ec6302106ae4161045fd1b401ef4efa718882a47861452e

Observation 5952c888-5535-4db9-b1ec-11dc768ba880 · outbound

This paper cites Describing textures in the wild,.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Describing textures in the wild,

Reference 62

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 727edc22-9ce4-4aa1-82e6-70c53687ba55 · outbound

This paper cites Tiny imagenet visual recognition challenge,.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Tiny imagenet visual recognition challenge,

Reference 63

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Observation 37db7f40-0502-4a14-bbb8-a77688560350 · outbound

This paper cites Benchmarking neural network robust- ness to common corruptions and perturbations,.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Benchmarking neural network robust- ness to common corruptions and perturbations,

Reference 64

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation dc3b9ae2-787d-4396-9a1b-1bf5a1b3f8da · outbound

This paper cites A simple approach to improve single-model deep uncertainty via distance-awareness.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles A simple approach to improve single-model deep uncertainty via distance-awareness

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T11:14:36.361833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T11:14:35.867580Z digest=sha256:d740aca912973793abac0f633cf0e62774b6538d1de228b77776a2eea7c92808

Observation 12c4ec4f-697c-4a6e-a95d-72887d76af67 · outbound

This paper cites Obtaining well calibrated probabilities using Bayesian binning,.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Obtaining well calibrated probabilities using Bayesian binning,

Reference 66

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verified fuzzy
raw_fallback, observed 2026-08-11T11:14:36.341928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T11:14:35.873177Z digest=sha256:7b0ffa2ab5f97a2cc09958b56afabf97f78bbe568cea643e37f2955cdd0f6540

Observation a7b37846-cf47-4093-96ac-c603b4300720 · outbound

This paper cites Clanuwat, M.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Clanuwat, M

Reference 67

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raw_fallback, observed 2026-08-11T11:14:36.322268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T11:14:35.880139Z digest=sha256:2d2320524e1866f2da5d090d15fb19e959badb9eb5864cd979fddc5bf533265b

Observation afc2eb16-5aa0-4e3d-9125-9e89d94d17ca · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 68

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:14:35.885721Z digest=sha256:2f91e841b8a892945e1a95127b62d8dfcf1056f53e1cf5ef62eb3d76d6a625cd

Observation 4378e0a3-1381-4ee8-8ddc-411ca73a531f · outbound

This paper cites Human-level concept learning through probabilistic program induction,.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Human-level concept learning through probabilistic program induction,

Reference 69

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raw_fallback, observed 2026-08-11T11:14:36.303480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T11:14:35.891612Z digest=sha256:d96a8b6e1ad1cc9e8ec9d802a73db1b3cb2de79f8320a814fef0ef0782af1fbb

Observation b6631aec-0973-47b0-9928-0c37202ff7e4 · outbound

This paper cites Available: https://openreview.net/forum?id=CAt2LeiiSc.

Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles Available: https://openreview.net/forum?id=CAt2LeiiSc

Reference 2024

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verified fuzzy
raw_fallback, observed 2026-08-11T11:14:37.036721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-11T11:14:35.557713Z digest=sha256:beae175f7eabbb326978f034acc6d54abe366d38354798f03862be80c09f02c7

Pith citing papers

Observation 94ebb6e4-1723-407c-ab10-5217d3e21cc8 · inbound

Controllable Diversity in Normalization-Based Implicit Ensembles via Softmax-Temperature Modulation cites this paper.

Controllable Diversity in Normalization-Based Implicit Ensembles via Softmax-Temperature Modulation Function Space Diversity for Uncertainty Prediction via Repulsive Last-Layer Ensembles

Reference 2013

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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