Representation Learning for Equivariant Inference with Guarantees | Paper Citation Record

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This paper cites Joint measures and cross-covariance operators.

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This paper cites On the surrogate gap between contrastive and supervised losses.

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Reference 2

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This paper cites Representation learning: A review and new perspectives.

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This paper cites Concentration Inequalities for Sums and Martingales.

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Reference 4

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This paper cites On the sample complexity of learning under geometric stability.

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Reference 5

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This paper cites Contact model fusion for event-based locomotion in unstructured terrains.

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Reference 6

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This paper cites Clifford Neural Layers for PDE Modeling.

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Reference 7

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This paper cites Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges.

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Reference 8

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This paper cites La théorie des groupes finis et continus et l’analysis situs.

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Reference 9

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This paper cites A simple framework for contrastive learning of visual representations.

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Reference 10

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This paper cites When does contrastive visual representation learning work? In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 14755–14764, June 2022.

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Reference 11

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This paper cites Equivariant self-supervised learning: Encouraging equivariance in representations.

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Reference 12

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This paper cites Equivariant contrastive learning.

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Reference 13

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This paper cites How rotational invariance of common kernels prevents generalization in high dimensions.

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Reference 14

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This paper cites Group theory: application to the physics of condensed matter.

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Reference 15

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This paper cites The approximation of one matrix by another of lower rank.

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Reference 16

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Reference 17

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This paper cites Provably strict generalisation benefit for invariance in kernel methods.

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Reference 18

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This paper cites Provably strict generalisation benefit for equivariant models.

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Reference 19

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This paper cites Calibrated multiple-output quantile regression with representation learning.

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Reference 20

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This paper cites Dimensionality reduction for supervised learning with reproducing kernel hilbert spaces.

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Reference 21

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This paper cites Dynamic identification of robots with power model.

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Reference 22

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This paper cites Conditional gaussian mixture models for environmental risk mapping.

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Reference 23

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This paper cites Springer Science & Business Media, 2012.

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Reference 24

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This paper cites Structuring representation geometry with rotationally equivariant contrastive learning.

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Reference 25

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This paper cites HaoChen, Colin Wei, Adrien Gaidon, and Tengyu Ma.

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Reference 26

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This paper cites Beyond separability: Analyzing the linear transferability of contrastive representations to related subpopulations.

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Reference 27

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This paper cites Data-efficient image recognition with contrastive predictive coding.

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Reference 28

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Reference 29

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This paper cites Machine Learning Beyond Point Predictions: Uncertainty Quantification.

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This paper cites Contrastive Learning Can Find An Optimal Basis For Approximately View-Invariant Functions.

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Reference 34

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Reference 36

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Reference 37

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Reference 39

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Reference 41

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Reference 42

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Reference 43

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Reference 44

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This paper cites Equivariant representation learning via class-pose decomposition.

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Reference 45

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Reference 46

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Reference 47

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Reference 48

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This paper cites Muse: A real-time multi-sensor state estimator for quadruped robots.

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Reference 50

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Reference 51

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Reference 52

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This paper cites Dynamics harmonic analysis of robotic systems: Appli- cation in data-driven koopman modelling.

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Reference 53

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This paper cites Mor- phological symmetries in robotics.

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Reference 55

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Reference 56

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This paper cites Koopman operator and its approximations for systems with symmetries.

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Reference 57

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Observation adae26e6-11e6-4e79-b257-0fe565879505 · outbound

This paper cites an unresolved cited work.

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Reference 58

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:14:59.185641Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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This paper cites Group symmetry and covariance regularization.

Representation Learning for Equivariant Inference with Guarantees Group symmetry and covariance regularization

Reference 59

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Source-reported events for the cited work

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This paper cites an unresolved cited work.

Representation Learning for Equivariant Inference with Guarantees Unresolved cited work

Reference 60

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This paper cites Hilbert space embeddings of conditional distributions with applications to dynamical systems.

Representation Learning for Equivariant Inference with Guarantees Hilbert space embeddings of conditional distributions with applications to dynamical systems

Reference 61

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1aef893e-25cb-474e-9d0d-08e89ad9abce · outbound

This paper cites Density ratio estimation in machine learning.

Representation Learning for Equivariant Inference with Guarantees Density ratio estimation in machine learning

Reference 62

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Representation Learning for Equivariant Inference with Guarantees The exact sample complexity gain from invariances for kernel regression

Reference 63

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Representation Learning for Equivariant Inference with Guarantees Contrastive learning, multi-view redundancy, and linear models

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:14:58.729107Z

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Representation Learning for Equivariant Inference with Guarantees Neural methods for point-wise dependency estimation

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:14:58.560124Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a39475db-7fd4-4918-a355-9a60863a0387 · outbound

This paper cites Self-supervised representation learning with relative predictive coding.

Representation Learning for Equivariant Inference with Guarantees Self-supervised representation learning with relative predictive coding

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:14:58.381273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation fc92a4a7-1dd6-493f-9a79-cf67fdde574a · outbound

This paper cites On the benefits of gpu sample-based stochastic predictive controllers for legged locomotion.

Representation Learning for Equivariant Inference with Guarantees On the benefits of gpu sample-based stochastic predictive controllers for legged locomotion

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:52.368621Z

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This paper cites Mdp homomorphic networks: Group symmetries in reinforcement learning.

Representation Learning for Equivariant Inference with Guarantees Mdp homomorphic networks: Group symmetries in reinforcement learning

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:14:58.197276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 38e4e712-870a-4276-aed7-2c02ea78d3df · outbound

This paper cites Introduction to the non-asymptotic analysis of random matrices.

Representation Learning for Equivariant Inference with Guarantees Introduction to the non-asymptotic analysis of random matrices

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:52.569451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8a4ff88-0c84-4189-a3a9-bab50ea5f404 · outbound

This paper cites Towards understanding the mechanism of contrastive learning via similarity structure: A theoretical analysis.

Representation Learning for Equivariant Inference with Guarantees Towards understanding the mechanism of contrastive learning via similarity structure: A theoretical analysis

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:14:58.003074Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2ee5aa60-08c8-4619-919d-030a98b4ea75 · outbound

This paper cites Incorporating symmetry into deep dynamics models for improved generalization.

Representation Learning for Equivariant Inference with Guarantees Incorporating symmetry into deep dynamics models for improved generalization

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:14:57.830514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a3f1aa91-76af-4624-b6d0-2d936273117c · outbound

This paper cites Incorporating Symmetry into Deep Dynamics Models for Improved Generalization.

Representation Learning for Equivariant Inference with Guarantees Incorporating Symmetry into Deep Dynamics Models for Improved Generalization

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-07T14:14:52.841417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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This paper cites Approximately equivariant networks for imperfectly symmetric dynamics.

Representation Learning for Equivariant Inference with Guarantees Approximately equivariant networks for imperfectly symmetric dynamics

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:14:57.691421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9e1e986a-f15c-441d-b049-f75f0e926787 · outbound

This paper cites Disentangled representation learning.

Representation Learning for Equivariant Inference with Guarantees Disentangled representation learning

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:14:57.521318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 369692fe-9973-4b49-afc3-b434fbe21338 · outbound

This paper cites Understand- ing the role of equivariance in self-supervised learning.

Representation Learning for Equivariant Inference with Guarantees Understand- ing the role of equivariance in self-supervised learning

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:14:57.369870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 193150ff-ffcd-4366-b346-28af238f73f9 · outbound

This paper cites Spectral Representation Learning for Conditional Moment Models.

Representation Learning for Equivariant Inference with Guarantees Spectral Representation Learning for Conditional Moment Models

Reference 76

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:14:55.294625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4332abfe-5bf2-4516-960b-9ddfb174be36 · outbound

This paper cites All of Nonparametric Statistics.

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Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:14:57.218472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4c585498-72a2-4248-82de-5e8daf9d64e8 · outbound

This paper cites World Scientific, 2023.

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Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:14:57.041338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 70a61bf4-a70c-42c7-a3c0-3dd8e5756d85 · outbound

This paper cites Latent space symmetry discovery.

Representation Learning for Equivariant Inference with Guarantees Latent space symmetry discovery

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:14:56.830939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5295a258-8ef4-418a-a9be-7ccc53d4b62c · outbound

This paper cites Contrastive-equivariant self-supervised learning improves alignment with primate visual area it.

Representation Learning for Equivariant Inference with Guarantees Contrastive-equivariant self-supervised learning improves alignment with primate visual area it

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:14:56.650657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c8a87ce0-36d3-4a23-9848-1d0ce727fc93 · outbound

This paper cites Sample Efficient Grasp Learning Using Equivariant Models.

Representation Learning for Equivariant Inference with Guarantees Sample Efficient Grasp Learning Using Equivariant Models

Reference 81

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:14:56.441727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bdeae96c-2573-4c48-b71c-fbdc263f25ab · outbound

This paper cites Contrastive learning using spectral methods.

Representation Learning for Equivariant Inference with Guarantees Contrastive learning using spectral methods

Reference 82

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:14:56.274137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 836d345c-a4af-477e-bb32-d4a6f2456138 · outbound

This paper cites an unresolved cited work.

Representation Learning for Equivariant Inference with Guarantees Unresolved cited work

Reference 84

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:14:56.084938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d07fa323-8f28-4270-9979-d1e308d12207 · outbound

This paper cites an unresolved cited work.

Representation Learning for Equivariant Inference with Guarantees Unresolved cited work

Reference 85

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:14:55.924150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7f645158-3015-487e-9ba9-3b864adbb895 · outbound

This paper cites an unresolved cited work.

Representation Learning for Equivariant Inference with Guarantees Unresolved cited work

Reference 86

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:14:55.816282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 30e2c0e1-aba6-405b-81fc-dc17a6f9ba96 · outbound

This paper cites A random variable Z satisfying any of the above assertions is called a sub-Gaussian random variable.

Representation Learning for Equivariant Inference with Guarantees A random variable Z satisfying any of the above assertions is called a sub-Gaussian random variable

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:14:55.716414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a34a2f2c-f4f3-4957-a8ce-51260e28b909 · outbound

This paper cites an unresolved cited work.

Representation Learning for Equivariant Inference with Guarantees Unresolved cited work

Reference 1991

Resolution: verified exact; doi, observed 2026-08-07T14:14:54.937394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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