Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors | Paper Citation Record

Observation 3a42ab48-0908-4631-a0d3-d1dcf20e2681 · outbound

This paper cites Deep canonical correlation analy- sis.

Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors Deep canonical correlation analy- sis

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Observation dcc35bcb-40d9-4f6a-902b-9257097e3cd0 · outbound

This paper cites Kernel independent component analysis.Journal of ma- chine learning research, 3(Jul):1–48, 2002.

Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors Kernel independent component analysis.Journal of ma- chine learning research, 3(Jul):1–48, 2002

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Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors Unresolved cited work

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Observation 1d17972f-e6f7-42bc-84d1-71649b779c36 · outbound

This paper cites VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning.

Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning

Reference 4

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Observation 218a69b7-8af4-4729-9be7-1b240a01ed78 · outbound

This paper cites Finding minimum entropy codes.Neu- ral computation, 1(3):412–423, 1989.

Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors Finding minimum entropy codes.Neu- ral computation, 1(3):412–423, 1989

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This paper cites Representation learning: A review and new perspectives.IEEE transactions on pattern anal- ysis and machine intelligence, 35(8):1798–1828, 2013.

Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors Representation learning: A review and new perspectives.IEEE transactions on pattern anal- ysis and machine intelligence, 35(8):1798–1828, 2013

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Observation 1485082a-8119-4ff5-b8f1-d4485980ceaa · outbound

This paper cites Deep Generalized Canonical Correlation Analysis.

Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors Deep Generalized Canonical Correlation Analysis

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Observation 95c270a0-b753-4cd7-bee9-7a374de251d5 · outbound

This paper cites Provably learning object-centric representations.

Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors Provably learning object-centric representations

Reference 8

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This paper cites Weakly supervised causal representation learning.Advances in Neural In- formation Processing Systems, 35:38319–38331, 2022.

Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors Weakly supervised causal representation learning.Advances in Neural In- formation Processing Systems, 35:38319–38331, 2022

Reference 9

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Observation a735b13f-c7f1-4226-85c0-b2a873c451fb · outbound

This paper cites Function classes for identifiable nonlinear independent component analysis.Ad- vances in Neural Information Processing Systems, 35:16946–16961, 2022.

Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors Function classes for identifiable nonlinear independent component analysis.Ad- vances in Neural Information Processing Systems, 35:16946–16961, 2022

Reference 10

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Observation b0536ed3-6229-49e3-8268-3d53c1d8a9a0 · outbound

This paper cites Rate-optimal per- turbation bounds for singular subspaces with ap- plications to high-dimensional statistics.

Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors Rate-optimal per- turbation bounds for singular subspaces with ap- plications to high-dimensional statistics

Reference 11

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Observation 26f3aab8-5509-4d1c-853f-018bb101a140 · outbound

This paper cites Blind signal separation: statistical principles.Proceedings of the IEEE, 86(10):2009– 2025, 1998.

Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors Blind signal separation: statistical principles.Proceedings of the IEEE, 86(10):2009– 2025, 1998

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Observation 8006be47-18df-4b3f-8145-73c1946180b3 · outbound

This paper cites Unsupervised learning of visual features by contrasting cluster assignments.Advances in neural information processing systems, 33:9912– 9924, 2020.

Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors Unsupervised learning of visual features by contrasting cluster assignments.Advances in neural information processing systems, 33:9912– 9924, 2020

Reference 13

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Observation 91deb2c0-cab2-4881-a1c2-6be73c471564 · outbound

This paper cites Independent component analysis, a new concept?Signal processing, 36(3):287–314, 1994.

Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors Independent component analysis, a new concept?Signal processing, 36(3):287–314, 1994

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Observation feedd44f-6ea2-473e-aead-86cd8754bdbe · outbound

This paper cites Identifiability Results for Multimodal Contrastive Learning.

Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors Identifiability Results for Multimodal Contrastive Learning

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Observation 2f67bfef-111f-4631-8350-6894be1c4575 · outbound

This paper cites Compressed sensing.IEEE Transactions on information theory, 52(4):1289– 1306, 2006.

Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors Compressed sensing.IEEE Transactions on information theory, 52(4):1289– 1306, 2006

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Observation bf8232f7-bbb9-4c0e-bc7b-d2379f7f98b0 · outbound

This paper cites Polynomial expan- sions of bivariate distributions.The Annals of Mathematical Statistics, 35(3):1208–1215, 1964.

Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors Polynomial expan- sions of bivariate distributions.The Annals of Mathematical Statistics, 35(3):1208–1215, 1964

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Observation ae085ac2-7a8d-4b2d-9c79-7d502805d617 · outbound

This paper cites Whitening for self- supervised representation learning.

Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors Whitening for self- supervised representation learning

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Observation 567ae457-8a84-44e4-ac8f-77c1548b1c2a · outbound

This paper cites Statistical consistency of kernel canon- ical correlation analysis.Journal of Machine Learning Research, 8(2), 2007.

Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors Statistical consistency of kernel canon- ical correlation analysis.Journal of Machine Learning Research, 8(2), 2007

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Observation c6aee0b5-08f1-40a7-8e28-60ccb8fc5ac9 · outbound

This paper cites Sparse cca: Adaptive estimation and computa- tional barriers.

Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors Sparse cca: Adaptive estimation and computa- tional barriers

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This paper cites Independent mechanism analysis, a new concept?Advances in neural information process- ing systems, 34:28233–28248, 2021.

Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors Independent mechanism analysis, a new concept?Advances in neural information process- ing systems, 34:28233–28248, 2021

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Observation 8fbab9c5-febc-4107-a25a-e58bef25a505 · outbound

This paper cites Sparse canonical correlation analysis.Machine Learning, 83(3):331–353, 2011.

Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors Sparse canonical correlation analysis.Machine Learning, 83(3):331–353, 2011

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This paper cites beta- vae: Learning basic visual concepts with a con- strained variational framework.

Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors beta- vae: Learning basic visual concepts with a con- strained variational framework

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Observation 51933acb-8126-4e6f-858f-2e4f37a781c8 · outbound

This paper cites Relations between two sets of variates.Biometrika, 28(3/4):321–377, 1936.

Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors Relations between two sets of variates.Biometrika, 28(3/4):321–377, 1936

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This paper cites Unsuper- vised feature extraction by time-contrastive learn- ing and nonlinear ica.Advances in neural infor- mation processing systems, 29, 2016.

Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors Unsuper- vised feature extraction by time-contrastive learn- ing and nonlinear ica.Advances in neural infor- mation processing systems, 29, 2016

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This paper cites Nonlinear ica of temporally dependent stationary sources.

Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors Nonlinear ica of temporally dependent stationary sources

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Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors Independent component analysis: algorithms and applications

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This paper cites Nonlinear independent component analysis: Existence and uniqueness results.Neural networks, 12(3):429– 439, 1999.

Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors Nonlinear independent component analysis: Existence and uniqueness results.Neural networks, 12(3):429– 439, 1999

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Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors Nonlinear ica using auxiliary variables and generalized contrastive learning

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This paper cites Revisiting deep generalized canonical correlation analysis.IEEE Transactions on Signal Process- ing, 71:4392–4406, 2023.

Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors Revisiting deep generalized canonical correlation analysis.IEEE Transactions on Signal Process- ing, 71:4392–4406, 2023

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Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors Variational au- toencoders and nonlinear ica: A unifying frame- work

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Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors Ice-beem: Identifi- able conditional energy-based deep models based on nonlinear ica.Advances in Neural Information Processing Systems, 33:12768–12778, 2020

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Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding

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Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors Ad- ditive decoders for latent variables identifica- tion and cartesian-product extrapolation.Ad- vances in Neural Information Processing Systems, 36:25112–25150, 2023

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Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors Disentan- glement via mechanism sparsity regularization: A new principle for nonlinear ica

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Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors The structure of bivari- ate distributions.The Annals of Mathematical Statistics, 29(3):719–736, 1958

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Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors Citris: Causal identifiability from temporal inter- vened sequences

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Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors Challenging com- mon assumptions in the unsupervised learning of disentangled representations

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Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors A sober look at the unsupervised learning of disentangled repre- sentations and their evaluation.Journal of Ma- chine Learning Research, 21(209):1–62, 2020

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Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors Weakly-supervised disentanglement without compromises

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Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors Nonlinear multiview anal- ysis: Identifiability and neural network-assisted implementation.IEEE Transactions on Signal Processing, 68:2697–2712, 2020

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Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors Understanding Latent Correlation-Based Multiview Learning and Self-Supervision: An Identifiability Perspective

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Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors Subspace perspec- tive on canonical correlation analysis: Dimension reduction and minimax rates

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Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors Towards a unified framework of contrastive learning for disentangled representations.Ad- vances in Neural Information Processing Systems, 36:67459–67470, 2023

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Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors Ueber die entwicklung einer function von beliebig vielen variablen nach laplaceschen functionen h¨ oherer ordnung

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Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors Nonparametric canonical correlation analysis

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Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors Inde- pendent component analysis with code informa- tion utilization in ds-cdma signal separation

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Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors Toward causal representation learning.Proceedings of the IEEE, 109(5):612–634, 2021

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Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors Weakly super- vised disentangled generative causal representa- tion learning.Journal of Machine Learning Re- search, 23(241):1–55, 2022

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Observation 2776cb12-2704-4ca7-a128-9a07681f12d6 · outbound

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Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors Weakly Supervised Disentanglement with Guarantees

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Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells.Nature biotechnology, 32(4):381–386, 2014

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Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors Self- supervised learning with data augmentations provably isolates content from style.Advances in neural information processing systems, 34:16451– 16467, 2021

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Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors Barlow twins: Self- supervised learning via redundancy reduction

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This paper cites Identifiability guar- antees for causal disentanglement from soft inter- ventions.Advances in Neural Information Pro- cessing Systems, 36:50254–50292, 2023.

Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors Identifiability guar- antees for causal disentanglement from soft inter- ventions.Advances in Neural Information Pro- cessing Systems, 36:50254–50292, 2023

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This paper cites On the identifiability of nonlinear ica: Sparsity and beyond.Advances in neural information process- ing systems, 35:16411–16422, 2022.

Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors On the identifiability of nonlinear ica: Sparsity and beyond.Advances in neural information process- ing systems, 35:16411–16422, 2022

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This paper cites Contrastive learning inverts the data gener- ating process.

Provable Affine Identifiability of Nonlinear CCA under Latent Distributional Priors Contrastive learning inverts the data gener- ating process

Reference 56

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