Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions | Paper Citation Record

Observation 8044d198-7820-44d6-bef5-cbe37a843743 · outbound

This paper cites Simplex-structured matrix factorization: Sparsity-based identifiability and provably correct algorithms.SIAM Journal on Mathematics of Data Science, 3(2):593–623, 2021.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Simplex-structured matrix factorization: Sparsity-based identifiability and provably correct algorithms.SIAM Journal on Mathematics of Data Science, 3(2):593–623, 2021

Reference 1

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This paper cites Princeton University Press.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Princeton University Press

Reference 2

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This paper cites Manifold learning by mixture models of vaes for inverse problems.Journal of Machine Learning Research, 25(202):1–35.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Manifold learning by mixture models of vaes for inverse problems.Journal of Machine Learning Research, 25(202):1–35

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:54:53.739552Z

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This paper cites A survey on archetypal analysis.arXiv preprint arXiv:2504.12392, 2025.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions A survey on archetypal analysis.arXiv preprint arXiv:2504.12392, 2025

Reference 4

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Observation 6173c1d6-e3aa-4b2e-b556-b5d710a469e4 · outbound

This paper cites A locally adaptive normal distribution.Advances in Neural Information Processing Systems, 29.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions A locally adaptive normal distribution.Advances in Neural Information Processing Systems, 29

Reference 5

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This paper cites Uncov- ering developmental lineages from single-cell data with contrastive poincar ´e maps.bioRxiv, pages 2025–08, 2025.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Uncov- ering developmental lineages from single-cell data with contrastive poincar ´e maps.bioRxiv, pages 2025–08, 2025

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:54:53.714785Z

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Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Unresolved cited work

Reference 7

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Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Unresolved cited work

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:54:53.743263Z

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This paper cites Cambridge University Press.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Cambridge University Press

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:54:53.712627Z

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Observation 366d480c-24b5-4ba3-b77e-2ff91bb756fe · outbound

This paper cites Birkh ¨auser, 1992.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Birkh ¨auser, 1992

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:54:53.720550Z

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Observation 8571e4b1-eec6-4e8f-ae71-e08a28c6b0eb · outbound

This paper cites Redunet: A white-box deep network from the principle of maximizing rate reduction.Journal of machine learning research, 23(114):1–103, 2022.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Redunet: A white-box deep network from the principle of maximizing rate reduction.Journal of machine learning research, 23(114):1–103, 2022

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:54:53.717846Z

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Observation 7e71569a-3fd6-4363-9e8e-a8e388f778be · outbound

This paper cites The specious art of single-cell genomics.PLOS Computational Biology, 19(8):e1011288, 2023.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions The specious art of single-cell genomics.PLOS Computational Biology, 19(8):e1011288, 2023

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:54:53.722218Z

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Observation e1c959d0-e022-47b9-b3b3-0f6e2f45fd4c · outbound

This paper cites Curvature Corrected Nonnegative Manifold Data Factorization.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Curvature Corrected Nonnegative Manifold Data Factorization

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-06-30T16:35:12.364884Z

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Observation c6a6c393-363f-44e1-8570-3eeeb4b1703f · outbound

This paper cites Hyperbolic vae via latent gaussian distributions.Advances in Neural Information Processing Systems, 36:569–588, 2023.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Hyperbolic vae via latent gaussian distributions.Advances in Neural Information Processing Systems, 36:569–588, 2023

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:54:53.784186Z

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Observation 0a06031d-1a52-4fd7-ad6c-5d4f05e11a95 · outbound

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

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Independent component analysis, a new concept?Signal processing, 36(3):287–314

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:54:53.726239Z

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Observation f6a9a7ea-a1e0-4aa9-b496-1ec6a8612769 · outbound

This paper cites Archetypal analysis.Technometrics, 36(4):338–347, 1994.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Archetypal analysis.Technometrics, 36(4):338–347, 1994

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:54:53.772882Z

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Observation 0cf16549-ef9a-450d-a37a-a3eae4131b07 · outbound

This paper cites Intermediate layer optimization for inverse problems using deep generative models.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Intermediate layer optimization for inverse problems using deep generative models

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:54:53.724004Z

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Observation d96951c3-8c19-4de8-8e8c-d146be0d1764 · outbound

This paper cites Davidson, Luca Falorsi, Nicola De Cao, Thomas Kipf, and Jakub M.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Davidson, Luca Falorsi, Nicola De Cao, Thomas Kipf, and Jakub M

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:54:53.761768Z

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Observation 3a45b746-7bd8-40fe-ba65-6cfacfccb9c7 · outbound

This paper cites Pulling back symmetric Riemannian geometry for data analysis.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Pulling back symmetric Riemannian geometry for data analysis

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-06-30T16:35:12.356696Z

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Observation 1fb0c0c6-54c5-4824-8c07-6c5eb366e025 · outbound

This paper cites Score-based pullback riemannian geometry: Extracting the data manifold geometry using anisotropic flows.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Score-based pullback riemannian geometry: Extracting the data manifold geometry using anisotropic flows

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:54:53.698350Z

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Observation 3f4a127c-b8fb-4962-885c-6d0f1045d190 · outbound

This paper cites Curvature-corrected tangent space-based approximation of manifold-valued data.Information and Inference: A Journal of the IMA, 14(4):iaaf031, 2025.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Curvature-corrected tangent space-based approximation of manifold-valued data.Information and Inference: A Journal of the IMA, 14(4):iaaf031, 2025

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:54:53.769830Z

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Observation 454457d8-d316-4b59-b331-c08146003264 · outbound

This paper cites Riemannian AmbientFlow: Towards Simultaneous Manifold Learning and Generative Modeling from Corrupted Data.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Riemannian AmbientFlow: Towards Simultaneous Manifold Learning and Generative Modeling from Corrupted Data

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Resolution: verified exact; local_arxiv, observed 2026-06-30T16:35:12.359193Z

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Observation 173a66ab-1a18-4eae-ae9d-68fcb5db8d28 · outbound

This paper cites Manifold learning with normalizing flows: Towards regularity, expres- sivity and iso-riemannian geometry.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Manifold learning with normalizing flows: Towards regularity, expres- sivity and iso-riemannian geometry

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Resolution: verified exact; arxiv_id, observed 2026-06-30T16:35:12.376739Z

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Observation 28611b7c-ff2c-413c-b414-f02e7b68bb25 · outbound

This paper cites Iso-Riemannian Optimization on Learned Data Manifolds.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Iso-Riemannian Optimization on Learned Data Manifolds

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Resolution: verified exact; local_arxiv, observed 2026-06-30T16:35:12.379553Z

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Observation c57e19a3-611f-4f6c-8e2f-29ae0fffe6a2 · outbound

This paper cites Convex and semi-nonnegative matrix factorizations.IEEE transactions on pattern analysis and machine intelligence, 32(1):45–55, 2008.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Convex and semi-nonnegative matrix factorizations.IEEE transactions on pattern analysis and machine intelligence, 32(1):45–55, 2008

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:54:53.704393Z

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This paper cites NICE: Non-linear Independent Components Estimation.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions NICE: Non-linear Independent Components Estimation

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Resolution: verified exact; local_arxiv, observed 2026-06-30T16:35:12.386766Z

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Observation 6186e063-87ab-4cce-818e-fb6c8489297c · outbound

This paper cites Testing the manifold hypothesis.Journal of the American Mathematical Society, 29(4):983–1049.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Testing the manifold hypothesis.Journal of the American Mathematical Society, 29(4):983–1049

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:54:53.692458Z

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Observation c16a2ea6-6d36-480f-be44-a38dbc999a48 · outbound

This paper cites Principal geodesic analysis for the study of nonlinear statistics of shape.IEEE transactions on medical imaging, 23(8):995–1005, 2004.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Principal geodesic analysis for the study of nonlinear statistics of shape.IEEE transactions on medical imaging, 23(8):995–1005, 2004

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:54:53.694352Z

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Observation 8487df4f-8e21-4fb5-8e48-8d8f9016c13f · outbound

This paper cites Riemannian metric learning: Closer to you than you imagine.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Riemannian metric learning: Closer to you than you imagine

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Resolution: verified exact; arxiv_id, observed 2026-06-30T16:35:12.380249Z

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Observation b61644e7-6252-42e5-a1fe-4ef496edb820 · outbound

This paper cites Phase retrieval under a generative prior.Advances in Neural Information Processing Systems, 31.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Phase retrieval under a generative prior.Advances in Neural Information Processing Systems, 31

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:54:53.700291Z

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Observation 49978dac-4f9d-42e5-b165-3f2fdfe64f48 · outbound

This paper cites Global guarantees for enforcing deep generative priors by empirical risk.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Global guarantees for enforcing deep generative priors by empirical risk

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Observation 36a3d31b-31f1-4f9f-b7bb-c84f52de1e50 · outbound

This paper cites Geodesic Calculus on Implicitly Defined Latent Manifolds.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Geodesic Calculus on Implicitly Defined Latent Manifolds

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Observation 58c16912-c820-4251-8325-c1ceb2892563 · outbound

This paper cites A geometric take on metric learning.Advances in Neural Information Processing Systems, 25.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions A geometric take on metric learning.Advances in Neural Information Processing Systems, 25

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Observation 1ac369fd-a1ae-432e-a7bf-8d16c230fc83 · outbound

This paper cites Ehrhardt, and Sebastian Neumayer.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Ehrhardt, and Sebastian Neumayer

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Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T16:35:12.367880Z

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Observation 732a5d8c-c856-4efb-8559-307ee3f80a7a · outbound

This paper cites On a nonlinear generalization of sparse coding and dictionary learn- ing.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions On a nonlinear generalization of sparse coding and dictionary learn- ing

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:54:53.793636Z

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Observation 88f893e9-e4a8-43c9-9f44-1730e065ea42 · outbound

This paper cites Riemannian center of mass and mollifier smoothing.Communications on pure and applied mathematics, 30(5):509–541.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Riemannian center of mass and mollifier smoothing.Communications on pure and applied mathematics, 30(5):509–541

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:54:53.795578Z

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Observation 2042167a-4a58-4486-9f9c-d7c5ac7472d7 · outbound

This paper cites Learning extremal representations with deep archetypal analysis.International journal of computer vision, 129(4):805– 820, 2021.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Learning extremal representations with deep archetypal analysis.International journal of computer vision, 129(4):805– 820, 2021

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:54:53.799429Z

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Observation 7bdcd55e-2279-4bb7-bd5d-68924f3f070c · outbound

This paper cites Auto-Encoding Variational Bayes.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Auto-Encoding Variational Bayes

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Resolution: verified exact; local_arxiv, observed 2026-06-30T16:35:12.386440Z

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Observation 9789559c-c4ff-48eb-975d-7b420d345fff · outbound

This paper cites Glow: Generative flow with invertible 1x1 convolutions.Advances in neural information processing systems, 31.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Glow: Generative flow with invertible 1x1 convolutions.Advances in neural information processing systems, 31

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:54:53.803199Z

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Observation 3e4fae84-c9c9-49cd-a546-fee19e5474fe · outbound

This paper cites Non-negative matrix factor- ization and deconvolution as a dual simplex problem.Genome Biology, 2026.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Non-negative matrix factor- ization and deconvolution as a dual simplex problem.Genome Biology, 2026

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:54:53.790112Z

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Observation 885da112-fd4a-412d-905b-1d075545784a · outbound

This paper cites Ldle: Low distortion local eigenmaps.Journal of machine learning research, 22(282):1–64, 2021.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Ldle: Low distortion local eigenmaps.Journal of machine learning research, 22(282):1–64, 2021

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:54:53.791870Z

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Observation 2fd3c509-7c27-4757-b59a-6a75fe7a9b72 · outbound

This paper cites Smooth manifolds.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Smooth manifolds

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:54:53.788153Z

Source-reported events for the cited work

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Observation 411b5cc1-6bc8-404b-a4af-716ec1f6f392 · outbound

This paper cites Geometry-Preserving Encoder/Decoder in Latent Generative Models.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Geometry-Preserving Encoder/Decoder in Latent Generative Models

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Observation e177d500-2fab-43b1-a727-bb7e9ebe9ddf · outbound

This paper cites Inverting deep generative models, one layer at a time.Advances in neural information processing systems, 32, 2019.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Inverting deep generative models, one layer at a time.Advances in neural information processing systems, 32, 2019

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:54:53.789953Z

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Observation 9f2eaa37-6f5f-46cc-9d63-d7a212864a19 · outbound

This paper cites The star geometry of critic-based regularizer learning.Advances in Neural Information Processing Systems, 37:71240–71276, 2024.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions The star geometry of critic-based regularizer learning.Advances in Neural Information Processing Systems, 37:71240–71276, 2024

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:54:53.801392Z

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Observation 162cb6c9-2c66-4c2b-9bb3-87b2d2f06fc0 · outbound

This paper cites Optimal regularization for a data source.Foundations of Computational Mathematics, pages 1–50.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Optimal regularization for a data source.Foundations of Computational Mathematics, pages 1–50

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Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:54:53.782389Z

Source-reported events for the cited work

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Observation af52aee9-8be9-41ea-9452-cd788a30708c · outbound

This paper cites A recovery theory for diffusion priors: Deterministic analysis of the implicit prior algorithm.arXiv preprint arXiv:2509.20511, 2025.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions A recovery theory for diffusion priors: Deterministic analysis of the implicit prior algorithm.arXiv preprint arXiv:2509.20511, 2025

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-06-30T16:35:12.361993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation a8505374-1c13-4b5c-a225-43bd9f4c352c · outbound

This paper cites Minimum volume simplex analysis: A fast algorithm to unmix hyperspectral data.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Minimum volume simplex analysis: A fast algorithm to unmix hyperspectral data

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:54:53.776913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation f16bcf26-ca72-4c33-ac1c-7b8060b489ad · outbound

This paper cites an unresolved cited work.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Unresolved cited work

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:54:53.780535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation 1d0c04ff-b614-4694-9431-9a285fff851c · outbound

This paper cites an unresolved cited work.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Unresolved cited work

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:54:53.771166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation 6a44304e-75a3-418b-bc9d-baa1f50095ee · outbound

This paper cites Geomstats: A python package for riemannian geometry in machine learning.Journal of Machine Learning Research, 21(223):1–9, 2020.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Geomstats: A python package for riemannian geometry in machine learning.Journal of Machine Learning Research, 21(223):1–9, 2020

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:54:53.769404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation 9ce259a2-1f9f-4a46-b6e9-9415436c11d6 · outbound

This paper cites Visualizing structure and transitions in high-dimensional biological data.Nature biotechnology, 37(12):1482–1492.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Visualizing structure and transitions in high-dimensional biological data.Nature biotechnology, 37(12):1482–1492

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:54:53.751779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation 1ce58152-683b-4706-83b8-46b9dea86ef1 · outbound

This paper cites Vertex component analysis: A fast algorithm to unmix hyperspectral data.IEEE transactions on Geoscience and Remote Sensing, 43(4):898–910, 2005.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Vertex component analysis: A fast algorithm to unmix hyperspectral data.IEEE transactions on Geoscience and Remote Sensing, 43(4):898–910, 2005

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:54:53.763821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation 58b2340b-03e2-44e9-bef7-ecce88eea5db · outbound

This paper cites Positive matrix factorization: A non-negative factor model with optimal utiliza- tion of error estimates of data values.Environmetrics, 5(2):111–126, 1994.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Positive matrix factorization: A non-negative factor model with optimal utiliza- tion of error estimates of data values.Environmetrics, 5(2):111–126, 1994

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:54:53.804995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation 42d0515c-c1a6-4b17-b574-1807068cae8b · outbound

This paper cites Proximal algorithms.Foundations and Trends in optimization, 1(3):127–239.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Proximal algorithms.Foundations and Trends in optimization, 1(3):127–239

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:54:53.759985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation 8fbc08e0-dad5-4e3b-bcc5-5074dac90551 · outbound

This paper cites an unresolved cited work.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Unresolved cited work

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:54:53.765511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation 39a62f91-0c9a-4ff6-9684-b9d1c0776c8e · outbound

This paper cites Improved learning of riemannian metrics for exploratory analysis.Neural Networks, 17(8-9):1087–1100.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Improved learning of riemannian metrics for exploratory analysis.Neural Networks, 17(8-9):1087–1100

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:54:53.767481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation 03322e82-eb61-4e5b-9277-8b061ef15c27 · outbound

This paper cites Representation learning via manifold flattening and reconstruction.Journal of Machine Learning Research, 25(132):1–47, 2024.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Representation learning via manifold flattening and reconstruction.Journal of Machine Learning Research, 25(132):1–47, 2024

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:54:53.778782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation 0ed74f49-5003-49ee-bdf0-9c546d3da73d · outbound

This paper cites Manifold learning and optimization using tangent space proxies.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Manifold learning and optimization using tangent space proxies

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-06-30T16:35:12.348725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation 7cbbf9e9-e036-4739-8a81-1bd31d83d682 · outbound

This paper cites American Mathematical Soc.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions American Mathematical Soc

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:54:53.797457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation a80334e4-963d-4d34-a4bf-a43ad65ed07f · outbound

This paper cites Riemannian metric learning via optimal transport.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Riemannian metric learning via optimal transport

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:54:53.756680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation 00310718-65dd-4de0-a58f-fbb16ff7ac64 · outbound

This paper cites Manifold Free Riemannian Optimization.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Manifold Free Riemannian Optimization

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-06-30T16:35:12.351265Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation b5196d27-2a91-48e6-bb5e-620ef4fdcdb6 · outbound

This paper cites Learning distances from data with normalizing flows and score matching.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Learning distances from data with normalizing flows and score matching

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:54:53.762290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation 105b5fe1-ef00-4f01-b7a0-af15ac962c16 · outbound

This paper cites an unresolved cited work.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Unresolved cited work

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:54:53.791518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation e1a3c544-4607-408d-8e8e-6c0db07789d1 · outbound

This paper cites K-deep simplex: Manifold learning via local dictionaries.IEEE Transactions on Signal Processing, 71:3741–3754, 2023.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions K-deep simplex: Manifold learning via local dictionaries.IEEE Transactions on Signal Processing, 71:3741–3754, 2023

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:54:53.740483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation 3fa9cc50-2a0a-4189-a608-344a277008ef · outbound

This paper cites Finding archetypal spaces using neural networks.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Finding archetypal spaces using neural networks

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:54:53.728295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation 9bf46664-c3d4-4ada-9ebf-dda2594ad825 · outbound

This paper cites Aanet resolves a continuum of spatially localized cell states to unveil intratumoral heterogeneity.Cancer Discovery, 15(10):2139–2165, 2025.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Aanet resolves a continuum of spatially localized cell states to unveil intratumoral heterogeneity.Cancer Discovery, 15(10):2139–2165, 2025

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:54:53.745396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation 714e36f5-f52b-42b2-924d-09f4238a2d58 · outbound

This paper cites Discovering data manifold geometry via non-contracting flows.arXiv preprint arXiv:2602.02611, 2026.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Discovering data manifold geometry via non-contracting flows.arXiv preprint arXiv:2602.02611, 2026

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-06-30T16:35:12.354036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation 4badb9a4-8750-432c-b8c8-61e4de62f439 · outbound

This paper cites Diffusion models learn low- dimensional distributions via subspace clustering.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Diffusion models learn low- dimensional distributions via subspace clustering

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:54:53.733620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation f626272e-92e3-4beb-be0d-01e6105c1d4c · outbound

This paper cites Statistical exploration of the Manifold Hypothesis.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Statistical exploration of the Manifold Hypothesis

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-06-30T16:35:12.345399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation e718e2d3-ead8-4dac-ba50-7af5368eada3 · outbound

This paper cites Revisiting deep archetypal analysis for phenotype discovery in high content imaging.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Revisiting deep archetypal analysis for phenotype discovery in high content imaging

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:54:53.758523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation 421de4d2-3e14-4986-82b3-f7eb22021d00 · outbound

This paper cites White-box transformers via sparse rate reduction.Advances in Neural Information Processing Systems, 36:9422–9457, 2023.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions White-box transformers via sparse rate reduction.Advances in Neural Information Processing Systems, 36:9422–9457, 2023

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:54:53.731834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation efe677e8-603b-499f-a812-6b9b9047f292 · outbound

This paper cites an unresolved cited work.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Unresolved cited work

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:54:53.749719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation e2f714b8-bb76-4d13-8871-fb55e0816e39 · outbound

This paper cites an unresolved cited work.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions Unresolved cited work

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:54:53.777675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

Observation a42c2d3c-f1bd-451b-a117-bb2e3f8e14a7 · outbound

This paper cites flow steps.

Riemannian Archetypal Analysis: Interpretable non-linear data analysis on deformed star distributions flow steps

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-07-08T12:54:53.729924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-14T06:31:01.685423+00:00.

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Reference resolution

Outbound references

Pith citing papers