PR
Philippe Rigollet
math.STstat.THcs.LGstat.MLmath.APmath.OCmath.PRcs.AImath.DScs.DS
On Valency
published · living versionsW_r98kgkse·v1 · currentpublished
Learning developmental dynamics from lineage context
with Gokul Gowri, Nic Fishman, William N. Colgan, Minming Wang +8
1 version
Preprints & journals
92 papers in the corpus · 2005–2026Sharp Convergence of Wasserstein Gradient Flows for Spectrally Nonnegative Interaction Energies2609.27008v1 · Zhengjiang Lin, Philippe Rigollet2026 · 0 citationsarXiv
Quantitative Diffusive Limits for Singular Nonlocal Transport2609.11837v1 · Andrea Agazzi, Giuseppe Bruno, Federico Pasqualotto et al.2026 · 0 citationsarXiv
Measure-to-measure Regression with Transformers2605.28075v1 · Matthew Vandergrift, Martha White, Yury Polyanskiy et al.2026 · 0 citationsarXiv
Scaling Limits of Long-Context Transformers2605.08505v1 · Giuseppe Bruno, Shi Chen, Zhengjiang Lin et al.2026 · 0 citationsarXiv
Homogenized Transformers2604.01978v1 · Hugo Koubbi, Borjan Geshkovski, Philippe Rigollet2026 · 0 citationsarXiv
YuriiFormer: A Suite of Nesterov-Accelerated Transformers2601.23236v2 · Aleksandr Zimin, Yury Polyanskiy, Philippe Rigollet2026 · 0 citationsarXiv
The Mean-Field Dynamics of Transformers2512.01868v4 · Philippe Rigollet2025 · 0 citationsarXiv
Splat Regression Models2511.14042v1 · Mara Daniels, Philippe Rigollet2025 · 0 citationsarXiv
Normalization in Attention Dynamics2510.22026v2 · Nikita Karagodin, Shu Ge, Yury Polyanskiy et al.2025 · 0 citationsarXiv
Critical attention scaling in long-context transformers2510.05554v2 · Shi Chen, Zhengjiang Lin, Yury Polyanskiy et al.2025 · 0 citationsProceedings of the Fourteenth International Conference on Learning Representations (ICLR 2026), 2026
Gaussian mixture layers for neural networks2508.04883v1 · Sinho Chewi, Philippe Rigollet, Yuling Yan2025 · 0 citationsarXiv
Synchronization of mean-field models on the circle2507.22857v1 · Yury Polyanskiy, Philippe Rigollet, Andrew Yao2025 · 0 citationsarXiv
The power of fine-grained experts: Granularity boosts expressivity in Mixture of Experts2505.06839v1 · Enric Boix-Adsera, Philippe Rigollet2025 · 0 citationsarXiv
Quantitative Clustering in Mean-Field Transformer Models2504.14697v3 · Shi Chen, Zhengjiang Lin, Yury Polyanskiy et al.2025 · 0 citationsarXiv
Residual connections provably mitigate oversmoothing in graph neural networks2501.00762v2 · Ziang Chen, Zhengjiang Lin, Shi Chen et al.2025 · 1 citationarXiv
On the number of modes of Gaussian kernel density estimators2412.09080v3 · Borjan Geshkovski, Philippe Rigollet, Yihang Sun2024 · 0 citationsarXiv
Measure-to-measure interpolation using Transformers2411.04551v3 · Borjan Geshkovski, Philippe Rigollet, Domenec Ruiz-Balet2024 · 2 citationsFoundations of Computational Mathematics (2026)
Clustering in Causal Attention Masking2411.04990v2 · Nikita Karagodin, Yury Polyanskiy, Philippe Rigollet2024 · 5 citationsarXiv
Dynamic metastability in the self-attention model2410.06833v1 · Borjan Geshkovski, Hugo Koubbi, Yury Polyanskiy et al.2024 · 2 citationsarXiv
Statistical optimal transport2407.18163v2 · Sinho Chewi, Jonathan Niles-Weed, Philippe Rigollet2024 · 0 citationsarXiv
Optimal transport for automatic alignment of untargeted metabolomic data.38896449 · Breeur, Marie, Stepaniants, George, Keski-Rahkonen, Pekka et al.2024 · 1 citationeLife. 2024;12
A mathematical perspective on Transformers2312.10794v5 · Borjan Geshkovski, Cyril Letrouit, Yury Polyanskiy et al.2023 · 21 citationsBull. Amer. Math. Soc. 62 (2025), 427-479
Covariance alignment: from maximum likelihood estimation to Gromov-Wasserstein2311.13595v1 · Yanjun Han, Philippe Rigollet, George Stepaniants2023 · 1 citationarXiv
High-Dimensional Statistics2310.19244v1 · Philippe Rigollet, Jan-Christian Hutter2023 · 3 citationsarXiv
The emergence of clusters in self-attention dynamics2305.05465v6 · Borjan Geshkovski, Cyril Letrouit, Yury Polyanskiy et al.2023 · 16 citationsAdvances in Neural Information Processing Systems 36 (2023), 57026-57037
On the Approximation Accuracy of Gaussian Variational Inference2301.02168v2 · Anya Katsevich, Philippe Rigollet2023 · 12 citationsarXiv
Learning Gaussian Mixtures Using the Wasserstein-Fisher-Rao Gradient Flow2301.01766v1 · Yuling Yan, Kaizheng Wang, Philippe Rigollet2023 · 11 citationsarXiv
Bures-Wasserstein Barycenters and Low-Rank Matrix Recovery2210.14671v1 · Tyler Maunu, Thibaut Le Gouic, Philippe Rigollet2022 · 1 citationarXiv
GULP: a prediction-based metric between representations2210.06545v1 · Enric Boix-Adsera, Hannah Lawrence, George Stepaniants et al.2022 · 3 citationsarXiv
On the sample complexity of entropic optimal transport2206.13472v1 · Philippe Rigollet, Austin J. Stromme2022 · 11 citationsarXiv
Variational inference via Wasserstein gradient flows2205.15902v3 · Marc Lambert, Sinho Chewi, Francis Bach et al.2022 · 19 citationsarXiv
An algorithmic solution to the Blotto game using multi-marginal couplings2202.07318v2 · Vianney Perchet, Philippe Rigollet, Thibaut Le Gouic2022 · 4 citationsarXiv
Gaussian discrepancy: a probabilistic relaxation of vector balancing2109.08280v2 · Sinho Chewi, Patrik Gerber, Philippe Rigollet et al.2021 · 0 citationsarXiv
An Optimal Transport Approach to Estimating Causal Effects via Nonlinear Difference-in-Differences2108.05858v2 · William Torous, Florian Gunsilius, Philippe Rigollet2021 · 9 citationsarXiv
Sparse Multi-Reference Alignment : Phase Retrieval, Uniform Uncertainty Principles and the Beltway Problem2106.12996v3 · Subhro Ghosh, Philippe Rigollet2021 · 12 citationsarXiv
The query complexity of sampling from strongly log-concave distributions in one dimension2105.14163v2 · Sinho Chewi, Patrik Gerber, Chen Lu et al.2021 · 2 citationsarXiv
Rejection sampling from shape-constrained distributions in sublinear time2105.14166v1 · Sinho Chewi, Patrik Gerber, Chen Lu et al.2021 · 1 citationarXiv
Optimal dimension dependence of the Metropolis-Adjusted Langevin Algorithm2012.12810v1 · Sinho Chewi, Chen Lu, Kwangjun Ahn et al.2020 · 13 citationsarXiv
A Statistical Perspective on Coreset Density Estimation2011.04907v2 · Paxton Turner, Jingbo Liu, Philippe Rigollet2020 · 7 citationsarXiv
Efficient Interpolation of Density Estimators2011.04922v1 · Paxton Turner, Jingbo Liu, Philippe Rigollet2020 · 2 citationsarXiv
Fast and Smooth Interpolation on Wasserstein Space2010.12101v1 · Sinho Chewi, Julien Clancy, Thibaut Le Gouic et al.2020 · 9 citationsarXiv
Optimal Rates for Estimation of Two-Dimensional Totally Positive Distributions2006.07727v1 · Jan-Christian Hutter, Cheng Mao, Philippe Rigollet et al.2020 · 4 citationsarXiv
SVGD as a kernelized Wasserstein gradient flow of the chi-squared divergence2006.02509v1 · Sinho Chewi, Thibaut Le Gouic, Chen Lu et al.2020 · 10 citationsarXiv
Gaussian determinantal processes: A new model for directionality in data.32482857 · Ghosh, Subhroshekhar, Rigollet, Philippe2020 · 8 citationsProceedings of the National Academy of Sciences of the United States of America. 2020;117(24):13207-13213
Projection to Fairness in Statistical Learning2005.11720v4 · Thibaut Le Gouic, Jean-Michel Loubes, Philippe Rigollet2020 · 19 citationsarXiv
Exponential ergodicity of mirror-Langevin diffusions2005.09669v2 · Sinho Chewi, Thibaut Le Gouic, Chen Lu et al.2020 · 17 citationsarXiv
Gradient descent algorithms for Bures-Wasserstein barycenters2001.01700v2 · Sinho Chewi, Tyler Maunu, Philippe Rigollet et al.2020 · 38 citationsarXiv
Balancing Gaussian vectors in high dimension1910.13972v2 · Paxton Turner, Raghu Meka, Philippe Rigollet2019 · 11 citationsCOLT 2020
Power analysis of knockoff filters for correlated designs1910.12428v3 · Jingbo Liu, Philippe Rigollet2019 · 12 citationsarXiv
Estimation of Wasserstein distances in the Spiked Transport Model1909.07513v1 · Jonathan Niles-Weed, Philippe Rigollet2019 · 73 citationsarXiv
Career total: 153 works. 92 are in this corpus.Showing the 50 most recent.
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