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Joan Bruna

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Computational-Statistical Gaps in Gaussian Single-Index Models

Mar 12, 2024
Alex Damian, Loucas Pillaud-Vivien, Jason D. Lee, Joan Bruna

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The Computational Complexity of Learning Gaussian Single-Index Models

Mar 08, 2024
Alex Damian, Loucas Pillaud-Vivien, Jason D. Lee, Joan Bruna

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Stochastic Optimal Control Matching

Dec 04, 2023
Carles Domingo-Enrich, Jiequn Han, Brandon Amos, Joan Bruna, Ricky T. Q. Chen

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On Learning Gaussian Multi-index Models with Gradient Flow

Nov 02, 2023
Alberto Bietti, Joan Bruna, Loucas Pillaud-Vivien

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Symmetric Single Index Learning

Oct 03, 2023
Aaron Zweig, Joan Bruna

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On Single Index Models beyond Gaussian Data

Jul 28, 2023
Joan Bruna, Loucas Pillaud-Vivien, Aaron Zweig

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A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks

Jul 04, 2023
Vignesh Kothapalli, Tom Tirer, Joan Bruna

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Conditionally Strongly Log-Concave Generative Models

May 31, 2023
Florentin Guth, Etienne Lempereur, Joan Bruna, Stéphane Mallat

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Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation

May 26, 2023
David Brandfonbrener, Ofir Nachum, Joan Bruna

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Data-driven multiscale modeling of subgrid parameterizations in climate models

Mar 24, 2023
Karl Otness, Laure Zanna, Joan Bruna

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