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Invited Talk 3
Joan Bruna
Author Information
Joan Bruna (NYU)
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2021 : An Extensible Benchmark Suite for Learning to Simulate Physical Systems »
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2021 Spotlight: Offline RL Without Off-Policy Evaluation »
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2021 : Quantile Filtered Imitation Learning »
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2022 Poster: Exponential Separations in Symmetric Neural Networks »
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2022 Poster: When does return-conditioned supervised learning work for offline reinforcement learning? »
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2022 Poster: On Non-Linear operators for Geometric Deep Learning »
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2022 Poster: Learning single-index models with shallow neural networks »
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2021 Poster: On the Sample Complexity of Learning under Geometric Stability »
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2021 Poster: On the Cryptographic Hardness of Learning Single Periodic Neurons »
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2021 Poster: Offline RL Without Off-Policy Evaluation »
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2020 Poster: A mean-field analysis of two-player zero-sum games »
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2020 Poster: Can Graph Neural Networks Count Substructures? »
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2020 Session: Orals & Spotlights Track 26: Graph/Relational/Theory »
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2020 Poster: IDEAL: Inexact DEcentralized Accelerated Augmented Lagrangian Method »
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2020 Spotlight: IDEAL: Inexact DEcentralized Accelerated Augmented Lagrangian Method »
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2020 Poster: A Dynamical Central Limit Theorem for Shallow Neural Networks »
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2019 : Poster and Coffee Break 1 »
Aaron Sidford · Aditya Mahajan · Alejandro Ribeiro · Alex Lewandowski · Ali H Sayed · Ambuj Tewari · Angelika Steger · Anima Anandkumar · Asier Mujika · Hilbert J Kappen · Bolei Zhou · Byron Boots · Chelsea Finn · Chen-Yu Wei · Chi Jin · Ching-An Cheng · Christina Yu · Clement Gehring · Craig Boutilier · Dahua Lin · Daniel McNamee · Daniel Russo · David Brandfonbrener · Denny Zhou · Devesh Jha · Diego Romeres · Doina Precup · Dominik Thalmeier · Eduard Gorbunov · Elad Hazan · Elena Smirnova · Elvis Dohmatob · Emma Brunskill · Enrique Munoz de Cote · Ethan Waldie · Florian Meier · Florian Schaefer · Ge Liu · Gergely Neu · Haim Kaplan · Hao Sun · Hengshuai Yao · Jalaj Bhandari · James A Preiss · Jayakumar Subramanian · Jiajin Li · Jieping Ye · Jimmy Smith · Joan Bas Serrano · Joan Bruna · John Langford · Jonathan Lee · Jose A. Arjona-Medina · Kaiqing Zhang · Karan Singh · Yuping Luo · Zafarali Ahmed · Zaiwei Chen · Zhaoran Wang · Zhizhong Li · Zhuoran Yang · Ziping Xu · Ziyang Tang · Yi Mao · David Brandfonbrener · Shirli Di-Castro · Riashat Islam · Zuyue Fu · Abhishek Naik · Saurabh Kumar · Benjamin Petit · Angeliki Kamoutsi · Simone Totaro · Arvind Raghunathan · Rui Wu · Donghwan Lee · Dongsheng Ding · Alec Koppel · Hao Sun · Christian Tjandraatmadja · Mahdi Karami · Jincheng Mei · Chenjun Xiao · Junfeng Wen · Zichen Zhang · Ross Goroshin · Mohammad Pezeshki · Jiaqi Zhai · Philip Amortila · Shuo Huang · Mariya Vasileva · El houcine Bergou · Adel Ahmadyan · Haoran Sun · Sheng Zhang · Lukas Gruber · Yuanhao Wang · Tetiana Parshakova -
2019 : Surya Ganguli, Yasaman Bahri, Florent Krzakala moderated by Lenka Zdeborova »
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2019 : Poster Spotlight 1 »
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2019 : Opening Remarks »
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2019 Workshop: Solving inverse problems with deep networks: New architectures, theoretical foundations, and applications »
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2019 Poster: Gradient Dynamics of Shallow Univariate ReLU Networks »
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2019 Poster: On the Expressive Power of Deep Polynomial Neural Networks »
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2019 Poster: Finding the Needle in the Haystack with Convolutions: on the benefits of architectural bias »
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2019 Poster: On the equivalence between graph isomorphism testing and function approximation with GNNs »
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2019 Poster: Stability of Graph Scattering Transforms »
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2018 : Joan Bruna »
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2017 Tutorial: Geometric Deep Learning on Graphs and Manifolds »
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2014 Poster: Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation »
Emily Denton · Wojciech Zaremba · Joan Bruna · Yann LeCun · Rob Fergus