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Depth separation beyond radial functions

Feb 03, 2021
Luca Venturi, Samy Jelassi, Tristan Ozuch, Joan Bruna


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Self-Supervised Equivariant Scene Synthesis from Video

Feb 01, 2021
Cinjon Resnick, Or Litany, Cosmas Heiß, Hugo Larochelle, Joan Bruna, Kyunghyun Cho

* arXiv admin note: text overlap with arXiv:2011.05787 

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Learned Equivariant Rendering without Transformation Supervision

Nov 11, 2020
Cinjon Resnick, Or Litany, Hugo Larochelle, Joan Bruna, Kyunghyun Cho

* Workshop on Differentiable Vision, Graphics, and Physics in Machine Learning at NeurIPS 2020 

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On Graph Neural Networks versus Graph-Augmented MLPs

Oct 28, 2020
Lei Chen, Zhengdao Chen, Joan Bruna


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Kernel-Based Smoothness Analysis of Residual Networks

Sep 21, 2020
Tom Tirer, Joan Bruna, Raja Giryes


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A Dynamical Central Limit Theorem for Shallow Neural Networks

Aug 21, 2020
Zhengdao Chen, Grant M. Rotskoff, Joan Bruna, Eric Vanden-Eijnden


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A Functional Perspective on Learning Symmetric Functions with Neural Networks

Aug 16, 2020
Aaron Zweig, Joan Bruna


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Depth separation for reduced deep networks in nonlinear model reduction: Distilling shock waves in nonlinear hyperbolic problems

Jul 28, 2020
Donsub Rim, Luca Venturi, Joan Bruna, Benjamin Peherstorfer


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In-Distribution Interpretability for Challenging Modalities

Jul 07, 2020
Cosmas Heiß, Ron Levie, Cinjon Resnick, Gitta Kutyniok, Joan Bruna


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Overfitting and Optimization in Offline Policy Learning

Jun 27, 2020
David Brandfonbrener, William F. Whitney, Rajesh Ranganath, Joan Bruna


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Neural Splines: Fitting 3D Surfaces with Infinitely-Wide Neural Networks

Jun 24, 2020
Francis Williams, Matthew Trager, Joan Bruna, Denis Zorin


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On Sparsity in Overparametrised Shallow ReLU Networks

Jun 18, 2020
Jaume de Dios, Joan Bruna

* submitted to Neurips'20 

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IDEAL: Inexact DEcentralized Accelerated Augmented Lagrangian Method

Jun 11, 2020
Yossi Arjevani, Joan Bruna, Bugra Can, Mert Gürbüzbalaban, Stefanie Jegelka, Hongzhou Lin


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Continuous LWE

May 19, 2020
Joan Bruna, Oded Regev, Min Jae Song, Yi Tang

* 28 pages 

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A Permutation-Equivariant Neural Network Architecture For Auction Design

Mar 02, 2020
Jad Rahme, Samy Jelassi, Joan Bruna, S. Matthew Weinberg


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Provably Efficient Third-Person Imitation from Offline Observation

Feb 27, 2020
Aaron Zweig, Joan Bruna


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Can graph neural networks count substructures?

Feb 27, 2020
Zhengdao Chen, Lei Chen, Soledad Villar, Joan Bruna


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A mean-field analysis of two-player zero-sum games

Feb 24, 2020
Carles Domingo-Enrich, Samy Jelassi, Arthur Mensch, Grant Rotskoff, Joan Bruna


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Probing the State of the Art: A Critical Look at Visual Representation Evaluation

Nov 30, 2019
Cinjon Resnick, Zeping Zhan, Joan Bruna


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Stability of Graph Neural Networks to Relative Perturbations

Oct 21, 2019
Fernando Gama, Joan Bruna, Alejandro Ribeiro

* Submitted to Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP) 2020 

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Pure and Spurious Critical Points: a Geometric Study of Linear Networks

Oct 03, 2019
Matthew Trager, Kathlén Kohn, Joan Bruna


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Gradient Dynamics of Shallow Univariate ReLU Networks

Jun 18, 2019
Francis Williams, Matthew Trager, Claudio Silva, Daniele Panozzo, Denis Zorin, Joan Bruna


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Finding the Needle in the Haystack with Convolutions: on the benefits of architectural bias

Jun 16, 2019
Stéphane d'Ascoli, Levent Sagun, Joan Bruna, Giulio Biroli


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Stability of Graph Scattering Transforms

Jun 11, 2019
Fernando Gama, Joan Bruna, Alejandro Ribeiro

* Submitted to Conference on Neural Information Processing Systems (NeurIPS 2019) 

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Extra-gradient with player sampling for provable fast convergence in n-player games

Jun 04, 2019
Carles Domingo Enrich, Samy Jelassi, Domingo Carles, Damien Scieur, Arthur Mensch, Joan Bruna


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On the equivalence between graph isomorphism testing and function approximation with GNNs

May 29, 2019
Zhengdao Chen, Soledad Villar, Lei Chen, Joan Bruna


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