Timezone: »
Session
Orals & Spotlights Track 26: Graph/Relational/Theory
Joan Bruna · Cassio de Campos
Thu Dec 10 06:00 AM -- 09:00 AM (PST) @
Author Information
Joan Bruna (NYU)
Cassio de Campos (Eindhoven University of Technology)
More from the Same Authors
-
2021 : An Extensible Benchmark Suite for Learning to Simulate Physical Systems »
Karl Otness · Arvi Gjoka · Joan Bruna · Daniele Panozzo · Benjamin Peherstorfer · Teseo Schneider · Denis Zorin -
2021 Spotlight: Offline RL Without Off-Policy Evaluation »
David Brandfonbrener · Will Whitney · Rajesh Ranganath · Joan Bruna -
2021 : Quantile Filtered Imitation Learning »
David Brandfonbrener · Will Whitney · Rajesh Ranganath · Joan Bruna -
2023 Poster: A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks »
Vignesh Kothapalli · Tom Tirer · Joan Bruna -
2023 Poster: Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation »
David Brandfonbrener · Ofir Nachum · Joan Bruna -
2023 Poster: On Single-Index Models beyond Gaussian Data »
Aaron Zweig · Loucas PILLAUD-VIVIEN · Joan Bruna -
2022 : Panel »
Guy Van den Broeck · Cassio de Campos · Denis Maua · Kristian Kersting · Rianne van den Berg -
2022 Poster: Exponential Separations in Symmetric Neural Networks »
Aaron Zweig · Joan Bruna -
2022 Poster: When does return-conditioned supervised learning work for offline reinforcement learning? »
David Brandfonbrener · Alberto Bietti · Jacob Buckman · Romain Laroche · Joan Bruna -
2022 Poster: On Non-Linear operators for Geometric Deep Learning »
Grégoire Sergeant-Perthuis · Jakob Maier · Joan Bruna · Edouard Oyallon -
2022 Poster: Learning single-index models with shallow neural networks »
Alberto Bietti · Joan Bruna · Clayton Sanford · Min Jae Song -
2021 Poster: On the Sample Complexity of Learning under Geometric Stability »
Alberto Bietti · Luca Venturi · Joan Bruna -
2021 Poster: On the Cryptographic Hardness of Learning Single Periodic Neurons »
Min Jae Song · Ilias Zadik · Joan Bruna -
2021 Poster: Offline RL Without Off-Policy Evaluation »
David Brandfonbrener · Will Whitney · Rajesh Ranganath · Joan Bruna -
2020 Poster: A mean-field analysis of two-player zero-sum games »
Carles Domingo-Enrich · Samy Jelassi · Arthur Mensch · Grant Rotskoff · Joan Bruna -
2020 Poster: Can Graph Neural Networks Count Substructures? »
Zhengdao Chen · Lei Chen · Soledad Villar · Joan Bruna -
2020 Poster: Joints in Random Forests »
Alvaro Correia · Robert Peharz · Cassio de Campos -
2020 Poster: IDEAL: Inexact DEcentralized Accelerated Augmented Lagrangian Method »
Yossi Arjevani · Joan Bruna · Bugra Can · Mert Gurbuzbalaban · Stefanie Jegelka · Hongzhou Lin -
2020 Spotlight: IDEAL: Inexact DEcentralized Accelerated Augmented Lagrangian Method »
Yossi Arjevani · Joan Bruna · Bugra Can · Mert Gurbuzbalaban · Stefanie Jegelka · Hongzhou Lin -
2020 Poster: A Dynamical Central Limit Theorem for Shallow Neural Networks »
Zhengdao Chen · Grant Rotskoff · Joan Bruna · Eric Vanden-Eijnden -
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 »
Florent Krzakala · Yasaman Bahri · Surya Ganguli · Lenka Zdeborová · Adji Bousso Dieng · Joan Bruna -
2019 : Poster Spotlight 1 »
David Brandfonbrener · Joan Bruna · Tom Zahavy · Haim Kaplan · Yishay Mansour · Nikos Karampatziakis · John Langford · Paul Mineiro · Donghwan Lee · Niao He -
2019 : Opening Remarks »
Reinhard Heckel · Paul Hand · Alex Dimakis · Joan Bruna · Deanna Needell · Richard Baraniuk -
2019 Workshop: Solving inverse problems with deep networks: New architectures, theoretical foundations, and applications »
Reinhard Heckel · Paul Hand · Richard Baraniuk · Joan Bruna · Alex Dimakis · Deanna Needell -
2019 Poster: Gradient Dynamics of Shallow Univariate ReLU Networks »
Francis Williams · Matthew Trager · Daniele Panozzo · Claudio Silva · Denis Zorin · Joan Bruna -
2019 Poster: On the Expressive Power of Deep Polynomial Neural Networks »
Joe Kileel · Matthew Trager · Joan Bruna -
2019 Poster: Finding the Needle in the Haystack with Convolutions: on the benefits of architectural bias »
Stéphane d'Ascoli · Levent Sagun · Giulio Biroli · Joan Bruna -
2019 Poster: On the equivalence between graph isomorphism testing and function approximation with GNNs »
Zhengdao Chen · Soledad Villar · Lei Chen · Joan Bruna -
2019 Poster: Stability of Graph Scattering Transforms »
Fernando Gama · Alejandro Ribeiro · Joan Bruna -
2018 : Invited Talk 3 »
Joan Bruna -
2018 : Joan Bruna »
Joan Bruna -
2017 Tutorial: Geometric Deep Learning on Graphs and Manifolds »
Michael Bronstein · Joan Bruna · arthur szlam · Xavier Bresson · Yann LeCun -
2016 Poster: Learning Treewidth-Bounded Bayesian Networks with Thousands of Variables »
Mauro Scanagatta · Giorgio Corani · Cassio de Campos · Marco Zaffalon -
2015 Poster: Learning Bayesian Networks with Thousands of Variables »
Mauro Scanagatta · Cassio de Campos · Giorgio Corani · Marco Zaffalon -
2014 Poster: Advances in Learning Bayesian Networks of Bounded Treewidth »
Siqi Nie · Denis Maua · Cassio P de Campos · Qiang Ji -
2014 Poster: Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation »
Emily Denton · Wojciech Zaremba · Joan Bruna · Yann LeCun · Rob Fergus -
2014 Spotlight: Advances in Learning Bayesian Networks of Bounded Treewidth »
Siqi Nie · Denis Maua · Cassio P de Campos · Qiang Ji -
2014 Poster: Global Sensitivity Analysis for MAP Inference in Graphical Models »
Jasper De Bock · Cassio P de Campos · Alessandro Antonucci -
2011 Poster: Solving Decision Problems with Limited Information »
Denis Maua · Cassio P de Campos -
2011 Spotlight: Solving Decision Problems with Limited Information »
Denis Maua · Cassio P de Campos