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Session
Orals & Spotlights Track 26: Graph/Relational/Theory
Joan Bruna · Cassio de Campos
Thu Dec 10 06:00 AM -- 09:00 AM (PST) @ None
Author Information
Joan Bruna (NYU)
Cassio de Campos (Eindhoven University of Technology)
More from the Same Authors
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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 Workshop: Solving inverse problems with deep networks: New architectures, theoretical foundations, and applications »
Reinhard Heckel · Paul Hand · Richard Baraniuk · Joan Bruna · Alexandros 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 -
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