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Poster
Wed 7:30 Efficiently Computing Nash Equilibria in Adversarial Team Markov Games
Fivos Kalogiannis · Ioannis Anagnostides · Ioannis Panageas · Emmanouil-Vasileios Vlatakis-Gkaragkounis · Vaggos Chatziafratis · Stelios Stavroulakis
Poster
Wed 7:30 Towards convergence to Nash equilibria in two-team zero-sum games
Fivos Kalogiannis · Ioannis Panageas · Emmanouil-Vasileios Vlatakis-Gkaragkounis
Oral
Wed 6:10 Efficiently Computing Nash Equilibria in Adversarial Team Markov Games
Fivos Kalogiannis · Ioannis Anagnostides · Ioannis Panageas · Emmanouil-Vasileios Vlatakis-Gkaragkounis · Vaggos Chatziafratis · Stelios Stavroulakis
Poster
Graph Domain Adaptation via Theory-Grounded Spectral Regularization
Yuning You · Tianlong Chen · Zhangyang Wang · Yang Shen
Poster
Wed 2:30 Bispectral Neural Networks
Sophia Sanborn · Christian Shewmake · Bruno Olshausen · Christopher Hillar
Workshop
Do Models see Corruption as we see? An Item Response Theory based study in Computer Vision
Charchit Sharma · Ayan Pahari · Pranoy Panda · V C Sairam Rebbapragada · Deepak Vijaykeerthy · Vineeth N Balasubramanian
Workshop
Thu 5:30 Neural Networks Learn Representation Theory: Reverse Engineering how Networks Perform Group Operations
Bilal Chughtai
Poster
Wed 2:30 Understanding The Robustness of Self-supervised Learning Through Topic Modeling
Zeping Luo · Shiyou Wu · Cindy Weng · Mo Zhou · Rong Ge
Workshop
Thu 8:00 Scaling laws for deep neural networks: driving theory and understanding through experimental insights
Yasaman Bahri
Poster
Mon 2:30 D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory
Tianbo Li · Min Lin · Zheyuan Hu · Kunhao Zheng · Giovanni Vignale · Kenji Kawaguchi · A. Castro Neto · Kostya Novoselov · shuicheng YAN
Oral
Mon 1:30 D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory
Tianbo Li · Min Lin · Zheyuan Hu · Kunhao Zheng · Giovanni Vignale · Kenji Kawaguchi · A. Castro Neto · Kostya Novoselov · shuicheng YAN
Poster
Risk-Aware Reinforcement Learning with Coherent Risk Measures and Non-linear Function Approximation
Thanh Steve Lam · Arun Verma · Bryan Kian Hsiang Low · Patrick Jaillet