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Poster
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Wed 9:00
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A time-resolved theory of information encoding in recurrent neural networks
Rainer Engelken · Sven Goedeke
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Workshop
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Mean-field analysis for heavy ball methods: Dropout-stability, connectivity, and global convergence
Diyuan Wu · Vyacheslav Kungurtsev · Marco Mondelli
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Poster
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Tue 14:00
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Mesoscopic modeling of hidden spiking neurons
Shuqi Wang · Valentin Schmutz · Guillaume Bellec · Wulfram Gerstner
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Poster
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Thu 9:00
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Learning NP-Hard Multi-Agent Assignment Planning using GNN: Inference on a Random Graph and Provable Auction-Fitted Q-learning
HYUNWOOK KANG · Taehwan Kwon · Jinkyoo Park · James R. Morrison
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Poster
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Tue 9:00
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Deep Generalized Schrödinger Bridge
Guan-Horng Liu · Tianrong Chen · Oswin So · Evangelos Theodorou
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Poster
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Wed 9:00
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Two-layer neural network on infinite dimensional data: global optimization guarantee in the mean-field regime
Naoki Nishikawa · Taiji Suzuki · Atsushi Nitanda · Denny Wu
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Poster
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Trajectory Inference via Mean-field Langevin in Path Space
Lénaïc Chizat · Stephen Zhang · Matthieu Heitz · Geoffrey Schiebinger
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Poster
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Thu 9:00
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A Mean-Field Game Approach to Cloud Resource Management with Function Approximation
Weichao Mao · Haoran Qiu · Chen Wang · Hubertus Franke · Zbigniew Kalbarczyk · Ravishankar Iyer · Tamer Basar
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Workshop
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Dynamical Mean Field Theory of Kernel Evolution in Wide Neural Networks
Blake Bordelon · Cengiz Pehlevan
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Poster
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Thu 9:00
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On the Approximation of Cooperative Heterogeneous Multi-Agent Reinforcement Learning (MARL) using Mean Field Control (MFC)
Washim Mondal · Mridul Agarwal · Vaneet Aggarwal · Satish Ukkusuri
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Poster
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Thu 9:00
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Statistically Meaningful Approximation: a Case Study on Approximating Turing Machines with Transformers
Colin Wei · Yining Chen · Tengyu Ma
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Poster
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Thu 14:00
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Optimal Rates for Regularized Conditional Mean Embedding Learning
Zhu Li · Dimitri Meunier · Mattes Mollenhauer · Arthur Gretton
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