Workshop

An Empirical Analysis of the Advantages of Finite vs.~Infinite Width Bayesian Neural Networks
Jiayu Yao · Yaniv Yacoby · Beau Coker · Weiwei Pan · Finale Doshi-Velez

Workshop

An Empirical Analysis of the Advantages of Finite v.s. Infinite Width Bayesian Neural Networks
Jiayu Yao · Yaniv Yacoby · Beau Coker · Weiwei Pan · Finale Doshi-Velez

Poster

Wed 14:00

The Neural Covariance SDE: Shaped Infinite Depth-and-Width Networks at Initialization
Mufan Li · Mihai Nica · Dan Roy

Poster

Finite-Time Analysis of Adaptive Temporal Difference Learning with Deep Neural Networks
Tao Sun · Dongsheng Li · Bao Wang

Poster

Thu 9:00

On global convergence of ResNets: From finite to infinite width using linear parameterization
Raphaël Barboni · Gabriel Peyré · Francois-Xavier Vialard

Poster

Wed 9:00

Globally Gated Deep Linear Networks
Qianyi Li · Haim Sompolinsky

Poster

Wed 14:00

Self-Consistent Dynamical Field Theory of Kernel Evolution in Wide Neural Networks
Blake Bordelon · Cengiz Pehlevan

Poster

Wed 14:00

Neural Network Architecture Beyond Width and Depth
Shijun Zhang · Zuowei Shen · Haizhao Yang

Poster

Thu 9:00

Bidirectional Learning for Offline Infinite-width Model-based Optimization
Can Chen · Yingxueff Zhang · Jie Fu · Xue (Steve) Liu · Mark Coates

Poster

Tue 14:00

Mesoscopic modeling of hidden spiking neurons
Shuqi Wang · Valentin Schmutz · Guillaume Bellec · Wulfram Gerstner

Poster

Wed 9:00

Poster

Empirical Phase Diagram for Three-layer Neural Networks with Infinite Width
Hanxu Zhou · Zhou Qixuan · Zhenyuan Jin · Tao Luo · Yaoyu Zhang · Zhi-Qin Xu