14 Results

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
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
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	Thu 9:00	Non-Gaussian Tensor Programs Eugene Golikov · Greg Yang
Poster	Wed 14:00	Self-Consistent Dynamical Field Theory of Kernel Evolution in Wide Neural Networks Blake Bordelon · Cengiz Pehlevan
Poster	Wed 9:00	Free Probability for predicting the performance of feed-forward fully connected neural networks Reda CHHAIBI · Tariq Daouda · Ezechiel Kahn
Workshop		Dynamical Mean Field Theory of Kernel Evolution in Wide Neural Networks Blake Bordelon · Cengiz Pehlevan
Poster	Tue 14:00	Infinite Recommendation Networks: A Data-Centric Approach Noveen Sachdeva · Mehak Dhaliwal · Carole-Jean Wu · Julian Mcauley
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
Poster	Wed 14:00	The Neural Covariance SDE: Shaped Infinite Depth-and-Width Networks at Initialization Mufan Li · Mihai Nica · Dan Roy
Poster	Wed 9:00	Two-layer neural network on infinite dimensional data: global optimization guarantee in the mean-field regime Naoki Nishikawa · Taiji Suzuki · Atsushi Nitanda · Denny Wu
Poster	Thu 9:00	Redundant representations help generalization in wide neural networks Diego Doimo · Aldo Glielmo · Sebastian Goldt · Alessandro Laio