Summary of Function-space Mcmc For Bayesian Wide Neural Networks, by Lucia Pezzetti et al.
Function-Space MCMC for Bayesian Wide Neural Networksby Lucia Pezzetti, Stefano Favaro, Stefano PeluchettiFirst submitted to…
Function-Space MCMC for Bayesian Wide Neural Networksby Lucia Pezzetti, Stefano Favaro, Stefano PeluchettiFirst submitted to…
Streamline tractography of the fetal brain in utero with machine learningby Weide Liu, Camilo Calixto,…
Learning Tree-Structured Composition of Data Augmentationby Dongyue Li, Kailai Chen, Predrag Radivojac, Hongyang R. ZhangFirst…
AlphaViT: A Flexible Game-Playing AI for Multiple Games and Variable Board Sizesby Kazuhisa FujitaFirst submitted…
STAResNet: a Network in Spacetime Algebra to solve Maxwell’s PDEsby Alberto Pepe, Sven Buchholz, Joan…
MPruner: Optimizing Neural Network Size with CKA-Based Mutual Information Pruningby Seungbeom Hu, ChanJun Park, Andrew…
Amortized Bayesian Multilevel Modelsby Daniel Habermann, Marvin Schmitt, Lars Kühmichel, Andreas Bulling, Stefan T. Radev,…
JacNet: Learning Functions with Structured Jacobiansby Jonathan Lorraine, Safwan HossainFirst submitted to arxiv on: 23…
Functional Tensor Decompositions for Physics-Informed Neural Networksby Sai Karthikeya Vemuri, Tim Büchner, Julia Niebling, Joachim…
Verification of Geometric Robustness of Neural Networks via Piecewise Linear Approximation and Lipschitz Optimisationby Ben…