Learning from Linear Algebra: A Graph Neural Network Approach to Preconditioner Design for Conjugate Gradient…
Transfer Learning with Informative Priors: Simple Baselines Better than Previously Reportedby Ethan Harvey, Mikhail Petrov,…
E(n) Equivariant Topological Neural Networksby Claudio Battiloro, Ege Karaismailoğlu, Mauricio Tec, George Dasoulas, Michelle Audirac,…
HyperInterval: Hypernetwork approach to training weight interval regions in continual learningby Patryk Krukowski, Anna Bielawska,…
Cardinality Estimation on Hyper-relational Knowledge Graphsby Fei Teng, Haoyang Li, Shimin Di, Lei ChenFirst submitted…
Novel Kernel Models and Exact Representor Theory for Neural Networks Beyond the Over-Parameterized Regimeby Alistair…
Amortized nonmyopic active search via deep imitation learningby Quan Nguyen, Anindya Sarkar, Roman GarnettFirst submitted…
Fast Bayesian Inference for Neutrino Non-Standard Interactions at Dark Matter Direct Detection Experimentsby Dorian W.…
Understanding the dynamics of the frequency bias in neural networksby Juan Molina, Mircea Petrache, Francisco…
A rescaling-invariant Lipschitz bound based on path-metrics for modern ReLU network parameterizationsby Antoine Gonon, Nicolas…