Infusing Self-Consistency into Density Functional Theory Hamiltonian Prediction via Deep Equilibrium Modelsby Zun Wang, Chang…
The Missing Curve Detectors of InceptionV1: Applying Sparse Autoencoders to InceptionV1 Early Visionby Liv GortonFirst…
Grokking Modular Polynomialsby Darshil Doshi, Tianyu He, Aritra Das, Andrey GromovFirst submitted to arxiv on:…
Fuzzy Convolution Neural Networks for Tabular Data Classificationby Arun D. KulkarniFirst submitted to arxiv on:…
Physics and geometry informed neural operator network with application to acoustic scatteringby Siddharth Nair, Timothy…
Highway Value Iteration Networksby Yuhui Wang, Weida Li, Francesco Faccio, Qingyuan Wu, Jürgen SchmidhuberFirst submitted…
Near-field Beam training for Extremely Large-scale MIMO Based on Deep Learningby Jiali Nie, Yuanhao Cui,…
Reparameterization invariance in approximate Bayesian inferenceby Hrittik Roy, Marco Miani, Carl Henrik Ek, Philipp Hennig,…
Initialization-enhanced Physics-Informed Neural Network with Domain Decomposition (IDPINN)by Chenhao Si, Ming YanFirst submitted to arxiv…
Nonlinear Transformations Against Unlearnable Datasetsby Thushari Hapuarachchi, Jing Lin, Kaiqi Xiong, Mohamed Rahouti, Gitte OstFirst…