AB-Training: A Communication-Efficient Approach for Distributed Low-Rank Learningby Daniel Coquelin, Katherina Flügel, Marie Weiel, Nicholas…
Lipschitz constant estimation for general neural network architectures using control toolsby Patricia Pauli, Dennis Gramlich,…
On Oversquashing in Graph Neural Networks Through the Lens of Dynamical Systemsby Alessio Gravina, Moshe…
Markov flow policy – deep MCby Nitsan Soffair, Gilad KatzFirst submitted to arxiv on: 1…
Machine Learning Techniques for Data Reduction of Climate Applicationsby Xiao Li, Qian Gong, Jaemoon Lee,…
Weight Sparsity Complements Activity Sparsity in Neuromorphic Language Modelsby Rishav Mukherji, Mark Schöne, Khaleelulla Khan…
ULLER: A Unified Language for Learning and Reasoningby Emile van Krieken, Samy Badreddine, Robin Manhaeve,…
Block-As-Domain Adaptation for Workload Prediction from fNIRS Databy Jiyang Wang, Ayse Altay, Senem VelipasalarFirst submitted…
GMC-PINNs: A new general Monte Carlo PINNs method for solving fractional partial differential equations on…
KAN: Kolmogorov-Arnold Networksby Ziming Liu, Yixuan Wang, Sachin Vaidya, Fabian Ruehle, James Halverson, Marin Soljačić,…