Summary of Spectral Complexity Of Deep Neural Networks, by Simmaco Di Lillo et al.
Spectral complexity of deep neural networksby Simmaco Di Lillo, Domenico Marinucci, Michele Salvi, Stefano VigognaFirst…
Spectral complexity of deep neural networksby Simmaco Di Lillo, Domenico Marinucci, Michele Salvi, Stefano VigognaFirst…
Dynamic Activation Pitfalls in LLaMA Models: An Empirical Studyby Chi Ma, Mincong Huang, Chao Wang,…
Scalable Subsampling Inference for Deep Neural Networksby Kejin Wu, Dimitris N. PolitisFirst submitted to arxiv…
Stochastic Bandits with ReLU Neural Networksby Kan Xu, Hamsa Bastani, Surbhi Goel, Osbert BastaniFirst submitted…
Approximation Error and Complexity Bounds for ReLU Networks on Low-Regular Function Spacesby Owen Davis, Gianluca…
Generalization analysis with deep ReLU networks for metric and similarity learningby Junyu Zhou, Puyu Wang,…
A Significantly Better Class of Activation Functions Than ReLU Like Activation Functionsby Mathew Mithra Noel,…
Is ReLU Adversarially Robust?by Korn Sooksatra, Greg Hamerly, Pablo RivasFirst submitted to arxiv on: 6…
Learning with Norm Constrained, Over-parameterized, Two-layer Neural Networksby Fanghui Liu, Leello Dadi, Volkan CevherFirst submitted…
On the Rashomon ratio of infinite hypothesis setsby Evzenie Coupkova, Mireille BoutinFirst submitted to arxiv…