Machine Learning · Computer Science
The Curious Case of Convex Neural Networks
Sarath Sivaprasad, Ankur Singh, Naresh Manwani, Vineet Gandhi
2021-07-13
Machine Learning · Computer Science
On Measuring Excess Capacity in Neural Networks
Florian Graf, Sebastian Zeng, Bastian Rieck, Marc Niethammer +1
2023-01-20
Machine Learning · Computer Science
Formalizing Generalization and Robustness of Neural Networks to Weight Perturbations
Yu-Lin Tsai, Chia-Yi Hsu, Chia-Mu Yu, Pin-Yu Chen
2021-12-20
Machine Learning · Computer Science
Learning Neural Networks with Adaptive Regularization
Han Zhao, Yao-Hung Hubert Tsai, Ruslan Salakhutdinov, Geoffrey J. Gordon
2019-10-24
Machine Learning · Computer Science
Numerical Approximation Capacity of Neural Networks with Bounded Parameters: Do Limits Exist, and How Can They Be Measured?
Li Liu, Tengchao Yu, Heng Yong
2024-09-26
Systems and Control · Electrical Eng. & Systems
On Recurrent Neural Networks for learning-based control: recent results and ideas for future developments
Fabio Bonassi, Marcello Farina, Jing Xie, Riccardo Scattolini
2022-05-11
Disordered Systems and Neural Networks · Physics
Pinning-controllability of complex networks
Francesco Sorrentino, Mario di Bernardo, Franco Garofalo, Guanrong Chen
2007-05-23
Machine Learning · Computer Science
Band-limited Training and Inference for Convolutional Neural Networks
Adam Dziedzic, John Paparrizos, Sanjay Krishnan, Aaron Elmore +1
2019-11-22
Computer Vision and Pattern Recognition · Computer Science
Constrained Structured Regression with Convolutional Neural Networks
Deepak Pathak, Philipp Krähenbühl, Stella X. Yu, Trevor Darrell
2015-11-25
Information Theory · Computer Science
Capacity of Non-Separable Networks with Restricted Adversaries
Christopher Hojny, Altan B. Kılıç, Sascha Kurz, Alberto Ravagnani
2026-03-10
Machine Learning · Statistics
The $\varphi$ Curve: The Shape of Generalization through the Lens of Norm-based Capacity Control
Yichen Wang, Yudong Chen, Lorenzo Rosasco, Fanghui Liu
2025-10-22