Summary of Neural Networks Generalize on Low Complexity Data, by Sourav Chatterjee et al.
Neural Networks Generalize on Low Complexity Databy Sourav Chatterjee, Timothy SudijonoFirst submitted to arxiv on:…
Neural Networks Generalize on Low Complexity Databy Sourav Chatterjee, Timothy SudijonoFirst submitted to arxiv on:…
ConvexECG: Lightweight and Explainable Neural Networks for Personalized, Continuous Cardiac Monitoringby Rayan Ansari, John Cao,…
Optimal Classification-based Anomaly Detection with Neural Networks: Theory and Practiceby Tian-Yi Zhou, Matthew Lau, Jizhou…
Manifold Learning via Foliations and Knowledge Transferby E. Tron, E. FioresiFirst submitted to arxiv on:…
Approximation Bounds for Recurrent Neural Networks with Application to Regressionby Yuling Jiao, Yang Wang, Bokai…
Learning with Shared Representations: Statistical Rates and Efficient Algorithmsby Xiaochun Niu, Lili Su, Jiaming Xu,…
Beyond Unconstrained Features: Neural Collapse for Shallow Neural Networks with General Databy Wanli Hong, Shuyang…
On the optimal approximation of Sobolev and Besov functions using deep ReLU neural networksby Yunfei…
On Expressive Power of Quantized Neural Networks under Fixed-Point Arithmeticby Geonho Hwang, Yeachan Park, Sejun…
Artificial Neural Network and Deep Learning: Fundamentals and Theoryby M. M. HammadFirst submitted to arxiv…