Summary of Approximation and Gradient Descent Training with Neural Networks, by G. Welper
Approximation and Gradient Descent Training with Neural Networksby G. WelperFirst submitted to arxiv on: 19…
Approximation and Gradient Descent Training with Neural Networksby G. WelperFirst submitted to arxiv on: 19…
QComp: A QSAR-Based Data Completion Framework for Drug Discoveryby Bingjia Yang, Yunsie Chung, Archer Y.…
Efficiency optimization of large-scale language models based on deep learning in natural language processing tasksby…
Learning More Generalized Experts by Merging Experts in Mixture-of-Expertsby Sejik ParkFirst submitted to arxiv on:…
Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchorsby Chun-Yin Huang, Kartik…
Hierarchical Selective Classificationby Shani Goren, Ido Galil, Ran El-YanivFirst submitted to arxiv on: 19 May…
From Fourier to Neural ODEs: Flow Matching for Modeling Complex Systemsby Xin Li, Jingdong Zhang,…
Certified Robust Accuracy of Neural Networks Are Bounded due to Bayes Errorsby Ruihan Zhang, Jun…
Adaptive Online Experimental Design for Causal Discoveryby Muhammad Qasim Elahi, Lai Wei, Murat Kocaoglu, Mahsa…
Uncertainty-Aware PPG-2-ECG for Enhanced Cardiovascular Diagnosis using Diffusion Modelsby Omer Belhasin, Idan Kligvasser, George Leifman,…