A Statistical Analysis of Deep Federated Learning for Intrinsically Low-dimensional Databy Saptarshi Chakraborty, Peter L.…
Deep Learning-Driven Microstructure Characterization and Vickers Hardness Prediction of Mg-Gd Alloysby Lu Wang, Hongchan Chen,…
PaPaGei: Open Foundation Models for Optical Physiological Signalsby Arvind Pillai, Dimitris Spathis, Fahim Kawsar, Mohammad…
ProtSCAPE: Mapping the landscape of protein conformations in molecular dynamicsby Siddharth Viswanath, Dhananjay Bhaskar, David…
Embedded Nonlocal Operator Regression (ENOR): Quantifying model error in learning nonlocal operatorsby Yiming Fan, Habib…
Evaluation of uncertainty estimations for Gaussian process regression based machine learning interatomic potentialsby Matthias Holzenkamp,…
Overcoming the Sim-to-Real Gap: Leveraging Simulation to Learn to Explore for Real-World RLby Andrew Wagenmaker,…
On the Gaussian process limit of Bayesian Additive Regression Treesby Giacomo PetrilloFirst submitted to arxiv…
Residual Random Neural Networksby M. AndrecutFirst submitted to arxiv on: 25 Oct 2024CategoriesMain: Machine Learning…
Unsupervised Machine Learning for Detecting and Locating Human-Made Objects in 3D Point Cloudby Hong Zhao,…