AI

Do AI Models Perform Human-like Abstract Reasoning Across Modalities?
Claas Beger, Ryan Yi, Shuhao Fu, Kaleda Denton, Arseny Moskvichev, Sarah W Tsai, Sivasankaran Rajamanickam, Melanie Mitchell
Materials Learning Algorithms (MALA): Scalable machine learning for electronic structure calculations in large-scale atomistic simulations
Attila Cangi, Lenz Fiedler, Bartosz Brzoza, Karan Shah, Timothy J Callow, Daniel Kotik, Steve Schmerler, Matthew C Barry, James M Goff, Andrew Rohskopf, Dayton J Vogel, Normand Modine, Aidan P Thompson, Sivasankaran Rajamanickam
Imperfect Recognition: A Study of OCR Limitations in the Context of Scientific Documents
Chinmay Sahasrabudhe, Yang Ho, Nick Winovich, Sivasankaran Rajamanickam
Predicting electronic structures at any length scale with machine learning
Lenz Fiedler, Normand Modine, Steve Scmerler, Dayton J Vogel, Gabriel Popoola, Aidan P Thompson, Sivasankaran Rajamanickam, Attila Cangi
A Comparison of Spectral and Spatial Graph Convolutional Neural Network Kernels Using GraphSAGE-Sparse
Michael Eydenberg, Mark Plagge, Sivasankaran Rajamanickam
Training-free hyperparameter optimization of neural networks for electronic structures in matter
Lenz Fiedler, Nils Hoffmann, Parvez Mohammed, Gabriel A. Popoola, Tamar Yovell, Vladyslav Oles, J. Austin Ellis, Sivasankaran Rajamanickam, Attila Cangi
Concentric Spherical Neural Network for 3D Representation Learning
James Fox, Bo Zhao, Beatriz Gonzalez Del Rio, Sivasankaran Rajamanickam, Rampi Ramprasad, Le Song
Accelerating finite-temperature Kohn-Sham density functional theory with deep neural networks
J Austin Ellis, Lenz Fiedler, Gabriel a Popoola, Normand a Modine, J Adam Stephens, Aidan P Thompson, Attila Cangi, Sivasankaran Rajamanickam
Concentric Spherical GNN for 3D Representation Learning
James Fox, Bo Zhao, Sivasankaran Rajamanickam, Rampi Ramprasad, Le Song