Showing 21–40 of 46 results
/ Date/ Name
Apr 8, 2021Graph Partitioning and Sparse Matrix Ordering using Reinforcement Learning and Graph Neural NetworksAug 22, 2025Training a Foundation Model for Materials on a BudgetSep 25, 2025Implicit Augmentation from Distributional Symmetry in Turbulence Super-ResolutionJul 17, 2023Artificial Intelligence for Science in Quantum, Atomistic, and Continuum SystemsFeb 17, 2026Machine learning electronic structure and atomistic properties from the external potentialJun 2, 2025A Tale of Two Symmetries: Exploring the Loss Landscape of Equivariant ModelsApr 10, 2026EquiformerV3: Scaling Efficient, Expressive, and General SE(3)-Equivariant Graph Attention TransformersNov 2, 2023Quantifying chemical short-range order in metallic alloysMay 29, 2024A Recipe for Charge Density PredictionOct 27, 2024A Cosmic-Scale Benchmark for Symmetry-Preserving Data ProcessingJun 16, 2025The Price of Freedom: Exploring Expressivity and Runtime Tradeoffs in Equivariant Tensor ProductsJan 15, 2011Demonstration of a Lightguide Detector for Liquid Argon TPCsApr 22, 2025High-performance training and inference for deep equivariant interatomic potentialsJan 12, 2026PFT: Phonon Fine-tuning for Machine Learned Interatomic PotentialsNov 24, 2022Learning Integrable Dynamics with Action-Angle NetworksJan 28, 2022Generative Coarse-Graining of Molecular ConformationsFeb 5, 2021Machine Learning on Neutron and X-Ray ScatteringOct 16, 2021Deep Learning and Spectral Embedding for Graph PartitioningOct 12, 2024EquiJump: Protein Dynamics Simulation via SO(3)-Equivariant Stochastic InterpolantsNov 27, 2023Symphony: Symmetry-Equivariant Point-Centered Spherical Harmonics for 3D Molecule Generation