LRIM benchmark accepted at ICLR 2026
Our paper on the Long-Range Ising Model benchmark for provably evaluating long-range capabilities in graph learning has been accepted for poster presentation at ICLR 2026, Rio de …
Our paper on the Long-Range Ising Model benchmark for provably evaluating long-range capabilities in graph learning has been accepted for poster presentation at ICLR 2026, Rio de …
Our paper on learning unbounded layer width during training (with easy truncation and dynamic compression) has been accepted for poster presentation at ICLR 2026, Rio de Janeiro.
Performance of Universal Machine-Learned Potentials with Explicit Long-Range Interactions in Biomolecular Simulations accepted for publication in JCTC (ACS). Viktor Zaverkin, …
Performance of Universal Machine-Learned Potentials with Explicit Long-Range Interactions in Biomolecular Simulations accepted for publication in JCTC (ACS). Viktor Zaverkin, …
Fast, Modular, and Differentiable Framework for Machine Learning-Enhanced Molecular Simulations accepted in J. Chem. Phys. PyTorch-based framework for ML-enhanced MD/MC; code at …
Fast, Modular, and Differentiable Framework for Machine Learning-Enhanced Molecular Simulations accepted in J. Chem. Phys. PyTorch-based framework for ML-enhanced MD/MC; code at …