Publication

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 …

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Francesco Alesiani

Adaptive Width Neural Networks accepted at ICLR 2026

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.

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Francesco Alesiani

Paper accepted in Journal of Chemical Theory and Computation (JCTC)

Performance of Universal Machine-Learned Potentials with Explicit Long-Range Interactions in Biomolecular Simulations accepted for publication in JCTC (ACS). Viktor Zaverkin, …

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Francesco Alesiani

Paper accepted in Journal of Chemical Theory and Computation (JCTC)

Performance of Universal Machine-Learned Potentials with Explicit Long-Range Interactions in Biomolecular Simulations accepted for publication in JCTC (ACS). Viktor Zaverkin, …

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Francesco Alesiani

Paper on DIMOS (PyTorch molecular dynamics framework) accepted in J. Chem. Phys.

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 …

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Francesco Alesiani

Paper on DIMOS (PyTorch molecular dynamics framework) accepted in J. Chem. Phys.

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 …

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Francesco Alesiani