ASK-Berkeley
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Neural-Spectral-Methods
Neural-Spectral-Methods Public[ICLR 2024] Neural Spectral Methods: Self-supervised learning in the spectral domain.
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physics-NNs-hard-constraints
physics-NNs-hard-constraints Public[ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.
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StABlE-Training
StABlE-Training Public[TMLR 2025] Stability-Aware Training of Machine Learning Force Fields with Differentiable Boltzmann Estimators
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MLFF-distill
MLFF-distill PublicForked from ishanthewizard/MLFF-distill
[ICLR 2025] Official Implementation of "Towards Fast, Specialized Machine Learning Force Fields: Distilling Foundation Models via Energy Hessians"
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Repositories
- MLFF-distill Public Forked from ishanthewizard/MLFF-distill
[ICLR 2025] Official Implementation of "Towards Fast, Specialized Machine Learning Force Fields: Distilling Foundation Models via Energy Hessians"
ASK-Berkeley/MLFF-distill’s past year of commit activity - MLFF-distribution-shifts Public
ASK-Berkeley/MLFF-distribution-shifts’s past year of commit activity - StABlE-Training Public
[TMLR 2025] Stability-Aware Training of Machine Learning Force Fields with Differentiable Boltzmann Estimators
ASK-Berkeley/StABlE-Training’s past year of commit activity - CoarsenConf Public
ASK-Berkeley/CoarsenConf’s past year of commit activity - physics-NNs-hard-constraints Public
[ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.
ASK-Berkeley/physics-NNs-hard-constraints’s past year of commit activity - BADGER-SBDD Public
Official code base for "General Binding Affinity Guidance for Diffusion Models in Structure-Based Drug Design"
ASK-Berkeley/BADGER-SBDD’s past year of commit activity - Neural-Spectral-Methods Public
[ICLR 2024] Neural Spectral Methods: Self-supervised learning in the spectral domain.
ASK-Berkeley/Neural-Spectral-Methods’s past year of commit activity
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