Ilyes Batatia
According to our database1,
Ilyes Batatia
authored at least 15 papers
between 2020 and 2024.
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Collaborative distances:
Timeline
2020
2021
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2024
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Book In proceedings Article PhD thesis Dataset OtherLinks
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Bibliography
2024
BoostMD: Accelerating molecular sampling by leveraging ML force field features from previous time-steps.
CoRR, 2024
Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2024
Energy-conserving equivariant GNN for elasticity of lattice architected metamaterials.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
A Geometric Insight into Equivariant Message Passing Neural Networks on Riemannian Manifolds.
Proceedings of the Topological, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
2022
Mach. Learn. Sci. Technol., December, 2022
CoRR, 2022
MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
2020
A Deep Learning Method with CRF for Instance Segmentation of Metal-Organic Frameworks in Scanning Electron Microscopy Images.
Proceedings of the 28th European Signal Processing Conference, 2020