Ilyes Batatia

According to our database, Ilyes Batatia authored at least 13 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Zero Shot Molecular Generation via Similarity Kernels.

Rokas Elijosius, Fabian Zills, Ilyes Batatia, Sam Walton Norwood, Dávid Péter Kovács, Christian Holm, Gábor Csányi

CoRR, 2024

Energy-conserving equivariant GNN for elasticity of lattice architected metamaterials.

Ivan Grega, Ilyes Batatia, Gábor Csányi, Sri Karlapati, Vikram S. Deshpande

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Equivariant Matrix Function Neural Networks.

Ilyes Batatia, Lars L. Schaaf, Gábor Csányi, Christoph Ortner, Felix A. Faber

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Equivariant Matrix Function Neural Networks.

Ilyes Batatia, Lars L. Schaaf, Huajie Chen, Gábor Csányi, Christoph Ortner, Felix A. Faber

CoRR, 2023

Retrieval of Boost Invariant Symbolic Observables via Feature Importance.

Jose M. Munoz, Ilyes Batatia, Christoph Ortner, Francesco Romeo

CoRR, 2023

A Geometric Insight into Equivariant Message Passing Neural Networks on Riemannian Manifolds.

Ilyes Batatia

Proceedings of the Topological, 2023

A General Framework for Equivariant Neural Networks on Reductive Lie Groups.

Ilyes Batatia, Mario Geiger, Jose M. Munoz, Tess E. Smidt, Lior Silberman, Christoph Ortner

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Boost invariant polynomials for efficient jet tagging.

Jose M. Munoz, Ilyes Batatia, Christoph Ortner

Mach. Learn. Sci. Technol., December, 2022

Tensor-reduced atomic density representations.

James P. Darby, Dávid Péter Kovács, Ilyes Batatia, Miguel A. Caro, Gus L. W. Hart, Christoph Ortner, Gábor Csányi

CoRR, 2022

BIP: Boost Invariant Polynomials for Efficient Jet Tagging.

Jose M. Munoz, Ilyes Batatia, Christoph Ortner

CoRR, 2022

The Design Space of E(3)-Equivariant Atom-Centered Interatomic Potentials.

Ilyes Batatia, Simon L. Batzner, Dávid Péter Kovács, Albert Musaelian, Gregor N. C. Simm, Ralf Drautz, Christoph Ortner, Boris Kozinsky, Gábor Csányi

CoRR, 2022

MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields.

Ilyes Batatia, Dávid Péter Kovács, Gregor N. C. Simm, Christoph Ortner, Gábor Csányi

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.

Ilyes Batatia

Proceedings of the 28th European Signal Processing Conference, 2020