Ilyes Batatia

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 17

Top Topics

Clique Potentials

Riemannian Manifolds

Top Venues

Mach. Learn. Sci. Technol.

Publications

Ilyes Batatia, Lars L. Schaaf, Gábor Csányi, Christoph Ortner, Felix A. Faber
Equivariant Matrix Function Neural Networks. ICLR (2024)
Rokas Elijosius, Fabian Zills, Ilyes Batatia, Sam Walton Norwood, Dávid Péter Kovács, Christian Holm, Gábor Csányi
Zero Shot Molecular Generation via Similarity Kernels. CoRR (2024)
Ivan Grega, Ilyes Batatia, Gábor Csányi, Sri Karlapati, Vikram S. Deshpande
Energy-conserving equivariant GNN for elasticity of lattice architected metamaterials. CoRR (2024)
Ivan Grega, Ilyes Batatia, Gábor Csányi, Sri Karlapati, Vikram S. Deshpande
Energy-conserving equivariant GNN for elasticity of lattice architected metamaterials. ICLR (2024)
Ilyes Batatia, Mario Geiger, Jose M. Munoz, Tess E. Smidt, Lior Silberman, Christoph Ortner
A General Framework for Equivariant Neural Networks on Reductive Lie Groups. NeurIPS (2023)
Ilyes Batatia
A Geometric Insight into Equivariant Message Passing Neural Networks on Riemannian Manifolds. TAG-ML (2023)
Ilyes Batatia, Mario Geiger, Jose M. Munoz, Tess E. Smidt, Lior Silberman, Christoph Ortner
A General Framework for Equivariant Neural Networks on Reductive Lie Groups. CoRR (2023)
Jose M. Munoz, Ilyes Batatia, Christoph Ortner, Francesco Romeo
Retrieval of Boost Invariant Symbolic Observables via Feature Importance. CoRR (2023)
Ilyes Batatia
A Geometric Insight into Equivariant Message Passing Neural Networks on Riemannian Manifolds. CoRR (2023)
Ilyes Batatia, Lars L. Schaaf, Huajie Chen, Gábor Csányi, Christoph Ortner, Felix A. Faber
Equivariant Matrix Function Neural Networks. CoRR (2023)
Ilyes Batatia, Dávid Péter Kovács, Gregor N. C. Simm, Christoph Ortner, Gábor Csányi
MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields. CoRR (2022)
James P. Darby, Dávid Péter Kovács, Ilyes Batatia, Miguel A. Caro, Gus L. W. Hart, Christoph Ortner, Gábor Csányi
Tensor-reduced atomic density representations. CoRR (2022)
Ilyes Batatia, Simon L. Batzner, Dávid Péter Kovács, Albert Musaelian, Gregor N. C. Simm, Ralf Drautz, Christoph Ortner, Boris Kozinsky, Gábor Csányi
The Design Space of E(3)-Equivariant Atom-Centered Interatomic Potentials. CoRR (2022)
Ilyes Batatia, Dávid Péter Kovács, Gregor N. C. Simm, Christoph Ortner, Gábor Csányi
MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields. NeurIPS (2022)
Jose M. Munoz, Ilyes Batatia, Christoph Ortner
BIP: Boost Invariant Polynomials for Efficient Jet Tagging. CoRR (2022)
Jose M. Munoz, Ilyes Batatia, Christoph Ortner
Boost invariant polynomials for efficient jet tagging. Mach. Learn. Sci. Technol. 3 (4) (2022)
Ilyes Batatia
A Deep Learning Method with CRF for Instance Segmentation of Metal-Organic Frameworks in Scanning Electron Microscopy Images. EUSIPCO (2020)