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Ilyes Batatia
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2020 – today
- 2024
- [c6]Ilyes Batatia, Lars L. Schaaf, Gábor Csányi, Christoph Ortner, Felix A. Faber:
Equivariant Matrix Function Neural Networks. ICLR 2024 - [c5]Ivan Grega, Ilyes Batatia, Gábor Csányi, Sri Karlapati, Vikram S. Deshpande:
Energy-conserving equivariant GNN for elasticity of lattice architected metamaterials. ICLR 2024 - [i10]Ivan Grega, Ilyes Batatia, Gábor Csányi, Sri Karlapati, Vikram S. Deshpande:
Energy-conserving equivariant GNN for elasticity of lattice architected metamaterials. CoRR abs/2401.16914 (2024) - [i9]Rokas Elijosius, Fabian Zills
, Ilyes Batatia, Sam Walton Norwood, Dávid Péter Kovács, Christian Holm, Gábor Csányi:
Zero Shot Molecular Generation via Similarity Kernels. CoRR abs/2402.08708 (2024) - 2023
- [c4]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 - [c3]Ilyes Batatia:
A Geometric Insight into Equivariant Message Passing Neural Networks on Riemannian Manifolds. TAG-ML 2023: 426-436 - [i8]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 abs/2306.00091 (2023) - [i7]Jose M. Munoz, Ilyes Batatia, Christoph Ortner, Francesco Romeo:
Retrieval of Boost Invariant Symbolic Observables via Feature Importance. CoRR abs/2306.13496 (2023) - [i6]Ilyes Batatia, Lars L. Schaaf, Huajie Chen, Gábor Csányi, Christoph Ortner, Felix A. Faber:
Equivariant Matrix Function Neural Networks. CoRR abs/2310.10434 (2023) - [i5]Ilyes Batatia:
A Geometric Insight into Equivariant Message Passing Neural Networks on Riemannian Manifolds. CoRR abs/2310.10448 (2023) - 2022
- [j1]Jose M. Munoz
, Ilyes Batatia, Christoph Ortner:
Boost invariant polynomials for efficient jet tagging. Mach. Learn. Sci. Technol. 3(4): 4 (2022) - [c2]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 - [i4]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 abs/2205.06643 (2022) - [i3]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 abs/2206.07697 (2022) - [i2]Jose M. Munoz, Ilyes Batatia, Christoph Ortner:
BIP: Boost Invariant Polynomials for Efficient Jet Tagging. CoRR abs/2207.08272 (2022) - [i1]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 abs/2210.01705 (2022) - 2020
- [c1]Ilyes Batatia:
A Deep Learning Method with CRF for Instance Segmentation of Metal-Organic Frameworks in Scanning Electron Microscopy Images. EUSIPCO 2020: 625-629
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