Ilyes Batatia

According to our database1, Ilyes Batatia authored at least 12 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Zero Shot Molecular Generation via Similarity Kernels.
CoRR, 2024

Energy-conserving equivariant GNN for elasticity of lattice architected metamaterials.
CoRR, 2024

2023
Equivariant Matrix Function Neural Networks.
CoRR, 2023

Retrieval of Boost Invariant Symbolic Observables via Feature Importance.
CoRR, 2023

A Geometric Insight into Equivariant Message Passing Neural Networks on Riemannian Manifolds.
Proceedings of the Topological, 2023

A General Framework for Equivariant Neural Networks on Reductive Lie Groups.
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.
Mach. Learn. Sci. Technol., December, 2022

Tensor-reduced atomic density representations.
CoRR, 2022

BIP: Boost Invariant Polynomials for Efficient Jet Tagging.
CoRR, 2022

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


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