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François R J Cornet

2 accepted papers

2025

Kinetic Langevin Diffusion for Crystalline Materials Generation

ICML 2025poster

Generative modeling of crystalline materials using diffusion models presents a series of challenges: the data distribution is characterized by inherent symmetries and involves multiple modalities, with some defined on specific manifolds. Notably, the treatment of fractional coordinates representing…

Cited by 1SourcePDFScholar
2024

Equivariant Neural Diffusion for Molecule Generation

NeurIPS 2024poster

We introduce Equivariant Neural Diffusion (END), a novel diffusion model for molecule generation in 3D that is equivariant to Euclidean transformations. Compared to current state-of-the-art equivariant diffusion models, the key innovation in END lies in its learnable forward process for enhanced gen…