François R. J. Cornet

According to our database, François R. J. Cornet authored at least 5 papers between 2020 and 2026.

Collaborative distances:

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

2026

AtomComposer: Discovering Chemical Space from First Principles with Reinforcement Learning.

Bjarke Hastrup, François R. J. Cornet, Tejs Vegge, Arghya Bhowmik

CoRR, May, 2026

2025

Improving generative inverse design of molecular catalysts in small data regime.

François R. J. Cornet, Pratham Deshmukh, Bardi Benediktsson, Mikkel N. Schmidt, Arghya Bhowmik

Mach. Learn. Sci. Technol., 2025

Kinetic Langevin Diffusion for Crystalline Materials Generation.

François R. J. Cornet, Federico Bergamin, Arghya Bhowmik, Juan Maria Garcia Lastra, Jes Frellsen, Mikkel N. Schmidt

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Equivariant Neural Diffusion for Molecule Generation.

François R. J. Cornet, Grigory Bartosh, Mikkel N. Schmidt, Christian Andersson Naesseth

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2020

Learning optimal environments using projected stochastic gradient ascent.

Adrien Bolland, Ioannis Boukas, François R. J. Cornet, Mathias Berger, Damien Ernst

CoRR, 2020