Jules Tilly

Researcher, InstaDeep

Joined

November 2023

Names

Jules Tilly (Preferred)

Emails

****@instadeep.com (Confirmed)

Personal Links

Homepage

Google Scholar

Career & Education History

Researcher

InstaDeep (instadeep.com)

2023 – Present

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Pretrained Model Representations as Acquisition Signals for Active Learning of MLIPs
Eszter Varga-Umbrich, Shikha Surana, Paul Duckworth, Jules Tilly, Olivier Peltre, Zachary Weller-Davies
- ICML2026-AI4Science Poster
- Readers: Everyone
MLIPAudit: A benchmarking tool for Machine Learned Interatomic Potentials
Leon Wehrhan, Lucien Walewski, Marie Bluntzer, Heloise Chomet, Christoph Brunken, Jules Tilly, Silvia Acosta-Gutierrez
- NeurIPS2025-AI4Science Poster
- Readers: Everyone
MLIPAudit: A benchmarking tool for Machine Learned Interatomic Potentials
Leon Wehrhan, Lucien Walewski, Marie Bluntzer, Heloise Chomet, Christoph Brunken, Jules Tilly, Silvia Acosta-Gutierrez
- AI4Mat-NeurIPS-2025 Poster
- Readers: Everyone
Machine Learning Interatomic Potentials: library for efficient training, model development and simulation of molecular systems
Christoph Brunken, Olivier Peltre, Heloise Chomet, Lucien Walewski, Manus McAuliffe, Valentin Heyraud, Solal Attias, Martin Maarand, Yessine Khanfir, Edan Toledo, Fabio Falcioni, Marie Bluntzer, Silvia Acosta-Gutierrez, Jules Tilly
- AI4Mat-NeurIPS-2025 Poster
- Readers: Everyone
Machine Learning Interatomic Potentials: library for efficient training, model development and simulation of molecular systems
Christoph Brunken, Olivier Peltre, Heloise Chomet, Lucien Walewski, Manus McAuliffe, Valentin Heyraud, Solal Attias, Martin Maarand, Yessine Khanfir, Edan Toledo, Fabio Falcioni, Marie Bluntzer, Silvia Acosta-Gutierrez, Jules Tilly
- NeurIPS2025-AI4Science Poster
- Readers: Everyone
BoostMD: Accelerated Molecular Sampling Leveraging ML Force Field Features
Lars Leon Schaaf, Ilyes Batatia, Jules Tilly, Thomas D Barrett
- D3S3 2024 Poster
- Readers: Everyone

Jules Tilly

Names

Emails

Personal Links

Career & Education History

Advisors, Relations & Conflicts

Expertise

Publications

Pretrained Model Representations as Acquisition Signals for Active Learning of MLIPs

MLIPAudit: A benchmarking tool for Machine Learned Interatomic Potentials

MLIPAudit: A benchmarking tool for Machine Learned Interatomic Potentials

Machine Learning Interatomic Potentials: library for efficient training, model development and simulation of molecular systems

Machine Learning Interatomic Potentials: library for efficient training, model development and simulation of molecular systems

BoostMD: Accelerated Molecular Sampling Leveraging ML Force Field Features

Co-Authors