Ludovico Mitchener

According to our database, Ludovico Mitchener authored at least 8 papers between 2022 and 2025.

Collaborative distances:

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

2025

Kosmos: An AI Scientist for Autonomous Discovery.

Ludovico Mitchener, Angela Yiu, Benjamin Chang, Mathieu Bourdenx, Tyler Nadolski, Arvis Sulovari, Eric C. Landsness, Daniel L. Barabasi, Siddharth Narayanan, Nicky Evans, Shriya Reddy, Martha Foiani, Aizad Kamal, Leah P. Shriver, Fang Cao, Asmamaw T. Wassie, Jon M. Laurent, Edwin Melville-Green, Mayk Caldas Ramos, Albert Bou, Kaleigh F. Roberts, Sladjana Zagorac, Timothy C. Orr, Miranda E. Orr, Kevin J. Zwezdaryk, Ali Essa Ghareeb, Laurie McCoy, Bruna Gomes, Euan A. Ashley, Karen E. Duff, Tonio Buonassisi, Tom Rainforth, Randall J. Bateman, Michael D. Skarlinski, Samuel G. Rodriques, Michaela M. Hinks, Andrew D. White

CoRR, November, 2025

Training a Scientific Reasoning Model for Chemistry.

Siddharth Narayanan, James D. Braza, Ryan-Rhys Griffiths, Albert Bou, Geemi P. Wellawatte, Mayk Caldas Ramos, Ludovico Mitchener, Samuel G. Rodriques, Andrew D. White

CoRR, June, 2025

Robin: A multi-agent system for automating scientific discovery.

Ali Essa Ghareeb, Benjamin Chang, Ludovico Mitchener, Angela Yiu, Caralyn J. Szostkiewicz, Jon M. Laurent, Muhammed T. Razzak, Andrew D. White, Michaela M. Hinks, Samuel G. Rodriques

CoRR, May, 2025

BixBench: a Comprehensive Benchmark for LLM-based Agents in Computational Biology.

Ludovico Mitchener, Jon M. Laurent, Benjamin Tenmann, Siddharth Narayanan, Geemi P. Wellawatte, Andrew D. White, Lorenzo Sani, Samuel G. Rodriques

CoRR, March, 2025

Training a Scientific Reasoning Model for Chemistry.

Siddharth Narayanan, James D. Braza, Ryan-Rhys Griffiths, Albert Bou, Geemi P. Wellawatte, Mayk Caldas Ramos, Ludovico Mitchener, Michael Pieler, Samuel G. Rodriques, Andrew D. White

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2022

Detect, Understand, Act: A Neuro-symbolic Hierarchical Reinforcement Learning Framework.

Ludovico Mitchener, David Tuckey, Matthew Crosby, Alessandra Russo

Mach. Learn., 2022

Learning to Rank the Distinctiveness of Behaviour in Serial Offending.

Mark Law, Théophile Sautory, Ludovico Mitchener, Kari Davies, Matthew J. Tonkin, Jessica Woodhams, Dalal Alrajeh

Proceedings of the Logic Programming and Nonmonotonic Reasoning, 2022

Detect, Understand, Act: A Neuro-Symbolic Hierarchical Reinforcement Learning Framework (Extended Abstract).

Ludovico Mitchener, David Tuckey, Matthew Crosby, Alessandra Russo

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022