Albert Bou

According to our database, Albert Bou authored at least 12 papers between 2020 and 2026.

Collaborative distances:

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

2026

LABBench2: An Improved Benchmark for AI Systems Performing Biology Research.

Jon M. Laurent, Albert Bou, Michael Pieler, Conor Igoe, Alex Andonian, Siddharth Narayanan, James D. Braza, Alexandros Sanchez Vassopoulos, Jacob L. Steenwyk, Blake Lash, Andrew D. White, Samuel G. Rodriques

CoRR, April, 2026

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

Test-Time Training Scaling for Chemical Exploration in Drug Design.

Morgan C. Thomas, Albert Bou, Gianni De Fabritiis

CoRR, January, 2025

REINFORCE-ING Chemical Language Models in Drug Design.

Morgan C. Thomas, Albert Bou, Gianni De Fabritiis

CoRR, January, 2025

REINFORCE-ING Chemical Language Models for Drug Discovery.

Morgan C. Thomas, Albert Bou, José Carlos Gómez-Tamayo, Gary Tresadern, Mazen Ahmad, Gianni De Fabritiis

J. Chem. Inf. Model., 2025

Test-Time Training Scaling Laws for Chemical Exploration in Drug Design.

Morgan C. Thomas, Albert Bou, Gianni De Fabritiis

J. Chem. Inf. Model., 2025

2024

ACEGEN: Reinforcement Learning of Generative Chemical Agents for Drug Discovery.

Albert Bou, Morgan C. Thomas, Sebastian Dittert, Carles Navarro, Maciej Majewski, Ye Wang, Shivam Patel, Gary Tresadern, Mazen Ahmad, Vincent Moens, Woody Sherman, Simone Sciabola, Gianni De Fabritiis

J. Chem. Inf. Model., 2024

Aviary: training language agents on challenging scientific tasks.

Siddharth Narayanan, James D. Braza, Ryan-Rhys Griffiths, Manvitha Ponnapati, Albert Bou, Jon M. Laurent, Ori Kabeli, Geemi P. Wellawatte, Sam Cox, Samuel G. Rodriques, Andrew D. White

CoRR, 2024

On Machine Learning Approaches for Protein-Ligand Binding Affinity Prediction.

Nikolai Schapin, Carles Navarro, Albert Bou, Gianni De Fabritiis

CoRR, 2024

TorchRL: A data-driven decision-making library for PyTorch.

Albert Bou, Matteo Bettini, Sebastian Dittert, Vikash Kumar, Shagun Sodhani, Xiaomeng Yang, Gianni De Fabritiis, Vincent Moens

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2020

NAPPO: Modular and scalable reinforcement learning in pytorch.

Albert Bou, Gianni De Fabritiis

CoRR, 2020