Pascal Notin

According to our database, Pascal Notin authored at least 13 papers between 2020 and 2025.

Collaborative distances:

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

2025

Protriever: End-to-End Differentiable Protein Homology Search for Fitness Prediction.

Ruben Weitzman, Peter Mørch Groth, Lood van Niekerk, Aoi Otani, Yarin Gal, Debora S. Marks, Pascal Notin

CoRR, June, 2025

Multi-megabase scale genome interpretation with genetic language models.

Frederik Träuble, Lachlan Stuart, Andreas Georgiou, Pascal Notin, Arash Mehrjou, Ron Schwessinger, Mathieu Chevalley, Kim Branson, Bernhard Schölkopf, Cornelia van Duijn, Debora S. Marks, Patrick Schwab

CoRR, January, 2025

The CausalBench challenge: A machine learning contest for gene network inference from single-cell perturbation data.

Mathieu Chevalley, Jacob Sackett-Sanders, Yusuf H. Roohani, Pascal Notin, Artemy Bakulin, Dariusz Brzezinski, Kaiwen Deng, Yuanfang Guan, Justin Hong, Michael Ibrahim, Wojciech Kotlowski, Marcin Kowiel, Panagiotis Misiakos, Achille Nazaret, Markus Püschel, Chris Wendler, Arash Mehrjou, Patrick Schwab

Proceedings of the Causal Learning and Reasoning, Lausanne, Switzerland, 7-9 May 2025., 2025

2024

Multi-Scale Representation Learning for Protein Fitness Prediction.

Zuobai Zhang, Pascal Notin, Yining Huang, Aurélie C. Lozano, Vijil Chenthamarakshan, Debora S. Marks, Payel Das, Jian Tang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

ProteinNPT: Improving protein property prediction and design with non-parametric transformers.

Pascal Notin, Ruben Weitzman, Debora S. Marks, Yarin Gal

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ProteinGym: Large-Scale Benchmarks for Protein Fitness Prediction and Design.

Pascal Notin, Aaron Kollasch, Daniel Ritter, Lood van Niekerk, Steffanie Paul, Han Spinner, Nathan J. Rollins, Ada Shaw, Rose Orenbuch, Ruben Weitzman, Jonathan Frazer, Mafalda Dias, Dinko Franceschi, Yarin Gal, Debora S. Marks

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DiscoBAX: Discovery of optimal intervention sets in genomic experiment design.

Clare Lyle, Arash Mehrjou, Pascal Notin, Andrew Jesson, Stefan Bauer, Yarin Gal, Patrick Schwab

Proceedings of the International Conference on Machine Learning, 2023

2022

Mixtures of large-scale dynamic functional brain network modes.

Chetan Gohil, Evan Roberts, Ryan C. Timms, Alex Skates, Cameron Higgins, Andrew Quinn, Usama Pervaiz, Joost van Amersfoort, Pascal Notin, Yarin Gal, Stanislaw Adaszewski, Mark W. Woolrich

NeuroImage, 2022

RITA: a Study on Scaling Up Generative Protein Sequence Models.

Daniel Hesslow, Niccoló Zanichelli, Pascal Notin, Iacopo Poli, Debora S. Marks

CoRR, 2022

Tranception: Protein Fitness Prediction with Autoregressive Transformers and Inference-time Retrieval.

Pascal Notin, Mafalda Dias, Jonathan Frazer, Javier Marchena-Hurtado, Aidan N. Gomez, Debora S. Marks, Yarin Gal

Proceedings of the International Conference on Machine Learning, 2022

GeneDisco: A Benchmark for Experimental Design in Drug Discovery.

Arash Mehrjou, Ashkan Soleymani, Andrew Jesson, Pascal Notin, Yarin Gal, Stefan Bauer, Patrick Schwab

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Improving black-box optimization in VAE latent space using decoder uncertainty.

Pascal Notin, José Miguel Hernández-Lobato, Yarin Gal

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

SliceOut: Training Transformers and CNNs faster while using less memory.

Pascal Notin, Aidan N. Gomez, Joanna Yoo, Yarin Gal

CoRR, 2020