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2020 – today
- 2023
[c6]Clare Lyle, Arash Mehrjou, Pascal Notin, Andrew Jesson, Stefan Bauer, Yarin Gal, Patrick Schwab:
DiscoBAX: Discovery of optimal intervention sets in genomic experiment design. ICML 2023: 23170-23189- [c5]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:
ProteinGym: Large-Scale Benchmarks for Protein Fitness Prediction and Design. NeurIPS 2023 - [c4]Pascal Notin, Ruben Weitzman, Debora S. Marks, Yarin Gal:
ProteinNPT: Improving protein property prediction and design with non-parametric transformers. NeurIPS 2023 - [i7]Mathieu Chevalley, Jacob Sackett-Sanders, Yusuf 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:
The CausalBench challenge: A machine learning contest for gene network inference from single-cell perturbation data. CoRR abs/2308.15395 (2023) - [i6]Clare Lyle, Arash Mehrjou, Pascal Notin, Andrew Jesson, Stefan Bauer, Yarin Gal, Patrick Schwab:
DiscoBAX: Discovery of Optimal Intervention Sets in Genomic Experiment Design. CoRR abs/2312.04064 (2023) - 2022
- [j1]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:
Mixtures of large-scale dynamic functional brain network modes. NeuroImage 263: 119595 (2022) - [c3]Arash Mehrjou, Ashkan Soleymani, Andrew Jesson, Pascal Notin, Yarin Gal, Stefan Bauer, Patrick Schwab:
GeneDisco: A Benchmark for Experimental Design in Drug Discovery. ICLR 2022 - [c2]Pascal Notin, Mafalda Dias, Jonathan Frazer, Javier Marchena-Hurtado, Aidan N. Gomez, Debora S. Marks, Yarin Gal:
Tranception: Protein Fitness Prediction with Autoregressive Transformers and Inference-time Retrieval. ICML 2022: 16990-17017 - [i5]Daniel Hesslow, Niccoló Zanichelli, Pascal Notin, Iacopo Poli, Debora S. Marks:
RITA: a Study on Scaling Up Generative Protein Sequence Models. CoRR abs/2205.05789 (2022) - [i4]Pascal Notin, Mafalda Dias, Jonathan Frazer, Javier Marchena-Hurtado, Aidan N. Gomez, Debora S. Marks, Yarin Gal:
Tranception: protein fitness prediction with autoregressive transformers and inference-time retrieval. CoRR abs/2205.13760 (2022) - 2021
- [c1]Pascal Notin, José Miguel Hernández-Lobato, Yarin Gal:
Improving black-box optimization in VAE latent space using decoder uncertainty. NeurIPS 2021: 802-814 - [i3]Pascal Notin, José Miguel Hernández-Lobato, Yarin Gal:
Improving black-box optimization in VAE latent space using decoder uncertainty. CoRR abs/2107.00096 (2021) - [i2]Arash Mehrjou, Ashkan Soleymani, Andrew Jesson, Pascal Notin, Yarin Gal, Stefan Bauer, Patrick Schwab:
GeneDisco: A Benchmark for Experimental Design in Drug Discovery. CoRR abs/2110.11875 (2021) - 2020
- [i1]Pascal Notin, Aidan N. Gomez, Joanna Yoo, Yarin Gal:
SliceOut: Training Transformers and CNNs faster while using less memory. CoRR abs/2007.10909 (2020)
Coauthor Index
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