| Disease variant prediction with deep generative models of evolutionary data J Frazer, P Notin, M Dias, A Gomez, JK Min, K Brock, Y Gal, DS Marks Nature 599 (7883), 91-95, 2021 | 169 | 2021 |
| Tranception: protein fitness prediction with autoregressive transformers and inference-time retrieval P Notin, M Dias, J Frazer, JM Hurtado, AN Gomez, D Marks, Y Gal International Conference on Machine Learning (ICML), 16990-17017, 2022 | 30 | 2022 |
| Improving black-box optimization in VAE latent space using decoder uncertainty P Notin, JM Hernández-Lobato, Y Gal Advances in Neural Information Processing Systems (NeurIPS) 34, 802-814, 2021 | 26 | 2021 |
| RITA: a Study on Scaling Up Generative Protein Sequence Models D Hesslow, N Zanichelli, P Notin, I Poli, D Marks ICML, Workshop on Computational Biology (WCB), 2022 | 17* | 2022 |
| Large-scale clinical interpretation of genetic variants using evolutionary data and deep learning J Frazer, P Notin, M Dias, A Gomez, K Brock, Y Gal, DS Marks bioRxiv, 2020.12. 21.423785, 2020 | 14 | 2020 |
| GeneDisco: A Benchmark for Experimental Design in Drug Discovery A Mehrjou, A Soleymani, A Jesson, P Notin, Y Gal, S Bauer, P Schwab International Conference on Learning Representations (ICLR), 2021 | 9 | 2021 |
| Learning from pre-pandemic data to forecast viral antibody escape NN Thadani, S Gurev, P Notin, N Youssef, NJ Rollins, C Sander, Y Gal, ... bioRxiv, 2022.07. 21.501023, 2022 | 4 | 2022 |
| Principled uncertainty estimation for high dimensional data P Notin, JM Hernández-Lobato, Y Gal ICML, Workshop on Uncertainty and Robustness in Deep Learning (UDL), 2020 | 4 | 2020 |
| Mixtures of large-scale dynamic functional brain network modes C Gohil, E Roberts, R Timms, A Skates, C Higgins, A Quinn, U Pervaiz, ... NeuroImage, 2022 | 2 | 2022 |
| Improving compute efficacy frontiers with SliceOut P Notin, AN Gomez, J Yoo, Y Gal arXiv preprint arXiv:2007.10909, 2020 | 2* | 2020 |
| TranceptEVE: Combining Family-specific and Family-agnostic Models of Protein Sequences for Improved Fitness Prediction PM Notin, L Van Niekerk, AW Kollasch, D Ritter, Y Gal, D Marks NeurIPS, LMRL workshop, 2022 | 1 | 2022 |
| DyNeMoC: A semi-supervised architecture for classifying time series brain data AMS Khan, C Gohil, P Notin, J van Amersfoort, M Woolrich, Y Gal ICLR 2023 Workshop on Time Series Representation Learning for Health, 2023 | | 2023 |
| DiscoBAX-Discovery of optimal intervention sets in genomic experiment design C Lyle, A Mehrjou, P Notin, A Jesson, S Bauer, Y Gal, P Schwab | | 2023 |
| Learning from pre-pandemic data to forecast viral escape NN Thadani, S Gurev, P Notin, N Youssef, NJ Rollins, C Sander, Y Gal, ... bioRxiv, 2022.07. 21.501023, 2023 | | 2023 |
Yarin GalAssociate Professor, University of OxfordVerified email at cs.ox.ac.uk
