Pascal Notin - RankMe

22 papers A* 8Journal 12Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Genomic Language Model for Zero-Shot Prediction of Promoter Indel Effects. MLCB Courtney Shearer, Rose Orenbuch, Felix Teufel, Christian Steinmetz, Daniel Ritter, Erik Xie, Artem Gazizov, Aviv Spinner, Mafalda Dias, Jonathan Frazer, Pascal Notin, Debora S. Marks
2025	J	`jnl`	Few-shot Protein Fitness Prediction via In-context Learning and Test-time Training. CoRR Felix Teufel, Aaron Kollasch, Yining Huang, Ole Winther, Kevin K. Yang, Pascal Notin, Debora S. Marks
2025	J	`jnl`	Multi-megabase scale genome interpretation with genetic language models. CoRR 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
2025	A*	`conf`	Protriever: End-to-End Differentiable Protein Homology Search for Fitness Prediction. ICML Ruben Weitzman, Peter Mørch Groth, Lood van Niekerk, Aoi Otani, Yarin Gal, Debora Susan Marks, Pascal Notin
2025	J	`jnl`	Protriever: End-to-End Differentiable Protein Homology Search for Fitness Prediction. CoRR Ruben Weitzman, Peter Mørch Groth, Lood van Niekerk, Aoi Otani, Yarin Gal, Debora S. Marks, Pascal Notin
2025	—	`conf`	The CausalBench challenge: A machine learning contest for gene network inference from single-cell perturbation data. CLeaR 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
2024	A*	`conf`	Multi-Scale Representation Learning for Protein Fitness Prediction. NeurIPS Zuobai Zhang, Pascal Notin, Yining Huang, Aurélie C. Lozano, Vijil Chenthamarakshan, Debora S. Marks, Payel Das, Jian Tang
2024	J	`jnl`	Multi-Scale Representation Learning for Protein Fitness Prediction. CoRR Zuobai Zhang, Pascal Notin, Yining Huang, Aurélie C. Lozano, Vijil Chenthamarakshan, Debora S. Marks, Payel Das, Jian Tang
2023	J	`jnl`	DiscoBAX: Discovery of Optimal Intervention Sets in Genomic Experiment Design. CoRR Clare Lyle, Arash Mehrjou, Pascal Notin, Andrew Jesson, Stefan Bauer, Yarin Gal, Patrick Schwab
2023	A*	`conf`	DiscoBAX: Discovery of optimal intervention sets in genomic experiment design. ICML Clare Lyle, Arash Mehrjou, Pascal Notin, Andrew Jesson, Stefan Bauer, Yarin Gal, Patrick Schwab
2023	A*	`conf`	ProteinGym: Large-Scale Benchmarks for Protein Fitness Prediction and Design. NeurIPS 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
2023	A*	`conf`	ProteinNPT: Improving protein property prediction and design with non-parametric transformers. NeurIPS Pascal Notin, Ruben Weitzman, Debora S. Marks, Yarin Gal
2023	J	`jnl`	The CausalBench challenge: A machine learning contest for gene network inference from single-cell perturbation data. CoRR 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
2022	A*	`conf`	GeneDisco: A Benchmark for Experimental Design in Drug Discovery. ICLR Arash Mehrjou, Ashkan Soleymani, Andrew Jesson, Pascal Notin, Yarin Gal, Stefan Bauer, Patrick Schwab
2022	J	`jnl`	Mixtures of large-scale dynamic functional brain network modes. NeuroImage 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
2022	J	`jnl`	RITA: a Study on Scaling Up Generative Protein Sequence Models. CoRR Daniel Hesslow, Niccoló Zanichelli, Pascal Notin, Iacopo Poli, Debora S. Marks
2022	A*	`conf`	Tranception: Protein Fitness Prediction with Autoregressive Transformers and Inference-time Retrieval. ICML Pascal Notin, Mafalda Dias, Jonathan Frazer, Javier Marchena-Hurtado, Aidan N. Gomez, Debora S. Marks, Yarin Gal
2022	J	`jnl`	Tranception: protein fitness prediction with autoregressive transformers and inference-time retrieval. CoRR Pascal Notin, Mafalda Dias, Jonathan Frazer, Javier Marchena-Hurtado, Aidan N. Gomez, Debora S. Marks, Yarin Gal
2021	J	`jnl`	GeneDisco: A Benchmark for Experimental Design in Drug Discovery. CoRR Arash Mehrjou, Ashkan Soleymani, Andrew Jesson, Pascal Notin, Yarin Gal, Stefan Bauer, Patrick Schwab
2021	A*	`conf`	Improving black-box optimization in VAE latent space using decoder uncertainty. NeurIPS Pascal Notin, José Miguel Hernández-Lobato, Yarin Gal
2021	J	`jnl`	Improving black-box optimization in VAE latent space using decoder uncertainty. CoRR Pascal Notin, José Miguel Hernández-Lobato, Yarin Gal
2020	J	`jnl`	SliceOut: Training Transformers and CNNs faster while using less memory. CoRR Pascal Notin, Aidan N. Gomez, Joanna Yoo, Yarin Gal