Jonathan Frazer

According to our database, Jonathan Frazer authored at least 5 papers between 2022 and 2025.

Collaborative distances:

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

2025

From Likelihood to Fitness: Improving Variant Effect Prediction in Protein and Genome Language Models.

Charles W. J. Pugh, Paulina G. Nuñez-Valencia, Mafalda Dias, Jonathan Frazer

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

A Genomic Language Model for Zero-Shot Prediction of Promoter Indel Effects.

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

Proceedings of the 20th Machine Learning in Computational Biology (MLCB), 2025

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

2022

Non-identifiability and the Blessings of Misspecification in Models of Molecular Fitness.

Eli N. Weinstein, Alan Nawzad Amin, Jonathan Frazer, Debora S. Marks

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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