Search Results for author: Aidan Gomez

Found 2 papers, 1 papers with code

Tranception: protein fitness prediction with autoregressive transformers and inference-time retrieval

1 code implementation27 May 2022 Pascal Notin, Mafalda Dias, Jonathan Frazer, Javier Marchena-Hurtado, Aidan Gomez, Debora S. Marks, Yarin Gal

The ability to accurately model the fitness landscape of protein sequences is critical to a wide range of applications, from quantifying the effects of human variants on disease likelihood, to predicting immune-escape mutations in viruses and designing novel biotherapeutic proteins.

Retrieval

The Difficulty of Training Sparse Neural Networks

no code implementations ICML Workshop Deep_Phenomen 2019 Utku Evci, Fabian Pedregosa, Aidan Gomez, Erich Elsen

Additionally, our attempts to find a decreasing objective path from "bad" solutions to the "good" ones in the sparse subspace fail.

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