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A diffusion model to shrink proteins while maintaining their function
Many proteins useful in modern medicine or bioengineering are challenging to make in the lab, fuse with other proteins in cells, or …
Ethan Baron*, Alan Nawzad Amin*, Ruben Weitzman, Debora Susan Marks, Andrew Gordon Wilson
Best Paper, EXAIT @ ICML Spotlight, GenBio @ ICML Best Paper, MoML MLCB PDF GitHub
Efficiently generating correlated sample paths from multi-step time series foundation models
Many time series applications require access to multi-step forecast trajectories in the form of sample paths. Recently, time series …
Ethan Baron, Boris Oreshkin, Ruijun Ma, Hanyu Zhang, Kari Torkkola, Michael W. Mahoney, Andrew Gordon Wilson, Tatiana Konstantinova
Oral, BERT2S @ NeurIPS arXiv
Boulder2Vec: Modeling climber performances in professional bouldering competitions
Using data from professional bouldering competitions from 2008 to 2022, we train a logistic regression to predict climber results and …
Ethan Baron, Victor Hau, Zeke Weng
Winner, Reproducible Research Competition CMSAC arXiv GitHub Video
Multi-aspect reviewed-item retrieval via LLM query decomposition and aspect fusion
While user-generated product reviews contain a large amount of information, their utility in addressing natural language product …
Anton Korikov, George Saad, Ethan Baron, Mustafa Khan, Manav Shah and Scott Sanner
Oral, IR-RAG @ SIGIR SIGIR arXiv
Bike2Vec: Vector embedding representations of road cycling riders and race
Vector embeddings have been successfully applied in several domains to obtain effective representations of non-numeric data which can …
Ethan Baron, Bram Janssens, Matthias Bogaert
MathSport arXiv GitHub
Modelling GTHA post-secondary school location choice
We modelled school location choices of post-secondary students in the Greater Toronto and Hamilton Area using data from two student …
Ethan Baron, Gonzalo Martinez Santos, Eric J. Miller
PDF GitHub