4 papers · 1 filter
A Diffusion Model to Shrink Proteins While Maintaining Their Function
Ethan Baron, Alan N. Amin, Ruben Weitzman +2
Many proteins useful in modern medicine or bioengineering are challenging to make in the lab, fuse with other proteins in cells, or deliver to tissues in the body, because their se…
Efficiently Generating Correlated Sample Paths from Multi-step Time Series Foundation Models
Ethan Baron, Boris Oreshkin, Ruijun Ma +5
Many time series applications require access to multi-step forecast trajectories in the form of sample paths. Recently, time series foundation models have leveraged multi-step look…
Boulder2Vec: Modeling Climber Performances in Professional Bouldering Competitions
Ethan Baron, Victor Hau, Zeke Weng
Using data from professional bouldering competitions from 2008 to 2022, we train a logistic regression to predict climber results and measure climber skill. However, this approach…
A Foundation Model for Soccer
Ethan Baron, Daniel Hocevar, Zach Salehe
We propose a foundation model for soccer, which is able to predict subsequent actions in a soccer match from a given input sequence of actions. As a proof of concept, we train a tr…