11 citations · 17 across the 7 of their papers we have counts for
7 papers
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…
Multi-Aspect Reviewed-Item Retrieval via LLM Query Decomposition and Aspect Fusion
Anton Korikov, George Saad, Ethan Baron +3
While user-generated product reviews often contain large quantities of information, their utility in addressing natural language product queries has been limited, with a key challe…
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…
Miss It Like Messi: Extracting Value from Off-Target Shots in Soccer
Ethan Baron, Nathan Sandholtz, Devin Pleuler +1
Measuring soccer shooting skill is a challenging analytics problem due to the scarcity and highly contextual nature of scoring events. The introduction of more advanced data surrou…
Bike2Vec: Vector Embedding Representations of Road Cycling Riders and Races
Ethan Baron, Bram Janssens, Matthias Bogaert
Vector embeddings have been successfully applied in several domains to obtain effective representations of non-numeric data which can then be used in various downstream tasks. We p…