1 citations · 1 across the 2 of their papers we have counts for
4 papers
Beckmann World Models: Direct Terminal-Map Learning for One-Step Action-Conditioned Prediction
Adam Lee, Shobhit Agarwal, June Pyo Suh
Action-conditioned world models support planning and policy evaluation by predicting future states. However, learning an accurate one-step predictor can require substantial trainin…
TRACER: A Multimodal Harness for Patient Care in Hospitals
Zane Durante, Paul Tang, Keshigeyan Chandrasegaran +11
Continuous video and clinical records provide complementary information for understanding how patient behavior evolves over a hospital stay. A central challenge is how to represent…
VideoWeave: A Data-Centric Approach for Efficient Video Understanding
Zane Durante, Silky Singh, Arpandeep Khatua +6
Training video-language models is often prohibitively expensive due to the high cost of processing long frame sequences and the limited availability of annotated long videos. We pr…
Representing visual classification as a linear combination of words
Shobhit Agarwal, Yevgeniy R. Semenov, William Lotter
Explainability is a longstanding challenge in deep learning, especially in high-stakes domains like healthcare. Common explainability methods highlight image regions that drive an…