Assistant Professor, University of Texas at Austin
2 papers at NeurIPS 2025
This paper proposes a constrained posterior sampling approach for time series generation with hard constraints.
This paper proposes VIBE, an annotation-free method that selects video summaries for human decision-making by scoring task relevance and visual grounding without retraining.
