Publications (4)
Improving Pediatric Emergency Department Triage with Modality Dropout in Late Fusion Multimodal EHR Models
Tyler Yang, Romal Mitr
Emergency department triage relies heavily on both quantitative vital signs and qualitative clinical notes, yet multimodal machine learning models predicting triage acuity often su…
Decision-oriented benchmarking to transform AI weather forecast access: Application to the Indian monsoon
Rajat Masiwal, Colin Aitken, Adam Marchakitus +9
Artificial intelligence weather prediction (AIWP) models now often outperform traditional physics-based models on common metrics while requiring orders-of-magnitude less computing…
Search over Self-Edit Strategies for LLM Adaptation
Alistair Cheong, Haolin Cong, Tyler Yang +1
Many LLM-based open-ended search systems freeze the foundation model that proposes improvements to existing solutions, which may bottleneck long-run progress. Recent work has explo…
Designing probabilistic AI monsoon forecasts to inform agricultural decision-making
Colin Aitken, Rajat Masiwal, Adam Marchakitus +7
Hundreds of millions of farmers make high-stakes decisions under uncertainty about future weather. Forecasts can inform these decisions, but available choices and their risks and b…