1 citations · 2 across the 15 of their papers we have counts for
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Cross-Regional Grapevine Cold Hardiness Prediction via Learned Multimodal Latent Representations
William Solow, Paola Pesantez-Cabrera, Markus Keller +3
Accurate daily predictions of cold hardiness in woody plants are critical in regions where freezing temperatures can damage dormant buds and reduce seasonal yield. Existing biophys…
Learning Action Models with Conditional and Quantified Effects via Uncertainty-Guided Exploration
Jeffrey Jewett, William Solow, Sandhya Saisubramanian
Accurate action models are critical for effective planning. Existing action-model learning methods largely assume simple action representations or become computationally intractabl…
Learning Transferable Latent User Preferences for Human-Aligned Decision Making
Alina Hyk, Sandhya Saisubramanian
Large language models (LLMs) are increasingly used as reasoning modules in many applications, yet they often struggle to produce human-aligned decisions. Human-aligned decision-mak…
A Hybrid Modeling Framework for Crop Prediction Tasks via Dynamic Parameter Calibration and Multi-Task Learning
William Solow, Paola Pesantez-Cabrera, Markus Keller +3
Accurate prediction of crop states (e.g., phenology stages and cold hardiness) is essential for timely farm management decisions such as irrigation, fertilization, and canopy manag…
Multi-Robot Coordination for Planning under Context Uncertainty
Pulkit Rustagi, Kyle Hollins Wray, Sandhya Saisubramanian
Real-world robots often operate in settings where objective priorities depend on the underlying context of operation. When the underlying context is unknown apriori, multiple robot…