Author

Sandhya Saisubramanian

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#artificial intelligence Preprint Aug 2026

Cross-Regional Grapevine Cold Hardiness Prediction via Learned Multimodal Latent Representations

This work proposes a cold hardiness prediction framework that learns a transferable latent representation by capturing region-specific variation through learned embeddings, and demonstrates that this approach consistently outperforms state-of-the-art cold hardiness prediction methods.

William Solow, Paola Pesántez-Cabrera, Markus Keller et al. · 0 citations

#artificial intelligence Preprint Aug 2026

Learning Action Models with Conditional and Quantified Effects via Uncertainty-Guided Exploration

Online Hypothesis-Driven Conditional Action Model Learning (OHCAM), an online approach for learning action models with conditional and quantified effects from limited interactions with the environment, is presented.

Jeff Jewett, William Solow, Sandhya Saisubramanian · 0 citations