A Machine Learning Framework to Explain Complex Geospatial Simulations: A Climate Change Case Study. - Tanvir Ferdousi; Abhijin Adiga; Mandy L. Wilson; S. S. Ravi; Anil Vullikanti; Madhav V. Marathe; Samarth Swarup; Mingliang Liu; Kirti Rajagopalan; Jennifer Adam (WSC, 2023)

Attention-Based Models for Snow-Water Equivalent Prediction. - Krishu K. Thapa; Bhupinderjeet Singh; Supriya Savalkar; Alan Fern; Kirti Rajagopalan; Ananth Kalyanaraman (AAAI, 2024)

Value-based Resource Matching with Fairness Criteria: Application to Agricultural Water Trading. - Abhijin Adiga; Yohai Trabelsi; Tanvir Ferdousi; Madhav V. Marathe; S. S. Ravi; Samarth Swarup; Anil Kumar S. Vullikanti; Mandy L. Wilson; Sarit Kraus; Reetwika Basu; Supriya Savalkar; Matthew Yourek; et al. (AAMAS, 2024)

Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approach. - Mohammed Amine Gharsallaoui; Bhupinderjeet Singh; Supriya Savalkar; Aryan Deshwal; Ananth Kalyanaraman; Kirti Rajagopalan; Janardhan Rao Doppa (IJCAI, 2024)

Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approach. - Mohammed Amine Gharsallaoui; Bhupinderjeet Singh; Supriya Savalkar; Aryan Deshwal; Yan Yan 006; Ananth Kalyanaraman; Kirti Rajagopalan; Janardhan Rao Doppa (CoRR, 2024)

IGraSS: Learning to Identify Infrastructure Networks from Satellite Imagery by Iterative Graph-constrained Semantic Segmentation. - Oishee Bintey Hoque; Abhijin Adiga; Aniruddha Adiga; Siddharth Chaudhary; Madhav V. Marathe; S. S. Ravi; Kirti Rajagopalan; Amanda Wilson; Samarth Swarup (CoRR, 2025)