Computing Accurate Probabilistic Estimates of One-D Entropy from Equiprobable Random Samples. - Hoshin V. Gupta; Mohammed Reza Ehsani; Tirthankar Roy; Maria A. Sans-Fuentes; Uwe Ehret; Ali Behrangi (Entropy, 2021)

How certain are our uncertainty bounds? Accounting for sample variability in Monte Carlo-based uncertainty estimates. - Tirthankar Roy; Hoshin V. Gupta (Environ. Model. Softw., 2021)

Towards reducing flood risk disasters in a tropical urban basin by the development of flood alert web application. - Tiago Souza Mattos; Paulo Tarso Sanches de Oliveira; Leonardo de Souza Bruno; Glauber Altrão Carvalho; Rodrigo Bahia Pereira; Leonardo Lazarino Crivellaro; Murilo Cesar Lucas; Tirthankar Roy (Environ. Model. Softw., 2022)

Differentiable modeling to unify machine learning and physical models and advance Geosciences. - Chaopeng Shen; Alison P. Appling; Pierre Gentine; Toshiyuki Bandai; Hoshin V. Gupta; Alexandre Tartakovsky; Marco Baity-Jesi; Fabrizio Fenicia; Daniel Kifer; Li Li; Xiaofeng Liu; Wei Ren; et al. (CoRR, 2023)

Temporal Fusion Transformers for Streamflow Prediction: Value of Combining Attention with Recurrence. - Sinan Rasiya Koya; Tirthankar Roy (CoRR, 2023)

An Autoencoder-based Snow Drought Index. - Sinan Rasiya Koya; Kanak Kanti Kar; Shivendra Srivastava; Tsegaye Tadesse; Mark Svoboda; Tirthankar Roy (CoRR, 2023)

Applicability of a flood forecasting system for Nebraska watersheds. - Sinan Rasiya Koya; Nicolas Velasquez Giron; Marcela Rojas; Ricardo Mantilla; Kirk Harvey; Daniel L. Ceynar; Felipe Quintero Duque; Witold F. Krajewski; Tirthankar Roy (Environ. Model. Softw., 2023)

Effects of mass balance, energy balance, and storage-discharge constraints on LSTM for streamflow prediction. - Sudan Pokharel; Tirthankar Roy; David Admiraal (Environ. Model. Softw., 2023)

A Parsimonious Setup for Streamflow Forecasting using CNN-LSTM. - Sudan Pokharel; Tirthankar Roy (CoRR, 2024)

Reinforcement Learning for Sociohydrology. - Tirthankar Roy; Shivendra Srivastava; Beichen Zhang (CoRR, 2024)

Baseflow identification via explainable AI with Kolmogorov-Arnold networks. - Chuyang Liu; Tirthankar Roy; Daniel M. Tartakovsky; Dipankar Dwivedi (CoRR, 2024)

Efficacy of Temporal Fusion Transformers for Runoff Simulation. - Sinan Rasiya Koya; Tirthankar Roy (CoRR, 2025)