Bala Poduval

According to our database, Bala Poduval authored at least 6 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Connecting the Dots: A Machine Learning Ready Dataset for Ionospheric Forecasting Models.

Linnea Wolniewicz, Halil Kelebek, Simone Mestici, Michael Vergalla, Giacomo Acciarini, Bala Poduval, Olga Verkhoglyadova, Madhulika Guhathakurta, Thomas E. Berger, Atilim Günes Baydin, Frank Soboczenski

CoRR, November, 2025

IonCast: A Deep Learning Framework for Forecasting Ionospheric Dynamics.

Halil Kelebek, Linnea M. Wolniewicz, Michael D. Vergalla, Simone Mestici, Giacomo Acciarini, Bala Poduval, Olga Verkhoglyadova, Madhulika Guhathakurta, Thomas E. Berger, Frank Soboczenski, Atilim Günes Baydin

CoRR, November, 2025

Forecasting the Ionosphere from Sparse GNSS Data with Temporal-Fusion Transformers.

Giacomo Acciarini, Simone Mestici, Halil Kelebek, Linnea M. Wolniewicz, Michael D. Vergalla, Madhulika Guhathakurta, Umaa Rebbapragada, Bala Poduval, Atilim Günes Baydin, Frank Soboczenski

CoRR, September, 2025

2024

Probabilistic Forecasting of Radiation Exposure for Spaceflight.

Rutuja Gurav, Elena Massara, Xiaomei Song, Kimberly Sinclair, Edward Brown, Matt J. Kusner, Bala Poduval, Atilim Gunes Baydin

CoRR, 2024

2022

Heliophysics Discovery Tools for the 21st Century: Data Science and Machine Learning Structures and Recommendations for 2020-2050.

Ryan M. McGranaghan, Barbara J. Thompson, Enrico Camporeale, J. Bortnik, Monica G. Bobra, G. Lapenta, S. Wing, Bala Poduval, S. Lotz, S. Murray, Michael S. F. Kirk, T. Y. Chen, H. M. Bain, P. Riley, B. Tremblay, M. Cheung, Véronique Delouille

CoRR, 2022

2020

Dynamic Time Lag Regression: Predicting What & When.

Mandar Chandorkar, Cyril Furtlehner, Bala Poduval, Enrico Camporeale, Michèle Sebag

Proceedings of the 8th International Conference on Learning Representations, 2020