Sudeepta Mondal

According to our database, Sudeepta Mondal authored at least 6 papers between 2023 and 2026.

Collaborative distances:

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

2026

Non-intrusive Learning of Physics-Informed Spatio-temporal Surrogate for Accelerating Design.

Sudeepta Mondal, Soumalya Sarkar

CoRR, April, 2026

Tuning Out-of-Distribution (OOD) Detectors Without Given OOD Data.

Sudeepta Mondal, Xinyi Mary Xie, Ruxiao Duan, Alex Wong, Ganesh Sundaramoorthi

CoRR, February, 2026

2025

A Variational Information Theoretic Approach to Out-of-Distribution Detection.

Sudeepta Mondal, Zhuolin Jiang, Ganesh Sundaramoorthi

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

DKL-KAN: Scalable Deep Kernel Learning using Kolmogorov-Arnold Networks.

Shrenik Zinage, Sudeepta Mondal, Soumalya Sarkar

CoRR, 2024

2023

HAct: Out-of-Distribution Detection with Neural Net Activation Histograms.

Sudeepta Mondal, Ganesh Sundaramoorthi

CoRR, 2023

A Bayesian approach to quantifying uncertainties and improving generalizability in traffic prediction models.

Agnimitra Sengupta, Sudeepta Mondal, Adway Das, S. Ilgin Guler

CoRR, 2023