Low-Rank Tensor Regression for X-Ray Tomography. - Sanket R. Jantre; Zichao Wendy Di (ICIP, 2021)

Sequential Bayesian Neural Subnetwork Ensembles. - Sanket R. Jantre; Sandeep Madireddy; Shrijita Bhattacharya; Tapabrata Maiti; Prasanna Balaprakash (CoRR, 2022)

Unified Probabilistic Neural Architecture and Weight Ensembling Improves Model Robustness. - Sumegha Premchandar; Sandeep Madireddy; Sanket R. Jantre; Prasanna Balaprakash (CoRR, 2022)

ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation. - Sungduk Yu; Walter M. Hannah; Liran Peng; Jerry Lin; Mohamed Aziz Bhouri; Ritwik Gupta; Björn Lütjens; Justus C. Will; Gunnar Behrens; Julius Busecke; Nora Loose; Charles Stern; et al. (NeurIPS, 2023)

ClimSim: An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators. - Sungduk Yu; Walter M. Hannah; Liran Peng; Mohamed Aziz Bhouri; Ritwik Gupta; Jerry Lin; Björn Lütjens; Justus C. Will; Tom Beucler; Bryce E. Harrop; Benjamin R. Hillman; Andrea M. Jenney; et al. (CoRR, 2023)

A comprehensive study of spike and slab shrinkage priors for structurally sparse Bayesian neural networks. - Sanket R. Jantre; Shrijita Bhattacharya; Tapabrata Maiti (CoRR, 2023)

Layer adaptive node selection in Bayesian neural networks: Statistical guarantees and implementation details. - Sanket R. Jantre; Shrijita Bhattacharya; Tapabrata Maiti (Neural Networks, 2023)

Learning Active Subspaces for Effective and Scalable Uncertainty Quantification in Deep Neural Networks. - Sanket R. Jantre; Nathan M. Urban; Xiaoning Qian; Byung-Jun Yoon (ICASSP, 2024)

Leveraging Active Subspaces to Capture Epistemic Model Uncertainty in Deep Generative Models for Molecular Design. - A. N. M. Nafiz Abeer; Sanket R. Jantre; Nathan M. Urban; Byung-Jun Yoon (MLSP, 2024)

Enhancing Generative Molecular Design via Uncertainty-guided Fine-tuning of Variational Autoencoders. - A. N. M. Nafiz Abeer; Sanket R. Jantre; Nathan M. Urban; Byung-Jun Yoon (CoRR, 2024)

Uncertainty-Aware Adaptation of Large Language Models for Protein-Protein Interaction Analysis. - Sanket R. Jantre; Tianle Wang 001; Gilchan Park; Kriti Chopra; Nicholas Jeon; Xiaoning Qian; Nathan M. Urban; Byung-Jun Yoon (CoRR, 2025)

C-LoRA: Contextual Low-Rank Adaptation for Uncertainty Estimation in Large Language Models. - Amir Hossein Rahmati; Sanket R. Jantre; Weifeng Zhang; Yucheng Wang; Byung-Jun Yoon; Nathan M. Urban; Xiaoning Qian (CoRR, 2025)

Spike-and-Slab Shrinkage Priors for Structurally Sparse Bayesian Neural Networks. - Sanket R. Jantre; Shrijita Bhattacharya; Tapabrata Maiti (IEEE Trans. Neural Networks Learn. Syst., 2025)