Ghosh, Rohan

9 publications

AISTATS 2025 Ordered $\mathcal{V}$-Information Growth: A Fresh Perspective on Shared Information Rohan Ghosh, Mehul Motani

ICML 2025 Pointwise Information Measures as Confidence Estimators in Deep Neural Networks: A Comparative Study Shelvia Wongso, Rohan Ghosh, Mehul Motani

TMLR 2025 Towards Robust Scale-Invariant Mutual Information Estimators Cheuk Ting Leung, Rohan Ghosh, Mehul Motani

TMLR 2023 AP: Selective Activation for De-Sparsifying Pruned Networks Shiyu Liu, Rohan Ghosh, Mehul Motani

AAAI 2023 Local Intrinsic Dimensional Entropy Rohan Ghosh, Mehul Motani

TMLR 2023 Optimizing Learning Rate Schedules for Iterative Pruning of Deep Neural Networks Shiyu Liu, Rohan Ghosh, John Chong Min Tan, Mehul Motani

AISTATS 2023 Using Sliced Mutual Information to Study Memorization and Generalization in Deep Neural Networks Shelvia Wongso, Rohan Ghosh, Mehul Motani

NeurIPS 2021 Network-to-Network Regularization: Enforcing Occam's Razor to Improve Generalization Rohan Ghosh, Mehul Motani

ICCVW 2019 Investigating Convolutional Neural Networks Using Spatial Orderness Rohan Ghosh, Anupam K. Gupta, Mehul Motani