| 2026 | AAAI | Tab-PET: Graph-Based Positional Encodings for Tabular Transformers. | Yunze Leng, Rohan Ghosh, Mehul Motani |
| 2025 | AISTATS | Ordered | Rohan Ghosh, Mehul Motani |
| 2025 | ICML | Pointwise Information Measures as Confidence Estimators in Deep Neural Networks: A Comparative Study. | Shelvia Wongso, Rohan Ghosh, Mehul Motani |
| 2023 | AAAI | Local Intrinsic Dimensional Entropy. | Rohan Ghosh, Mehul Motani |
| 2023 | AISTATS | Using Sliced Mutual Information to Study Memorization and Generalization in Deep Neural Networks. | Shelvia Wongso, Rohan Ghosh, Mehul Motani |
| 2023 | ISIT | Pointwise Sliced Mutual Information for Neural Network Explainability. | Shelvia Wongso, Rohan Ghosh, Mehul Motani |
| 2022 | ISIT | Understanding Deep Neural Networks Using Sliced Mutual Information. | Shelvia Wongso, Rohan Ghosh, Mehul Motani |
| 2019 | ICANN | Exploring Local Transformation Shared Weights in Convolutional Neural Networks. | Rohan Ghosh, Anupam K. Gupta |
| 2016 | ICANN | Pose-Invariant Object Recognition for Event-Based Vision with Slow-ELM. | Rohan Ghosh, Siyi Tang, Mahdi Rasouli, Nitish V. Thakor, Sunil L. Kukreja |
| 2014 | ICARCV | Depth estimation and object recognition in dark environments using ATIS. | Rohan Ghosh, Abhishek Mishra, Haoyong Yu, Nitish V. Thakor |