Real-time object recognition and orientation estimation using an event-based camera and CNN. - Rohan Ghosh; Abhishek Mishra; Garrick Orchard; Nitish V. Thakor (BioCAS, 2014)

A neurally inspired robotic control algorithm for gait rehabilitation in hemiplegic stroke patients. - Abhishek Mishra; Rohan Ghosh; Martina Coscia; Sunil L. Kukreja; Carmelo Chisari; Silvestro Micera; Haoyong Yu; Nitish V. Thakor (BioRob, 2014)

Depth estimation and object recognition in dark environments using ATIS. - Rohan Ghosh; Abhishek Mishra; Haoyong Yu; Nitish V. Thakor (ICARCV, 2014)

Stable force-myographic control of a prosthetic hand using incremental learning. - Mahdi Rasouli; Rohan Ghosh; Wang Wei Lee; Nitish V. Thakor; Sunil L. Kukreja (EMBC, 2015)

Orientation estimation and grasp type detection of household objects for upper limb prostheses with dynamic vision sensor. - Siyi Tang; Rohan Ghosh; Nitish V. Thakor; Sunil L. Kukreja (BioCAS, 2016)

Live demonstration: Real-time orientation estimation and grasping of household objects for upper limb prostheses with a dynamic vision sensor. - Siyi Tang; Rohan Ghosh; Nitish V. Thakor; Sunil L. Kukreja (BioCAS, 2016)

Real-time robot tracking and following with neuromorphic vision sensor. - Abhishek Mishra; Rohan Ghosh; Ashish Goyal; Nitish V. Thakor; Sunil L. Kukreja (BioRob, 2016)

Design and preliminary evaluation of haptic devices for upper limb stimulation and integration within a virtual reality cave. - Francesca Sorgini; Rohan Ghosh; Justus F. Hübotter; Renato Caliò; Carmen Galassi; Calogero Maria Oddo; Sunil L. Kukreja (BioRob, 2016)

Pose-Invariant Object Recognition for Event-Based Vision with Slow-ELM. - Rohan Ghosh; Siyi Tang; Mahdi Rasouli; Nitish V. Thakor; Sunil L. Kukreja (ICANN (2), 2016)

A Propose System of an Efficient Power Regeneration Technique in Automobile Using Arduino UNO. - Debabrata Chowdhury; Sudipta Paul 006; Rohan Ghosh; Anusree Kundu; Tamoghna Ghosh (CICBA (1), 2018)

A Neuromorphic Approach to Tactile Texture Recognition. - Anupam K. Gupta; Rohan Ghosh; Aravindh Natarajan Swaminathan; Balakrishna Deverakonda; Godwin Ponraj; Alcimar B. Soares; Nitish V. Thakor (ROBIO, 2018)

Exploring Local Transformation Shared Weights in Convolutional Neural Networks. - Rohan Ghosh; Anupam K. Gupta (ICANN (Workshop), 2019)

Investigating Convolutional Neural Networks using Spatial Orderness. - Rohan Ghosh; Anupam K. Gupta; Mehul Motani (ICCV Workshops, 2019)

Neuromorphic vision and tactile fusion for upper limb prosthesis control. - Mark Hays; Luke Osborn; Rohan Ghosh; Mark M. Iskarous; Christopher L. Hunt; Nitish V. Thakor (NER, 2019)

Spatiotemporal Feature Learning for Event-Based Vision. - Rohan Ghosh; Anupam K. Gupta; Siyi Tang; Alcimar Soares; Nitish V. Thakor (CoRR, 2019)

Spatiotemporal Filtering for Event-Based Action Recognition. - Rohan Ghosh; Anupam Gupta 006; Andrei Nakagawa Silva; Alcimar Soares; Nitish V. Thakor (CoRR, 2019)

Scale Steerable Filters for Locally Scale-Invariant Convolutional Neural Networks. - Rohan Ghosh; Anupam K. Gupta (CoRR, 2019)

Investigating Convolutional Neural Networks using Spatial Orderness. - Rohan Ghosh; Anupam K. Gupta (CoRR, 2019)

Neuromorphic approach to tactile edge orientation estimation using spatiotemporal similarity. - Deepesh Kumar; Rohan Ghosh; Andrei Nakagawa Silva; Alcimar B. Soares; Nitish V. Thakor (Neurocomputing, 2020)

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

Achieving Low Complexity Neural Decoders via Iterative Pruning. - Vikrant Malik; Rohan Ghosh; Mehul Motani (CoRR, 2021)

Understanding Deep Neural Networks Using Sliced Mutual Information. - Shelvia Wongso; Rohan Ghosh; Mehul Motani (ISIT, 2022)

Towards Better Long-range Time Series Forecasting using Generative Forecasting. - Shiyu Liu; Rohan Ghosh; Mehul Motani (CoRR, 2022)

AP: Selective Activation for De-sparsifying Pruned Neural Networks. - Shiyu Liu; Rohan Ghosh; Dylan Tan; Mehul Motani (CoRR, 2022)

Local Intrinsic Dimensional Entropy. - Rohan Ghosh; Mehul Motani (AAAI, 2023)

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

Pointwise Sliced Mutual Information for Neural Network Explainability. - Shelvia Wongso; Rohan Ghosh; Mehul Motani (ISIT, 2023)

AP: Selective Activation for De-sparsifying Pruned Networks. - Shiyu Liu; Rohan Ghosh; Mehul Motani (Trans. Mach. Learn. Res., 2023)

Optimizing Learning Rate Schedules for Iterative Pruning of Deep Neural Networks. - Shiyu Liu; Rohan Ghosh; Chong Min John Tan; Mehul Motani (Trans. Mach. Learn. Res., 2023)

Multi-Task Generalizable Communication: Beyond the Information Bottleneck. - Cheuk Ting Leung; Rohan Ghosh; Mehul Motani (ICC, 2024)

Ordered V-information Growth: A Fresh Perspective on Shared Information. - Rohan Ghosh; Mehul Motani (AISTATS, 2025)

Towards Robust Scale-Invariant Mutual Information Estimators. - Cheuk Ting Leung; Rohan Ghosh; Mehul Motani (Trans. Mach. Learn. Res., 2025)