I'm currently a Visiting Scientist at Max Planck Institute for Intelligent Systems (MPI-IS), working on Confounding effects (generalization) in Deep Learning.
Interests:
Machine Learning (Robustness, Representations, Modularity), AI4Good.
Publications 🆔:
R. Rawal*, P. Pradhan*. Reliably Predicting from Imbalanced Satellite Data . CVPRW 2020
R. Rawal*, P. Pradhan*. Generalizing across (in)visible spectrum. Extreme Classification @ ICMLw 2020
P. Pradhan, M. Sarkar, D. Ghose. Smarter Prototyping for Neural Learning. NeurIPS 2019 Workshop (oral)
P. Pradhan. Machine Learning for Practitioners. 6th CiML Workshop @ NeurIPS 2019
M. Sarkar, P. Pradhan, D. Ghose. Planning Robot Motion using Deep Visual Prediction. ICAPS'19 (PlanRob)
Past Research Experience:
Istituto Italiano di Tecnologia-IIT Genoa, Indian Institute of Science (IISc Bangalore), TCS R&D (Innovation Labs), Robert-Bosch Centre (RBCCPS), IIT Bombay/Boeing
Background:
I did my Bachelor's in Aero/Astro Engineering, specializing in Computer Vision with a thesis on "Drones for Crisis Response".