apratimbhattacharyya18.github.io domain details

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Qualcomm AI Research

I am a Machine Learning Researcher at Qualcomm AI Research. My research interests lie in the areas of Large Language Models, Generative Models and Bayesian Inference. Previously, I was a Postdoc at the University of Tuebingen working in the Autonomous Vision Group . Before that I was a PhD student at the Max Planck Institut für Informatik, Saarbrücken, advised by Dr. Bernt Schiele and Dr. Mario Fritz (My PhD thesis is available here ). I completed my Master’s Thesis at Saarland University under the supervis

Look, Remember and Reason: Visual Reasoning with Grounded Rationales, Technical Report, 2023. Paper KING: Generating Safety-Critical Driving Scenarios for Robust Imitation via Kinematics Gradients, European Conference on Computer Vision (ECCV), 2022 (oral). Paper | Project Page Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers, Computer Vision and Pattern Recognition (CVPR), 2021. Paper | Data | Code Normalizing Flows with Multi-scale Autoregressive Priors, Computer Vision and Pattern Recogni

Links to apratimbhattacharyya18.github.io (5)

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