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Udita Ghosh I am a third-year Ph.D. student in the Vision and Learning Group at the University of California, Riverside, under the supervision of Dr. Amit K. Roy-Chowdhury. My PhD research focuses on developing sample-efficient algorithms for sequential decision-making agents, with particular emphasis on offline imitation learning and preference-based learning. Additionally, I explore robust uncertainty quantification methods and investigate how large foundation models can enhance planning capabilities in autonomous systems. Prior to my doctoral studies, I worked as a data scientist for three years after earning my Master's in Computer Science from the Indian Statistical Institute. Email / CV / Google Scholar / LinkedIn / GitHub |
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April 2025: Paper accepted at TMLR! Feb 2025: Paper accepted at CVPR 2025! |
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Udita Ghosh, Dripta S Raychaudhuri, Jiachen Li, Konstantinos Karydis and Amit K. Roy-Chowdhury Under review, 2025 |
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Udita Ghosh, Dripta S Raychaudhuri, Jiachen Li, Konstantinos Karydis and Amit K. Roy-Chowdhury Transactions on Machine Learning Research (TMLR), 2025 |
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Sayak Nag, Udita Ghosh, Calvin-Khang Ta, Sarosij Bose, Jiachen Li and Amit K. Roy-Chowdhury IEEE/CVF Conference on Computer Vision and Pattern Recognition,, 2025 |
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Bikash Santra*, Udita Ghosh* and Dipti Prasad Mukherjee Pattern Recognition, 2022 |
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Mayukh Bhattacharyya, Sayan Nag and Udita Ghosh Thirty-First International Joint Conference on Artificial Intelligence, 2022 |
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