Pradyumna YM

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I am a Machine Learning graduate student at the University of Tübingen, supported by the ELIZA Research-Oriented Master’s Scholarship. I am broadly interested in Computer Vision and Machine Learning, with experience in human pose estimation and domain adaptation.

Prior to my graduate studies, I worked as a Research Fellow at Microsoft Research India, contributing to projects in sign language technologies and programming with large language models. I have also conducted research at the Indian Institute of Science on self-supervised learning approaches for 3D human pose estimation, and gained industry experience as a software engineer at Apple.

selected publications

  1. arXiv
    PwR: Exploring the Role of Representations in Conversational Programming
    Pradyumna Y. M., V. Ganesan, D. K. Arumugam, M. Gupta, and 6 more authors
    arXiv, 2024
  2. CVPR
    Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation
    J. N. Kundu, S. Seth*, Pradyumna Y. M.*, V. Jampani, and 2 more authors
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
  3. CBDD
    Predicting Clinical Trial Outcomes Using Drug Bioactivities Through Graph Database Integration and Machine Learning
    V.* Murali, Pradyumna Y. M.*, C. Königs, M. Nair, and 3 more authors
    Chemical Biology & Drug Design, 2022