Sumantrak Mukherjee

Junior Researcher at DFKI, Data Science and its Applications

Research

I work on multi-armed bandits, uncertainty quantification, and sample-efficient decision-making under limited feedback.

I am currently a Junior Researcher at DFKI in the Data Science and its Applications group, where I work under Prof. Sebastian Vollmer. I graduated from BITS Pilani in 2023 with a degree in Electronics and Instrumentation Engineering. Outside research, I like watching and discussing movies, travelling, and cooking new dishes when I am not too tired. I also keep a quiet acknowledgments page for people who have been especially kind to me.

selected publications

  1. CausScien
    CLAM: Causal Spatial Disaggregation to Infer Local Effects From Coarse Data
    Sumantrak Mukherjee, Gerrit Grossmann, and Sebastian Vollmer
    In NeurIPS CausScien Workshop, 2025
    Workshop paper, 2025
  2. DiffSys
    SQUID: A Bayesian Approach for Physics-Informed Event Modeling
    Sumantrak Mukherjee, Sebastian Vollmer, and Gerrit Grossmann
    In EurIPS DiffSys Workshop, 2025
    Workshop paper, 2025
  3. Preprint
    Co-Exploration and Co-Exploitation via Shared Structure in Multi-Task Bandits
    Sumantrak Mukherjee, Serafima Lebedeva, Valentin Margraf, and 7 more authors
    2025
    Preprint
  4. Neural Spatio Temporal Point Processes: Trends and Challenges
    Sumantrak Mukherjee, Mouad Elhamdi, George Mohler, and 4 more authors
    Transactions on Machine Learning Research, 2025
    2025
  5. X Hacking: The Threat of Misguided AutoML
    Rahul Sharma, Sumantrak Mukherjee, Sergey Redyuk, and 3 more authors
    In International Conference on Machine Learning, 2025
    2025
  6. BDU
    Graph Agnostic Causal Bayesian Optimisation
    Sumantrak Mukherjee, Mengyan Zhang, Seth Flaxman, and 1 more author
    In NeurIPS BDU Workshop, 2024
    Workshop paper, 2024

news

Mar 15, 2026 This website is now live in its first personalized version.
Dec 14, 2025 Released the preprint Co-Exploration and Co-Exploitation via Shared Structure in Multi-Task Bandits.
Dec 06, 2025 Presented CLAM: Causal Spatial Disaggregation to Infer Local Effects From Coarse Data at the NeurIPS 2025 CauScien workshop.