publications

Papers, workshops, and preprints. Venue is highlighted; preprints and under-review work are labeled explicitly.

This list includes archival publications, workshop papers, and ongoing work. Entries marked as Preprint or Under review are works in progress.

Selected

  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

Full List

2025

  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. HawkesNest: A Multi-Axis Benchmark for Spatio-Temporal Pattern Complexity
    Yahya Aalaila, Sumantrak Mukherjee, Gerrit Grossmann, and 1 more author
    ECML, 2025
    Under review
  3. 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
  4. 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
  5. 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
  6. 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
  7. When Counterfactual Reasoning Fails: Chaos and Real-World Complexity
    Yahya Aalaila, Gerrit Grossmann, Sumantrak Mukherjee, and 2 more authors
    Scientific Reports, 2025
    Under review
  8. Had enough of experts? Elicitation and evaluation of Bayesian priors from large language models
    David Selby, Kai Spriestersbach, Yuichiro Iwashita, and 6 more authors
    STAT, 2025
    2025; earlier workshop version at NeurIPS BDU 2024

2024

  1. STCausal
    Peculiarities of Counterfactual Point Process Generation
    Gerrit Grossmann, Sumantrak Mukherjee, and Sebastian Vollmer
    In STCausal Workshop at ACM SIGSPATIAL, 2024
    Workshop paper, 2024
  2. BDU
    Graph Agnostic Causal Bayesian Optimisation
    Sumantrak Mukherjee, Mengyan Zhang, Seth Flaxman, and 1 more author
    In NeurIPS BDU Workshop, 2024
    Workshop paper, 2024

2022

  1. DSHealth
    Flexible Group Fairness Metrics for Survival Analysis
    Raphael Sonabend, Florian Pfisterer, Alan Mishler, and 4 more authors
    In DSHealth, 2022
    Workshop paper, 2022