publications

1. causal learning

   Linear-LLM-SCM: Benchmarking LLMs for Coefficient Elicitation in Linear-Gaussian Causal Models

   Kanta Yamaoka, Sumantrak Mukherjee, Thomas Gärtner, and 5 more authors

   2026

   Bib Paper

   @misc{yamaoka2026linearllmscm,
     title = {Linear-LLM-SCM: Benchmarking LLMs for Coefficient Elicitation in Linear-Gaussian Causal Models},
     author = {Yamaoka, Kanta and Mukherjee, Sumantrak and G{\"a}rtner, Thomas and Selby, David A. and Konigorski, Stefan and H{\"u}llermeier, Eyke and Bengs, Viktor and Vollmer, Sebastian Josef},
     year = {2026},
     themes = {causal_learning},
     note = {Preprint},
   }

2. causal learning

   CLAM: Causal Spatial Disaggregation to Infer Local Effects From Coarse Data

   Gerrit Großmann^*, Sumantrak Mukherjee^*, and Sebastian Josef Vollmer

   * joint first authors

   In NeurIPS 2025 Workshop on CauScien: Uncovering Causality in Science, 2025

   Bib Paper

   @inproceedings{grossmann2025clam,
     title = {CLAM: Causal Spatial Disaggregation to Infer Local Effects From Coarse Data},
     author = {Gro{\ss}mann, Gerrit and Mukherjee, Sumantrak and Vollmer, Sebastian Josef},
     booktitle = {NeurIPS 2025 Workshop on CauScien: Uncovering Causality in Science},
     year = {2025},
     themes = {causal_learning},
     note = {Workshop paper, 2025},
     author_note = {* joint first authors},
   }

3. event modeling

   SQUID: A Bayesian Approach for Physics-Informed Event Modeling

   Sumantrak Mukherjee, Sebastian Vollmer, and Gerrit Grossmann

   In EurIPS DiffSys Workshop, 2025

   Bib Paper

   @inproceedings{mukherjee2025squid,
     title = {SQUID: A Bayesian Approach for Physics-Informed Event Modeling},
     author = {Mukherjee, Sumantrak and Vollmer, Sebastian and Grossmann, Gerrit},
     booktitle = {EurIPS DiffSys Workshop},
     year = {2025},
     themes = {event_modeling},
     note = {Workshop paper, 2025},
   }

4. bandits + uq

   Co-Exploration and Co-Exploitation via Shared Structure in Multi-Task Bandits

   Sumantrak Mukherjee, Serafima Lebedeva, Valentin Margraf, and 7 more authors

   2025

   Bib Paper

   @misc{mukherjee2025multitaskbandits,
     title = {Co-Exploration and Co-Exploitation via Shared Structure in Multi-Task Bandits},
     author = {Mukherjee, Sumantrak and Lebedeva, Serafima and Margraf, Valentin and Hanselle, Jonas and Yamaoka, Kanta and Bengs, Viktor and Bhalwankar, Raj and Neigel, Peter and Hullermeier, Eyke and Vollmer, Sebastian Josef},
     year = {2025},
     themes = {bandits_uq},
     note = {Preprint},
   }

5. event modeling

   Neural Spatio Temporal Point Processes: Trends and Challenges

   Sumantrak Mukherjee, Mouad Elhamdi, George Mohler, and 4 more authors

   Transactions on Machine Learning Research, 2025

   Bib Paper

   @article{mukherjee2025nstpp,
     title = {Neural Spatio Temporal Point Processes: Trends and Challenges},
     author = {Mukherjee, Sumantrak and Elhamdi, Mouad and Mohler, George and Selby, David A. and Xie, Yao and Vollmer, Sebastian and Grossmann, Gerrit},
     journal = {Transactions on Machine Learning Research},
     year = {2025},
     themes = {event_modeling},
     note = {2025},
   }

6. adjacent interests

   X Hacking: The Threat of Misguided AutoML

   Rahul Sharma, Sumantrak Mukherjee, Sergey Redyuk, and 3 more authors

   In International Conference on Machine Learning, 2025

   Bib Paper

   @inproceedings{sharma2025xhacking,
     title = {X Hacking: The Threat of Misguided AutoML},
     author = {Sharma, Rahul and Mukherjee, Sumantrak and Redyuk, Sergey and Sipka, Andrea and Vollmer, Sebastian and Selby, David A.},
     booktitle = {International Conference on Machine Learning},
     year = {2025},
     themes = {adjacent_interests},
     note = {2025},
   }

7. causal learning

   Graph Agnostic Causal Bayesian Optimisation

   Sumantrak Mukherjee^*, Mengyan Zhang^*, Seth Flaxman, and 1 more author

   * joint first authors

   In NeurIPS BDU Workshop, 2024

   Bib Paper

   @inproceedings{mukherjee2024gacbo,
     title = {Graph Agnostic Causal Bayesian Optimisation},
     author = {Mukherjee, Sumantrak and Zhang, Mengyan and Flaxman, Seth and Vollmer, Sebastian},
     booktitle = {NeurIPS BDU Workshop},
     year = {2024},
     themes = {causal_learning},
     note = {Workshop paper, 2024},
     author_note = {* joint first authors},
   }

2026

1. causal learning

   Linear-LLM-SCM: Benchmarking LLMs for Coefficient Elicitation in Linear-Gaussian Causal Models

   Kanta Yamaoka, Sumantrak Mukherjee, Thomas Gärtner, and 5 more authors

   2026

   Bib Paper

   @misc{yamaoka2026linearllmscm,
     title = {Linear-LLM-SCM: Benchmarking LLMs for Coefficient Elicitation in Linear-Gaussian Causal Models},
     author = {Yamaoka, Kanta and Mukherjee, Sumantrak and G{\"a}rtner, Thomas and Selby, David A. and Konigorski, Stefan and H{\"u}llermeier, Eyke and Bengs, Viktor and Vollmer, Sebastian Josef},
     year = {2026},
     themes = {causal_learning},
     note = {Preprint},
   }

2025

1. causal learning

   CLAM: Causal Spatial Disaggregation to Infer Local Effects From Coarse Data

   Gerrit Großmann^*, Sumantrak Mukherjee^*, and Sebastian Josef Vollmer

   * joint first authors

   In NeurIPS 2025 Workshop on CauScien: Uncovering Causality in Science, 2025

   Bib Paper

   @inproceedings{grossmann2025clam,
     title = {CLAM: Causal Spatial Disaggregation to Infer Local Effects From Coarse Data},
     author = {Gro{\ss}mann, Gerrit and Mukherjee, Sumantrak and Vollmer, Sebastian Josef},
     booktitle = {NeurIPS 2025 Workshop on CauScien: Uncovering Causality in Science},
     year = {2025},
     themes = {causal_learning},
     note = {Workshop paper, 2025},
     author_note = {* joint first authors},
   }

2. event modeling

   HawkesNest: A Multi-Axis Benchmark for Spatio-Temporal Pattern Complexity

   Yahya Aalaila, Sumantrak Mukherjee, Gerrit Grossmann, and 1 more author

   ECML, 2025

   Bib

   @article{aalaila2025hawkesnest,
     title = {HawkesNest: A Multi-Axis Benchmark for Spatio-Temporal Pattern Complexity},
     author = {Aalaila, Yahya and Mukherjee, Sumantrak and Grossmann, Gerrit and Vollmer, Sebastian},
     journal = {ECML},
     year = {2025},
     themes = {event_modeling},
     note = {Under review},
   }

3. event modeling

   SQUID: A Bayesian Approach for Physics-Informed Event Modeling

   Sumantrak Mukherjee, Sebastian Vollmer, and Gerrit Grossmann

   In EurIPS DiffSys Workshop, 2025

   Bib Paper

   @inproceedings{mukherjee2025squid,
     title = {SQUID: A Bayesian Approach for Physics-Informed Event Modeling},
     author = {Mukherjee, Sumantrak and Vollmer, Sebastian and Grossmann, Gerrit},
     booktitle = {EurIPS DiffSys Workshop},
     year = {2025},
     themes = {event_modeling},
     note = {Workshop paper, 2025},
   }

4. bandits + uq

   Co-Exploration and Co-Exploitation via Shared Structure in Multi-Task Bandits

   Sumantrak Mukherjee, Serafima Lebedeva, Valentin Margraf, and 7 more authors

   2025

   Bib Paper

   @misc{mukherjee2025multitaskbandits,
     title = {Co-Exploration and Co-Exploitation via Shared Structure in Multi-Task Bandits},
     author = {Mukherjee, Sumantrak and Lebedeva, Serafima and Margraf, Valentin and Hanselle, Jonas and Yamaoka, Kanta and Bengs, Viktor and Bhalwankar, Raj and Neigel, Peter and Hullermeier, Eyke and Vollmer, Sebastian Josef},
     year = {2025},
     themes = {bandits_uq},
     note = {Preprint},
   }

5. event modeling

   Neural Spatio Temporal Point Processes: Trends and Challenges

   Sumantrak Mukherjee, Mouad Elhamdi, George Mohler, and 4 more authors

   Transactions on Machine Learning Research, 2025

   Bib Paper

   @article{mukherjee2025nstpp,
     title = {Neural Spatio Temporal Point Processes: Trends and Challenges},
     author = {Mukherjee, Sumantrak and Elhamdi, Mouad and Mohler, George and Selby, David A. and Xie, Yao and Vollmer, Sebastian and Grossmann, Gerrit},
     journal = {Transactions on Machine Learning Research},
     year = {2025},
     themes = {event_modeling},
     note = {2025},
   }

6. adjacent interests

   X Hacking: The Threat of Misguided AutoML

   Rahul Sharma, Sumantrak Mukherjee, Sergey Redyuk, and 3 more authors

   In International Conference on Machine Learning, 2025

   Bib Paper

   @inproceedings{sharma2025xhacking,
     title = {X Hacking: The Threat of Misguided AutoML},
     author = {Sharma, Rahul and Mukherjee, Sumantrak and Redyuk, Sergey and Sipka, Andrea and Vollmer, Sebastian and Selby, David A.},
     booktitle = {International Conference on Machine Learning},
     year = {2025},
     themes = {adjacent_interests},
     note = {2025},
   }

7. event modeling

   When Counterfactual Reasoning Fails: Chaos and Real-World Complexity

   Yahya Aalaila, Gerrit Grossmann, Sumantrak Mukherjee, and 2 more authors

   Scientific Reports, 2025

   Bib Paper

   @article{aalaila2025counterfactualfails,
     title = {When Counterfactual Reasoning Fails: Chaos and Real-World Complexity},
     author = {Aalaila, Yahya and Grossmann, Gerrit and Mukherjee, Sumantrak and Wahl, Jonas and Vollmer, Sebastian},
     journal = {Scientific Reports},
     year = {2025},
     themes = {event_modeling},
     note = {Under review}
   }

8. bandits + uq

   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

   Bib Paper

   @article{selby2025llmpriors,
     title = {Had enough of experts? Elicitation and evaluation of Bayesian priors from large language models},
     author = {Selby, David and Spriestersbach, Kai and Iwashita, Yuichiro and Bappert, Dennis and Warrier, Archana and Mukherjee, Sumantrak and Asim, Muhammad Nabeel and Kise, Koichi and Vollmer, Sebastian},
     journal = {STAT},
     year = {2025},
     themes = {bandits_uq},
     note = {2025; earlier workshop version at NeurIPS BDU 2024}
   }

2024

1. event modeling

   Peculiarities of Counterfactual Point Process Generation

   Gerrit Grossmann, Sumantrak Mukherjee, and Sebastian Vollmer

   In STCausal Workshop at ACM SIGSPATIAL, 2024

   Bib Paper

   @inproceedings{grossmann2024peculiarities,
     title = {Peculiarities of Counterfactual Point Process Generation},
     author = {Grossmann, Gerrit and Mukherjee, Sumantrak and Vollmer, Sebastian},
     booktitle = {STCausal Workshop at ACM SIGSPATIAL},
     year = {2024},
     themes = {event_modeling},
     note = {Workshop paper, 2024}
   }

2. causal learning

   Graph Agnostic Causal Bayesian Optimisation

   Sumantrak Mukherjee^*, Mengyan Zhang^*, Seth Flaxman, and 1 more author

   * joint first authors

   In NeurIPS BDU Workshop, 2024

   Bib Paper

   @inproceedings{mukherjee2024gacbo,
     title = {Graph Agnostic Causal Bayesian Optimisation},
     author = {Mukherjee, Sumantrak and Zhang, Mengyan and Flaxman, Seth and Vollmer, Sebastian},
     booktitle = {NeurIPS BDU Workshop},
     year = {2024},
     themes = {causal_learning},
     note = {Workshop paper, 2024},
     author_note = {* joint first authors},
   }

2022

1. adjacent interests

   Flexible Group Fairness Metrics for Survival Analysis

   Raphael Sonabend, Florian Pfisterer, Alan Mishler, and 4 more authors

   In DSHealth, 2022

   Bib Paper

   @inproceedings{sonabend2022survivalfairness,
     title = {Flexible Group Fairness Metrics for Survival Analysis},
     author = {Sonabend, Raphael and Pfisterer, Florian and Mishler, Alan and Schauer, Moritz and Burk, Lukas and Mukherjee, Sumantrak and Vollmer, Sebastian},
     booktitle = {DSHealth},
     year = {2022},
     themes = {adjacent_interests},
     note = {Workshop paper, 2022}
   }