publications

2026

1. causal learning bandits + uq

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

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

   In Structured Data 4 Health Workshop at ICML, 2026

   Bib Paper

   @inproceedings{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},
     booktitle = {Structured Data 4 Health Workshop at ICML},
   }

2. bandits + uq

   Distributionally Robust Warm Start for a Population of Bandits

   Sumantrak Mukherjee, Debabrota Basu, Jasmin Brandt, and 3 more authors

   In European Workshop on Reinforcement Learning, 2026

   Bib Paper

   @inproceedings{mukherjee2026robustwarmstart,
     title = {Distributionally Robust Warm Start for a Population of Bandits},
     author = {Mukherjee, Sumantrak and Basu, Debabrota and Brandt, Jasmin and Bengs, Viktor and H{\"u}llermeier, Eyke and Vollmer, Sebastian Josef},
     booktitle = {European Workshop on Reinforcement Learning},
     year = {2026},
   }

3. bandits + uq

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

   Sumantrak Mukherjee, Serafima Lebedeva, Jasmin Brandt, and 7 more authors

   In European Workshop on Reinforcement Learning, 2026

   Bib Paper

   @inproceedings{mukherjee2026multitaskbandits,
     title = {Co-Exploration and Co-Exploitation via Shared Structure in Multi-Task Bandits},
     author = {Mukherjee, Sumantrak and Lebedeva, Serafima and Brandt, Jasmin and Margraf, Valentin and Hanselle, Jonas and Yamaoka, Kanta and Bengs, Viktor and Konigorski, Stefan and H{\"u}llermeier, Eyke and Vollmer, Sebastian Josef},
     booktitle = {European Workshop on Reinforcement Learning},
     year = {2026},
   }

4. causal learning event modeling

   Chaotic and complex dynamics expose the limits of counterfactual reasoning

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

   Scientific Reports, 2026

   DOI Bib Paper

   @article{aalaila2025counterfactualfails,
     title = {Chaotic and complex dynamics expose the limits of counterfactual reasoning},
     author = {Aalaila, Yahya and Gro{\ss}mann, Gerrit and Mukherjee, Sumantrak and Wahl, Jonas and Vollmer, Sebastian},
     journal = {Scientific Reports},
     volume = {16},
     pages = {16978},
     year = {2026},
     doi = {10.1038/s41598-026-52349-2},
   }

5. bandits + uq

   Challenges and Solutions for Bandits in the Wild: Warm-Started Mixture Bandits for Cross-Cohort Slate Recommendation

   Serafima Lebedeva, Sumantrak Mukherjee, A. A. Sadal, and 8 more authors

   * joint first authors

   Preprint, 2026

   Bib Paper

   @article{lebedeva2026warmstartedmixturebandits,
     title = {Challenges and Solutions for Bandits in the Wild: Warm-Started Mixture Bandits for Cross-Cohort Slate Recommendation},
     author = {Lebedeva, Serafima and Mukherjee, Sumantrak and Sadal, A. A. and Ek\c{s}i, I. and Sharma, R. and Mueller, J. and Dombrowski, T. and Karolus, J. and Bengs, Viktor and H{\"u}llermeier, Eyke and Vollmer, Sebastian Josef},
     journal = {Preprint},
     year = {2026},
     author_note = {* joint first authors},
   }

6. causal learning event modeling

   Rethinking Counterfactuals: Hidden Assumptions and Practical Pitfalls

   Gerrit Großmann, Yahya Aalaila, David A. Selby, and 3 more authors

   2026

   Bib Paper

   @misc{grossmann2026rethinkingcounterfactuals,
     title = {Rethinking Counterfactuals: Hidden Assumptions and Practical Pitfalls},
     author = {Gro{\ss}mann, Gerrit and Aalaila, Yahya and Selby, David A. and Mukherjee, Sumantrak and Vollmer, Sebastian and Wahl, Jonas},
     year = {2026},
   }

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 CausScien: 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 CausScien: Uncovering Causality in Science},
     year = {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

   Preprint, 2025

   Bib Paper

   @article{aalaila2025hawkesnest,
     title = {HawkesNest: A Multi-Axis Benchmark for Spatio-Temporal Pattern Complexity},
     author = {Aalaila, Yahya and Mukherjee, Sumantrak and Gro{\ss}mann, Gerrit and Vollmer, Sebastian},
     journal = {Preprint},
     year = {2025},
   }

3. event modeling

   SQUID: A Bayesian Approach for Physics-Informed Event Modeling

   Sumantrak Mukherjee, Sebastian Vollmer, and Gerrit Großmann

   In 1st Workshop on Differentiable Systems and Scientific Machine Learning @ NeurIPS 2025, 2025

   Bib Paper

   @inproceedings{mukherjee2025squid,
     title = {SQUID: A Bayesian Approach for Physics-Informed Event Modeling},
     author = {Mukherjee, Sumantrak and Vollmer, Sebastian and Gro{\ss}mann, Gerrit},
     booktitle = {1st Workshop on Differentiable Systems and Scientific Machine Learning @ NeurIPS 2025},
     year = {2025},
   }

4. event modeling

   Neural Spatiotemporal 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 Spatiotemporal 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 Gro{\ss}mann, Gerrit},
     journal = {Transactions on Machine Learning Research},
     year = {2025},
   }

5. adjacent interests

   X-Hacking: The Threat of Misguided AutoML

   Rahul Sharma, Sumantrak Mukherjee, Andrea Sipka, and 4 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 Sipka, Andrea and H{\"u}llermeier, Eyke and Vollmer, Sebastian Josef and Redyuk, Sergey and Selby, David A.},
     booktitle = {International Conference on Machine Learning},
     year = {2025},
   }

6. 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},
   }

2024

1. causal learning 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 = {Gro{\ss}mann, Gerrit and Mukherjee, Sumantrak and Vollmer, Sebastian},
     booktitle = {STCausal Workshop at ACM SIGSPATIAL},
     year = {2024},
   }

2. causal learning bandits + uq

   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},
     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},
   }