Max Zimmer

Max Zimmer

My main research interests focus on enhancing the compute and memory efficiency of large Neural Networks through techniques like sparsity and quantization. Additionally, I work on Deep Learning for scientific discovery (AI4Science/AI4Math), on tackling sustainability challenges via Deep Learning, and on agentic AI and optimization. Previously, I also worked on Federated Learning and Explainable AI.

Contact

office
Room 3037 at ZIB
e-mail
homepage
maxzimmer.org
languages
German, English, and Italian

Curriculum vitae

since 2022
Member of BMS
since 2021
Researcher at ZIB
May 2026
Ph.D. in Mathematics at TUB
summer 2020 to 2021
Research Assistant at ZIB
Jun 2021
M.Sc. in Mathematics at TUB
Aug 2017
B.Sc. in Mathematics at TUB

Publications and preprints

Preprints and reports

  1. Pokutta, S., Spiegel, C., and Zimmer, M. (2020). Deep Neural Network Training with Frank-Wolfe. [arXiv] [summary] [code]
    [BibTeX]
    @misc{2020_PokuttaSpiegelZimmer_Frankwolfeneuralnetworks,
      archiveprefix = {arXiv},
      eprint = {2010.07243},
      arxiv = {arXiv:2010.07243},
      primaryclass = {cs.LG},
      author = {Pokutta, Sebastian and Spiegel, Christoph and Zimmer, Max},
      title = {Deep Neural Network Training with Frank-Wolfe},
      code = {https://github.com/ZIB-IOL/StochasticFrankWolfe},
      summary = {https://pokutta.com/blog/research/2020/11/11/NNFW.html},
      date = {2020-10-14}
    }
  2. Zimmer, M., Andoni, M., Spiegel, C., and Pokutta, S. (2023). PERP: Rethinking the Prune-Retrain Paradigm in the Era of LLMs. [arXiv] [code]
    [BibTeX]
    @misc{2023_ZimmerAndoniSpiegelPokutta_PerpPruneRetrain,
      archiveprefix = {arXiv},
      eprint = {2312.15230},
      arxiv = {arXiv:2312.15230},
      primaryclass = {cs.LG},
      author = {Zimmer, Max and Andoni, Megi and Spiegel, Christoph and Pokutta, Sebastian},
      title = {PERP: Rethinking the Prune-Retrain Paradigm in the Era of LLMs},
      code = {https://github.com/ZIB-IOL/PERP},
      date = {2023-12-23}
    }
  3. Mundinger, K., Zimmer, M., and Pokutta, S. (2024). Neural Parameter Regression for Explicit Representations of PDE Solution Operators. [arXiv]
    [BibTeX]
    @misc{2024_MundingerZimmerPokutta_Neuralparameterregression,
      archiveprefix = {arXiv},
      eprint = {2403.12764},
      arxiv = {arXiv:2403.12764},
      primaryclass = {cs.LG},
      author = {Mundinger, Konrad and Zimmer, Max and Pokutta, Sebastian},
      title = {Neural Parameter Regression for Explicit Representations of PDE Solution Operators},
      date = {2024-03-19}
    }
  4. Kuzinowicz, D., Lichocki, P., Mexi, G., Pfetsch, M., Pokutta, S., and Zimmer, M. (2025). Objective Coefficient Rounding and Almost Symmetries in Binary Programs. [arXiv]
    [BibTeX]
    @misc{2025_KuzinowiczEtAl_ObjectiveroundingSymmetries_2512-10507,
      archiveprefix = {arXiv},
      eprint = {2512.10507},
      arxiv = {arXiv:2512.10507},
      primaryclass = {math.OC},
      author = {Kuzinowicz, Dominik and Lichocki, Paweł and Mexi, Gioni and Pfetsch, Marc and Pokutta, Sebastian and Zimmer, Max},
      title = {Objective Coefficient Rounding and Almost Symmetries in Binary Programs},
      date = {2025-12-11}
    }
  5. Roux, C., Zimmer, M., d’Aspremont, A., and Pokutta, S. (2025). Don’t Be Greedy, Just Relax! Pruning LLMs via Frank-Wolfe. [arXiv]
    [BibTeX]
    @misc{2025_RouxZimmerDaspremontPokutta_Pruningfrankwolfe_2510-13713,
      archiveprefix = {arXiv},
      eprint = {2510.13713},
      arxiv = {arXiv:2510.13713},
      primaryclass = {cs.LG},
      author = {Roux, Christophe and Zimmer, Max and d'Aspremont, Alexandre and Pokutta, Sebastian},
      title = {Don't Be Greedy, Just Relax! Pruning LLMs via Frank-Wolfe},
      date = {2025-10-15}
    }
  6. Zimmer, M., Roux, C., Wagner, M., Hendrych, D., and Pokutta, S. (2025). SparseSwaps: Tractable LLM Pruning Mask Refinement at Scale. [arXiv]
    [BibTeX]
    @misc{2025_ZimmerEtAl_Sparseswapspruning_2512-10922,
      archiveprefix = {arXiv},
      eprint = {2512.10922},
      arxiv = {arXiv:2512.10922},
      primaryclass = {cs.LG},
      author = {Zimmer, Max and Roux, Christophe and Wagner, Moritz and Hendrych, Deborah and Pokutta, Sebastian},
      title = {SparseSwaps: Tractable LLM Pruning Mask Refinement at Scale},
      date = {2025-12-11}
    }
  7. Pauls, J., Schrödter, K., Ligensa, S., Schwartz, M., Turan, B., Zimmer, M., Saatchi, S., Pokutta, S., Ciais, P., and Gieseke, F. (2026). ECHOSAT: Estimating Canopy Height Over Space And Time. [arXiv]
    [BibTeX]
    @misc{2026_JanEtAl_EchosatCanopyheight_2602-21421,
      archiveprefix = {arXiv},
      eprint = {2602.21421},
      arxiv = {arXiv:2602.21421},
      primaryclass = {cs.CV},
      author = {Pauls, Jan and Schrödter, Karsten and Ligensa, Sven and Schwartz, Martin and Turan, Berkant and Zimmer, Max and Saatchi, Sassan and Pokutta, Sebastian and Ciais, Philippe and Gieseke, Fabian},
      title = {ECHOSAT: Estimating Canopy Height Over Space And Time},
      date = {2026-02-24}
    }
  8. Pelleriti, N., Nelaturu, S. H., Zhou, Z., Li, Z., Zimmer, M., Han, B., and Pokutta, S. (2026). What Do Evolutionary Coding Agents Evolve? [arXiv]
    [BibTeX]
    @misc{2026_PelleritiEtAl_Evotrace_2605-20086,
      archiveprefix = {arXiv},
      eprint = {2605.20086},
      arxiv = {arXiv:2605.20086},
      primaryclass = {cs.NE},
      author = {Pelleriti, Nico and Nelaturu, Sree Harsha and Zhou, Zhanke and Li, Zongze and Zimmer, Max and Han, Bo and Pokutta, Sebastian},
      title = {What Do Evolutionary Coding Agents Evolve?},
      date = {2026-05-19}
    }
  9. Pelleriti, N., Shiran, M., Martínez-Rubio, D., Zimmer, M., and Pokutta, S. (2026). Optimal Gradient-Norm Minimization in Non-Euclidean Hölder-Smooth Convex Optimization. [arXiv]
    [BibTeX]
    @misc{2026_PelleritiEtAl_GradientNormNonEuclidean_2609-01122,
      archiveprefix = {arXiv},
      eprint = {2609.01122},
      arxiv = {arXiv:2609.01122},
      primaryclass = {math.OC},
      author = {Pelleriti, Nico and Shiran, Maryam and Martínez-Rubio, David and Zimmer, Max and Pokutta, Sebastian},
      title = {Optimal Gradient-Norm Minimization in Non-Euclidean Hölder-Smooth Convex Optimization},
      date = {2026-09-01}
    }
  10. Schiekiera, L., Zimmer, M., Roux, C., Arnold, M., Pokutta, S., and Günther, F. (2026). LinearPFN: Amortized Variable Selection for Linear Models with Interactions. [arXiv]
    [BibTeX]
    @misc{2026_SchiekieraEtAl_LinearPFNVariableSelection_2610-06580,
      archiveprefix = {arXiv},
      eprint = {2610.06580},
      arxiv = {arXiv:2610.06580},
      primaryclass = {cs.LG},
      author = {Schiekiera, Louis and Zimmer, Max and Roux, Christophe and Arnold, Manuel and Pokutta, Sebastian and Günther, Fritz},
      title = {LinearPFN: Amortized Variable Selection for Linear Models with Interactions},
      date = {2026-10-05}
    }
  11. Urbano, A., Romero, D. W., Zimmer, M., and Pokutta, S. (2026). Neural Field Tokenizations with Hierarchy and Spatial Locality Priors. [arXiv]
    [BibTeX]
    @misc{2026_UrbanoRomeroZimmerPokutta_Neuralfieldtokenization_2606-08204,
      archiveprefix = {arXiv},
      eprint = {2606.08204},
      arxiv = {arXiv:2606.08204},
      primaryclass = {cs.LG},
      author = {Urbano, Alonso and Romero, David W. and Zimmer, Max and Pokutta, Sebastian},
      title = {Neural Field Tokenizations with Hierarchy and Spatial Locality Priors},
      date = {2026-06-06}
    }
  12. Wagner, M., Roux, C., Zimmer, M., and Pokutta, S. (2026). The KV-Surgeon: Compensation-Aware Offline KV-Cache Compaction. [arXiv]
    [BibTeX]
    @misc{2026_WagnerRouxZimmerPokutta_KVCacheCompaction_2610-25933,
      archiveprefix = {arXiv},
      eprint = {2610.25933},
      arxiv = {arXiv:2610.25933},
      primaryclass = {cs.LG},
      author = {Wagner, Moritz and Roux, Christophe and Zimmer, Max and Pokutta, Sebastian},
      title = {The KV-Surgeon: Compensation-Aware Offline KV-Cache Compaction},
      date = {2026-10-19}
    }
  13. Zhou, Z., Li, Z., Huang, W., Li, X., Cao, C., Feng, X., Lu, X., Hu, J., Xie, Y., Pelleriti, N., Liu, S., Lu, M., Zimmer, M., Miranda, B., Yao, J., Liu, B., Koyejo, S., Pokutta, S., and Han, B. (2026). AlphaDiana: A Measurement System for Agents in Verifiable Reasoning Tasks. [arXiv]
    [BibTeX]
    @misc{2026_ZhouEtAl_AlphaDianaVerifiableReasoning_2610-20675,
      archiveprefix = {arXiv},
      eprint = {2610.20675},
      arxiv = {arXiv:2610.20675},
      primaryclass = {cs.AI},
      author = {Zhou, Zhanke and Li, Zongze and Huang, Weikai and Li, Xuan and Cao, Chentao and Feng, Xiao and Lu, Xiangyu and Hu, Jinbo and Xie, Yi and Pelleriti, Nico and Liu, Shiyang and Lu, Menghan and Zimmer, Max and Miranda, Brando and Yao, Jiangchao and Liu, Bo and Koyejo, Sanmi and Pokutta, Sebastian and Han, Bo},
      title = {AlphaDiana: A Measurement System for Agents in Verifiable Reasoning Tasks},
      date = {2026-10-14}
    }
  14. Zimmer, M., Pelleriti, N., Roux, C., and Pokutta, S. (2026). The Agentic Researcher: A Practical Guide to AI-Assisted Research in Mathematics and Machine Learning. [arXiv]
    [BibTeX]
    @misc{2026_ZimmerPelleritiRouxPokutta_Airesearchframework_2603-15914,
      archiveprefix = {arXiv},
      eprint = {2603.15914},
      arxiv = {arXiv:2603.15914},
      primaryclass = {cs.LG},
      author = {Zimmer, Max and Pelleriti, Nico and Roux, Christophe and Pokutta, Sebastian},
      title = {The Agentic Researcher: A Practical Guide to AI-Assisted Research in Mathematics and Machine Learning},
      date = {2026-03-16}
    }
  15. Geiselmann, Z., Joswig, M., Kastner, L., Mundinger, K., Pokutta, S., Spiegel, C., Wack, M., and Zimmer, M. (2026). Limits of combinatorial patchworking. [arXiv]
    [BibTeX]
    @misc{2026_ZoeEtAl_Patchworkedcurves_2602-06888,
      archiveprefix = {arXiv},
      eprint = {2602.06888},
      arxiv = {arXiv:2602.06888},
      primaryclass = {math.AG},
      author = {Geiselmann, Zoe and Joswig, Michael and Kastner, Lars and Mundinger, Konrad and Pokutta, Sebastian and Spiegel, Christoph and Wack, Marcel and Zimmer, Max},
      title = {Limits of combinatorial patchworking},
      date = {2026-02-06}
    }

Conference contributions

  1. Wagner, M., Roux, C., Zimmer, M., and Pokutta, S. A Free Lunch in LLM Compression: Revisiting Retraining after Pruning. Advances in Neural Information Processing Systems, 39. To appear. Associated with NeurIPS 2026. [arXiv]
    [BibTeX]
    @inproceedings{2025_WagnerRouxZimmerPokutta_Llmpruningretraining_2510-14444,
      booktitle = {Advances in Neural Information Processing Systems},
      series = {Advances in Neural Information Processing Systems},
      volume = {39},
      publisher = {Curran Associates},
      note = {To appear},
      archiveprefix = {arXiv},
      eprint = {2510.14444},
      arxiv = {arXiv:2510.14444},
      primaryclass = {cs.LG},
      author = {Wagner, Moritz and Roux, Christophe and Zimmer, Max and Pokutta, Sebastian},
      title = {A Free Lunch in LLM Compression: Revisiting Retraining after Pruning}
    }
  2. Koshizuka, T., Blessing, D., Zimmer, M., Pokutta, S., and Richter, L. A Trust Region Approach for Learning Schrödinger Bridges. Advances in Neural Information Processing Systems, 39. To appear. Associated with NeurIPS 2026.
    [BibTeX]
    @inproceedings{2026_KoshizukaEtAl_TrustregionSchrodingerbridges,
      booktitle = {Advances in Neural Information Processing Systems},
      series = {Advances in Neural Information Processing Systems},
      volume = {39},
      publisher = {Curran Associates},
      note = {To appear},
      author = {Koshizuka, Takeshi and Blessing, Denis and Zimmer, Max and Pokutta, Sebastian and Richter, Lorenz},
      title = {A Trust Region Approach for Learning Schrödinger Bridges}
    }
  3. Geiselmann, Z., Joswig, M., Kastner, L., Mundinger, K., Pokutta, S., Spiegel, C., Wack, M., and Zimmer, M. (2027). Fast Isotopy Computation for T-Curves. Mathematical Software – ICMS 2026, 16677. To appear. Associated with ICMS 2026. [URL] [arXiv]
    [BibTeX]
    @inproceedings{2026_ZoeEtAl_Isotopytcurves_2604-09221,
      year = {2027},
      booktitle = {Mathematical Software – ICMS 2026},
      series = {Lecture Notes in Computer Science},
      volume = {16677},
      publisher = {Springer Science+Business Media},
      note = {To appear},
      url = {https://icms-conference.org/2026/papers/paper32/main.pdf},
      archiveprefix = {arXiv},
      eprint = {2604.09221},
      arxiv = {arXiv:2604.09221},
      primaryclass = {math.AG},
      author = {Geiselmann, Zoe and Joswig, Michael and Kastner, Lars and Mundinger, Konrad and Pokutta, Sebastian and Spiegel, Christoph and Wack, Marcel and Zimmer, Max},
      title = {Fast Isotopy Computation for T-Curves}
    }
  4. Muhtar, D., Song, X., Pokutta, S., Zimmer, M., Pelleriti, N., Hofmann, T., and Liu, S. (2026). When Does Sparsity Mitigate the Curse of Depth in LLMs. Proceedings of the 43rd International Conference on Machine Learning, 306. Associated with ICML 2026. [arXiv]
    [BibTeX]
    @inproceedings{2026_DilxatEtAl_Sparsitydepthllms_2603-15389,
      year = {2026},
      booktitle = {Proceedings of the 43rd International Conference on Machine Learning},
      series = {Proceedings of Machine Learning Research},
      volume = {306},
      month = jul,
      archiveprefix = {arXiv},
      eprint = {2603.15389},
      arxiv = {arXiv:2603.15389},
      primaryclass = {cs.CL},
      author = {Muhtar, Dilxat and Song, Xinyuan and Pokutta, Sebastian and Zimmer, Max and Pelleriti, Nico and Hofmann, Thomas and Liu, Shiwei},
      title = {When Does Sparsity Mitigate the Curse of Depth in LLMs}
    }
  5. Halbey, J., Deza, D., Zimmer, M., Roux, C., Stellato, B., and Pokutta, S. (2026). Lower Bounds for Frank-Wolfe on Strongly Convex Sets. Proceedings of the 43rd International Conference on Machine Learning, 306. Associated with ICML 2026. [arXiv]
    [BibTeX]
    @inproceedings{2026_HalbeyEtAl_Lowerboundsfrankwolfe_2602-04378,
      year = {2026},
      booktitle = {Proceedings of the 43rd International Conference on Machine Learning},
      series = {Proceedings of Machine Learning Research},
      volume = {306},
      month = jul,
      archiveprefix = {arXiv},
      eprint = {2602.04378},
      arxiv = {arXiv:2602.04378},
      primaryclass = {math.OC},
      author = {Halbey, Jannis and Deza, Daniel and Zimmer, Max and Roux, Christophe and Stellato, Bartolomeo and Pokutta, Sebastian},
      title = {Lower Bounds for Frank-Wolfe on Strongly Convex Sets}
    }
  6. Schiekiera, L., Zimmer, M., Roux, C., Pokutta, S., and Günther, F. (2026). From Associations to Activations: Comparing Behavioral and Hidden-State Semantic Geometry in LLMs. Proceedings of the 43rd International Conference on Machine Learning, 306. Associated with ICML 2026. [arXiv]
    [BibTeX]
    @inproceedings{2026_LouisEtAl_Behavioralgeometry_2602-00628,
      year = {2026},
      booktitle = {Proceedings of the 43rd International Conference on Machine Learning},
      series = {Proceedings of Machine Learning Research},
      volume = {306},
      month = jul,
      archiveprefix = {arXiv},
      eprint = {2602.00628},
      arxiv = {arXiv:2602.00628},
      primaryclass = {cs.LG},
      author = {Schiekiera, Louis and Zimmer, Max and Roux, Christophe and Pokutta, Sebastian and Günther, Fritz},
      title = {From Associations to Activations: Comparing Behavioral and Hidden-State Semantic Geometry in LLMs}
    }
  7. Urbano, A., Romero, D. W., Zimmer, M., and Pokutta, S. (2026, January). RECON: Robust symmetry discovery via Explicit Canonical Orientation Normalization. International Conference on Learning Representations 2026. Associated with ICLR 2026. [arXiv]
    [BibTeX]
    @inproceedings{2025_UrbanoWZimmerPokutta_Reconsymmetrydiscovery,
      year = {2026},
      booktitle = {International Conference on Learning Representations 2026},
      publisher = {ICLR (OpenReview)},
      month = jan,
      archiveprefix = {arXiv},
      eprint = {2505.13289},
      arxiv = {arXiv:2505.13289},
      primaryclass = {cs.LG},
      author = {Urbano, Alonso and Romero, David W. and Zimmer, Max and Pokutta, Sebastian},
      title = {RECON: Robust symmetry discovery via Explicit Canonical Orientation Normalization}
    }
  8. Pelleriti, N., Spiegel, C., Liu, S., Martínez-Rubio, D., Zimmer, M., and Pokutta, S. (2026). Neural Sum-of-Squares: Certifying the Nonnegativity of Polynomials with Transformers. International Conference on Learning Representations 2026. Associated with ICLR 2026. [URL] [arXiv]
    [BibTeX]
    @inproceedings{2025_PelleritiEtAl_Neuralsos_2510-13444,
      year = {2026},
      booktitle = {International Conference on Learning Representations 2026},
      publisher = {ICLR (OpenReview)},
      url = {https://proceedings.iclr.cc/paper_files/paper/2026/hash/1cfb3b066461f1c542be5242a622ce4b-Abstract-Conference.html},
      archiveprefix = {arXiv},
      eprint = {2510.13444},
      arxiv = {arXiv:2510.13444},
      primaryclass = {cs.LG},
      author = {Pelleriti, Nico and Spiegel, Christoph and Liu, Shiwei and Martínez-Rubio, David and Zimmer, Max and Pokutta, Sebastian},
      title = {Neural Sum-of-Squares: Certifying the Nonnegativity of Polynomials with Transformers}
    }
  9. Pelleriti, N., Nelaturu, S. H., Zhou, Z., Li, Z., Zimmer, M., Han, B., and Pokutta, S. (2026). What Do Evolutionary Coding Agents Evolve? Accepted at NeurIPS 2026 Workshop on Self-Evolving Diversity-Driven Search for Robust AI Systems. [arXiv]
    [BibTeX]
    @misc{2026_PelleritiEtAl_Evotrace_2605-20086:1,
      howpublished = {Accepted at NeurIPS 2026 Workshop on Self-Evolving Diversity-Driven Search for Robust AI Systems},
      year = {2026},
      archiveprefix = {arXiv},
      eprint = {2605.20086},
      arxiv = {arXiv:2605.20086},
      primaryclass = {cs.NE},
      author = {Pelleriti, Nico and Nelaturu, Sree Harsha and Zhou, Zhanke and Li, Zongze and Zimmer, Max and Han, Bo and Pokutta, Sebastian},
      title = {What Do Evolutionary Coding Agents Evolve?}
    }
  10. Pelleriti, N., Mundinger, K., Zimmer, M., and Pokutta, S. (2026). Zero: A Meta-Agent for Mathematical Research. Accepted at The Sixth Workshop on Mathematical Reasoning and AI @ NeurIPS 2026.
    [BibTeX]
    @misc{2026_PelleritiMundingerZimmerPokutta_Zero,
      howpublished = {Accepted at The Sixth Workshop on Mathematical Reasoning and AI @ NeurIPS 2026},
      year = {2026},
      author = {Pelleriti, Nico and Mundinger, Konrad and Zimmer, Max and Pokutta, Sebastian},
      title = {Zero: A Meta-Agent for Mathematical Research}
    }
  11. Pelleriti, N., Mundinger, K., Zimmer, M., and Pokutta, S. (2026). Zero: A Meta-Agent for Mathematical Research. Accepted at First Workshop on Meta Agents: Managing Agents That Manage Agents @ NeurIPS 2026.
    [BibTeX]
    @misc{2026_PelleritiMundingerZimmerPokutta_Zero:1,
      howpublished = {Accepted at First Workshop on Meta Agents: Managing Agents That Manage Agents @ NeurIPS 2026},
      year = {2026},
      author = {Pelleriti, Nico and Mundinger, Konrad and Zimmer, Max and Pokutta, Sebastian},
      title = {Zero: A Meta-Agent for Mathematical Research}
    }
  12. Petit-Tichanné, U., Pelleriti, N., Zimmer, M., and Pokutta, S. (2026). Learning the Coefficients of the Standard Volatility Forecaster. Accepted at NeurIPS 2026 Workshop TS-LIMITS: Generalization for Time Series in Tight Settings: Latency, Inference, Memory, PrIvacy and SusTainability.
    [BibTeX]
    @misc{2026_PetitTichannePelleritiZimmerPokutta_Volatilityforecaster,
      howpublished = {Accepted at NeurIPS 2026 Workshop TS-LIMITS: Generalization for Time Series in Tight Settings: Latency, Inference, Memory, PrIvacy and SusTainability},
      year = {2026},
      author = {Petit-Tichanné, Ulysse and Pelleriti, Nico and Zimmer, Max and Pokutta, Sebastian},
      title = {Learning the Coefficients of the Standard Volatility Forecaster}
    }
  13. Zhou, Z., Li, Z., Huang, W., Li, X., Cao, C., Feng, X., Lu, X., Hu, J., Lu, M., Xie, Y., Pelleriti, N., Liu, S., Zimmer, M., Miranda, B., Yao, J., Liu, B., Koyejo, S., Pokutta, S., and Han, B. (2026). Reasoning Is More Than the Model: Harness-Aware Evaluation of Agents on Verifiable Reasoning Tasks. Accepted at ICML 2026 Workshop on AI As a Tool for Mathematics, Computer Science, and Machine Learning. [arXiv]
    [BibTeX]
    @misc{2026_ZhouEtAl_AlphaDianaVerifiableReasoning_2610-20675:1,
      howpublished = {Accepted at ICML 2026 Workshop on AI As a Tool for Mathematics, Computer Science, and Machine Learning},
      year = {2026},
      archiveprefix = {arXiv},
      eprint = {2610.20675},
      arxiv = {arXiv:2610.20675},
      primaryclass = {cs.AI},
      author = {Zhou, Zhanke and Li, Zongze and Huang, Weikai and Li, Xuan and Cao, Chentao and Feng, Xiao and Lu, Xiangyu and Hu, Jinbo and Lu, Menghan and Xie, Yi and Pelleriti, Nico and Liu, Shiyang and Zimmer, Max and Miranda, Brando and Yao, Jiangchao and Liu, Bo and Koyejo, Sanmi and Pokutta, Sebastian and Han, Bo},
      title = {Reasoning Is More Than the Model: Harness-Aware Evaluation of Agents on Verifiable Reasoning Tasks}
    }
  14. Zhou, Z., Li, Z., Huang, W., Li, X., Cao, C., Feng, X., Lu, X., Hu, J., Lu, M., Xie, Y., Pelleriti, N., Liu, S., Zimmer, M., Miranda, B., Yao, J., Liu, B., Koyejo, S., Pokutta, S., and Han, B. (2026). Reasoning Is More Than the Model: Harness-Aware Evaluation of Agents on Verifiable Reasoning Tasks. Accepted at 3rd AI for Math Workshop: Toward Self-Evolving Scientific Agents @ ICML 2026. [arXiv]
    [BibTeX]
    @misc{2026_ZhouEtAl_AlphaDianaVerifiableReasoning_2610-20675:2,
      howpublished = {Accepted at 3rd AI for Math Workshop: Toward Self-Evolving Scientific Agents @ ICML 2026},
      year = {2026},
      archiveprefix = {arXiv},
      eprint = {2610.20675},
      arxiv = {arXiv:2610.20675},
      primaryclass = {cs.AI},
      author = {Zhou, Zhanke and Li, Zongze and Huang, Weikai and Li, Xuan and Cao, Chentao and Feng, Xiao and Lu, Xiangyu and Hu, Jinbo and Lu, Menghan and Xie, Yi and Pelleriti, Nico and Liu, Shiyang and Zimmer, Max and Miranda, Brando and Yao, Jiangchao and Liu, Bo and Koyejo, Sanmi and Pokutta, Sebastian and Han, Bo},
      title = {Reasoning Is More Than the Model: Harness-Aware Evaluation of Agents on Verifiable Reasoning Tasks}
    }
  15. Zhou, Z., Li, Z., Huang, W., Li, X., Cao, C., Feng, X., Lu, X., Hu, J., Lu, M., Xie, Y., Pelleriti, N., Liu, S., Zimmer, M., Miranda, B., Yao, J., Liu, B., Koyejo, S., Pokutta, S., and Han, B. (2026). AlphaDiana: A System for Evaluating Reasoning Agents. Accepted at NeurIPS 2026 Workshop on Towards Test-Time Continual Learning Agents. [arXiv]
    [BibTeX]
    @misc{2026_ZhouEtAl_AlphaDianaVerifiableReasoning_2610-20675:3,
      howpublished = {Accepted at NeurIPS 2026 Workshop on Towards Test-Time Continual Learning Agents},
      year = {2026},
      archiveprefix = {arXiv},
      eprint = {2610.20675},
      arxiv = {arXiv:2610.20675},
      primaryclass = {cs.AI},
      author = {Zhou, Zhanke and Li, Zongze and Huang, Weikai and Li, Xuan and Cao, Chentao and Feng, Xiao and Lu, Xiangyu and Hu, Jinbo and Lu, Menghan and Xie, Yi and Pelleriti, Nico and Liu, Shiyang and Zimmer, Max and Miranda, Brando and Yao, Jiangchao and Liu, Bo and Koyejo, Sanmi and Pokutta, Sebastian and Han, Bo},
      title = {AlphaDiana: A System for Evaluating Reasoning Agents}
    }
  16. Zhou, Z., Li, Z., Huang, W., Li, X., Cao, C., Feng, X., Lu, X., Hu, J., Lu, M., Xie, Y., Pelleriti, N., Liu, S., Zimmer, M., Miranda, B., Yao, J., Liu, B., Koyejo, S., Pokutta, S., and Han, B. (2026). AlphaDiana: A System for Evaluating Reasoning Agents. Accepted at The Sixth Workshop on Mathematical Reasoning and AI @ NeurIPS 2026. [arXiv]
    [BibTeX]
    @misc{2026_ZhouEtAl_AlphaDianaVerifiableReasoning_2610-20675:4,
      howpublished = {Accepted at The Sixth Workshop on Mathematical Reasoning and AI @ NeurIPS 2026},
      year = {2026},
      archiveprefix = {arXiv},
      eprint = {2610.20675},
      arxiv = {arXiv:2610.20675},
      primaryclass = {cs.AI},
      author = {Zhou, Zhanke and Li, Zongze and Huang, Weikai and Li, Xuan and Cao, Chentao and Feng, Xiao and Lu, Xiangyu and Hu, Jinbo and Lu, Menghan and Xie, Yi and Pelleriti, Nico and Liu, Shiyang and Zimmer, Max and Miranda, Brando and Yao, Jiangchao and Liu, Bo and Koyejo, Sanmi and Pokutta, Sebastian and Han, Bo},
      title = {AlphaDiana: A System for Evaluating Reasoning Agents}
    }
  17. Kera, H., Pelleriti, N., Ishihara, Y., Zimmer, M., and Pokutta, S. (2025). Computational Algebra with Attention: Transformer Oracles for Border Basis Algorithms. Advances in Neural Information Processing Systems, 38. Associated with NeurIPS 2025. [arXiv]
    [BibTeX]
    @inproceedings{2025_KeraEtAl_Transformeroracles_2505-23696,
      year = {2025},
      booktitle = {Advances in Neural Information Processing Systems},
      series = {Advances in Neural Information Processing Systems},
      volume = {38},
      publisher = {Curran Associates},
      month = sep,
      archiveprefix = {arXiv},
      eprint = {2505.23696},
      arxiv = {arXiv:2505.23696},
      primaryclass = {cs.LG},
      author = {Kera, Hiroshi and Pelleriti, Nico and Ishihara, Yuki and Zimmer, Max and Pokutta, Sebastian},
      title = {Computational Algebra with Attention: Transformer Oracles for Border Basis Algorithms}
    }
  18. Mundinger, K., Zimmer, M., Kiem, A., Spiegel, C., and Pokutta, S. (2025). Neural Discovery in Mathematics: Do Machines Dream of Colored Planes? Proceedings of the 42nd International Conference on Machine Learning, 267, 45236–45255. Associated with ICML 2025. [URL] [arXiv]
    [BibTeX]
    @inproceedings{2025_MundingerZimmerKiemSpiegelPokutta_NeuralDiscovery,
      year = {2025},
      booktitle = {Proceedings of the 42nd International Conference on Machine Learning},
      series = {Proceedings of Machine Learning Research},
      volume = {267},
      month = jul,
      pages = {45236--45255},
      url = {https://proceedings.mlr.press/v267/mundinger25a.html},
      archiveprefix = {arXiv},
      eprint = {2501.18527},
      arxiv = {arXiv:2501.18527},
      primaryclass = {cs.LG},
      author = {Mundinger, Konrad and Zimmer, Max and Kiem, Aldo and Spiegel, Christoph and Pokutta, Sebastian},
      title = {Neural Discovery in Mathematics: Do Machines Dream of Colored Planes?}
    }
  19. Pauls, J., Zimmer, M., Turan, B., Saatchi, S., Ciais, P., Pokutta, S., and Gieseke, F. (2025). Capturing Temporal Dynamics in Large-Scale Canopy Tree Height Estimation. Proceedings of the 42nd International Conference on Machine Learning, 267. Associated with ICML 2025. [arXiv]
    [BibTeX]
    @inproceedings{2025_JanEtAl_Temporalcanopyheight,
      year = {2025},
      booktitle = {Proceedings of the 42nd International Conference on Machine Learning},
      series = {Proceedings of Machine Learning Research},
      volume = {267},
      month = may,
      archiveprefix = {arXiv},
      eprint = {2501.19328},
      arxiv = {arXiv:2501.19328},
      primaryclass = {cs.LG},
      author = {Pauls, Jan and Zimmer, Max and Turan, Berkant and Saatchi, Sassan and Ciais, Philippe and Pokutta, Sebastian and Gieseke, Fabian},
      title = {Capturing Temporal Dynamics in Large-Scale Canopy Tree Height Estimation}
    }
  20. Pelleriti, N., Zimmer, M., Wirth, E., and Pokutta, S. (2025). Approximating Latent Manifolds in Neural Networks via Vanishing Ideals. Proceedings of the 42nd International Conference on Machine Learning, 267. Associated with ICML 2025. [arXiv]
    [BibTeX]
    @inproceedings{2025_PelleritiZimmerWirthPokutta_Latentmanifolds,
      year = {2025},
      booktitle = {Proceedings of the 42nd International Conference on Machine Learning},
      series = {Proceedings of Machine Learning Research},
      volume = {267},
      month = may,
      archiveprefix = {arXiv},
      eprint = {2502.15051},
      arxiv = {arXiv:2502.15051},
      primaryclass = {cs.LG},
      author = {Pelleriti, Nico and Zimmer, Max and Wirth, Elias and Pokutta, Sebastian},
      title = {Approximating Latent Manifolds in Neural Networks via Vanishing Ideals}
    }
  21. Zimmer, M., Spiegel, C., and Pokutta, S. (2025). Compression-aware training of neural networks using Frank–Wolfe. Mathematical Optimization for Machine Learning, 137–168. DOI: 10.1515/9783111376776-010 [arXiv]
    [BibTeX]
    @inproceedings{2022_ZimmerSpiegelPokutta_Compressionawaretraining,
      year = {2025},
      date = {2025-04-22},
      booktitle = {Mathematical Optimization for Machine Learning},
      series = {De Gruyter Proceedings in Mathematics},
      publisher = {Walter de Gruyter},
      month = apr,
      pages = {137--168},
      doi = {10.1515/9783111376776-010},
      archiveprefix = {arXiv},
      eprint = {2205.11921},
      arxiv = {arXiv:2205.11921},
      primaryclass = {cs.LG},
      author = {Zimmer, Max and Spiegel, Christoph and Pokutta, Sebastian},
      title = {Compression-aware training of neural networks using Frank–Wolfe}
    }
  22. Lasby, M., Zimmer, M., Pokutta, S., and Schultheis, E. (2025). Compressed sparse tiles for memory-efficient unstructured and semi-structured sparsity. Accepted at Workshop on Sparsity in LLMs (SLLM): Deep Dive Into Mixture of Experts, Quantization, Hardware, and Inference. [URL]
    [BibTeX]
    @misc{2025_LasbyZimmerPokuttaSchultheis_SparseTiles,
      howpublished = {Accepted at Workshop on Sparsity in LLMs (SLLM): Deep Dive Into Mixture of Experts, Quantization, Hardware, and Inference},
      year = {2025},
      month = mar,
      url = {https://openreview.net/forum?id=iso0KV2HVq},
      author = {Lasby, Mike and Zimmer, Max and Pokutta, Sebastian and Schultheis, Erik},
      title = {Compressed sparse tiles for memory-efficient unstructured and semi-structured sparsity}
    }
  23. Roux, C., Zimmer, M., and Pokutta, S. (2025, January). On the Byzantine-Resilience of Distillation-Based Federated Learning. International Conference on Learning Representations 2025. Associated with ICLR 2025. [arXiv]
    [BibTeX]
    @inproceedings{2024_RouxZimmerPokutta_Byzantineresilience,
      year = {2025},
      booktitle = {International Conference on Learning Representations 2025},
      publisher = {ICLR (OpenReview)},
      month = jan,
      archiveprefix = {arXiv},
      eprint = {2402.12265},
      arxiv = {arXiv:2402.12265},
      primaryclass = {cs.LG},
      author = {Roux, Christophe and Zimmer, Max and Pokutta, Sebastian},
      title = {On the Byzantine-Resilience of Distillation-Based Federated Learning}
    }
  24. Fayad, I., Zimmer, M., Schwartz, M., Gieseke, F., Ciais, P., Belouze, G., Brood, S., De Truchis, A., and d’Aspremont, A. (2025). DUNIA: Pixel-Sized Embeddings via Cross-Modal Alignment for Earth Observation Applications. Proceedings of the 42nd International Conference on Machine Learning, 267. Associated with ICML 2025. [arXiv]
    [BibTeX]
    @inproceedings{2025_IbrahimEtAl_DuniaCrossmodalalignment,
      year = {2025},
      booktitle = {Proceedings of the 42nd International Conference on Machine Learning},
      series = {Proceedings of Machine Learning Research},
      volume = {267},
      archiveprefix = {arXiv},
      eprint = {2502.17066},
      arxiv = {arXiv:2502.17066},
      primaryclass = {cs.CV},
      author = {Fayad, Ibrahim and Zimmer, Max and Schwartz, Martin and Gieseke, Fabian and Ciais, Philippe and Belouze, Gabriel and Brood, Sarah and De Truchis, Aurelien and d'Aspremont, Alexandre},
      title = {DUNIA: Pixel-Sized Embeddings via Cross-Modal Alignment for Earth Observation Applications}
    }
  25. Pauls, J., Zimmer, M., Kelly, U. M., Schwartz, M., Saatchi, S., Ciais, P., Pokutta, S., Brandt, M., and Gieseke, F. (2024). Estimating Canopy Height at Scale. Proceedings of the 41st International Conference on Machine Learning, 235. Associated with ICML 2024. [arXiv] [code]
    [BibTeX]
    @inproceedings{2024_PaulsEtAl_Canopyheightestimation,
      year = {2024},
      booktitle = {Proceedings of the 41st International Conference on Machine Learning},
      series = {Proceedings of Machine Learning Research},
      volume = {235},
      month = may,
      archiveprefix = {arXiv},
      eprint = {2406.01076},
      arxiv = {arXiv:2406.01076},
      primaryclass = {cs.CV},
      author = {Pauls, Jan and Zimmer, Max and Kelly, Una M and Schwartz, Martin and Saatchi, Sassan and Ciais, Philippe and Pokutta, Sebastian and Brandt, Martin and Gieseke, Fabian},
      title = {Estimating Canopy Height at Scale},
      code = {https://github.com/AI4Forest/Global-Canopy-Height-Map}
    }
  26. Mundinger, K., Zimmer, M., and Pokutta, S. (2024). Neural Parameter Regression for Explicit Representations of PDE Solution Operators. Accepted at ICLR 2024: AI4DifferentialEquations in Science. [URL] [arXiv]
    [BibTeX]
    @misc{2024_MundingerZimmerPokutta_Neuralparameterregression:1,
      howpublished = {Accepted at ICLR 2024: AI4DifferentialEquations in Science},
      year = {2024},
      month = mar,
      url = {https://openreview.net/forum?id=6Z0q0dzSJQ},
      archiveprefix = {arXiv},
      eprint = {2403.12764},
      arxiv = {arXiv:2403.12764},
      primaryclass = {cs.LG},
      author = {Mundinger, Konrad and Zimmer, Max and Pokutta, Sebastian},
      title = {Neural Parameter Regression for Explicit Representations of PDE Solution Operators}
    }
  27. Wäldchen, S., Sharma, K., Turan, B., Zimmer, M., and Pokutta, S. (2024). Interpretability Guarantees with Merlin-Arthur Classifiers. Proceedings of The 27th International Conference on Artificial Intelligence and Statistics, 238. Associated with AISTATS 2024. [arXiv]
    [BibTeX]
    @inproceedings{2022_WaeldchenEtAl_Interpretabilityguarantees,
      year = {2024},
      booktitle = {Proceedings of The 27th International Conference on Artificial Intelligence and Statistics},
      series = {Proceedings of Machine Learning Research},
      volume = {238},
      month = jan,
      archiveprefix = {arXiv},
      eprint = {2206.00759},
      arxiv = {arXiv:2206.00759},
      primaryclass = {cs.LG},
      author = {Wäldchen, Stephan and Sharma, Kartikey and Turan, Berkant and Zimmer, Max and Pokutta, Sebastian},
      title = {Interpretability Guarantees with Merlin-Arthur Classifiers}
    }
  28. Zimmer, M., Spiegel, C., and Pokutta, S. (2024). Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging. International Conference on Learning Representations 2024. Associated with ICLR 2024. [URL] [arXiv]
    [BibTeX]
    @inproceedings{2023_ZimmerSpiegelPokutta_Sparsemodelsoups,
      year = {2024},
      booktitle = {International Conference on Learning Representations 2024},
      publisher = {ICLR (OpenReview)},
      url = {https://iclr.cc/virtual/2024/poster/17433},
      archiveprefix = {arXiv},
      eprint = {2306.16788},
      arxiv = {arXiv:2306.16788},
      primaryclass = {cs.LG},
      author = {Zimmer, Max and Spiegel, Christoph and Pokutta, Sebastian},
      title = {Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging}
    }
  29. Mundinger, K., Pokutta, S., Spiegel, C., and Zimmer, M. (2024). Extending the Continuum of Six-Colorings. Discrete Mathematics Days 2024, 20, 178–183. Associated with DMD 2024. [URL] [arXiv]
    [BibTeX]
    @inproceedings{2024_MundingerPokuttaSpiegelZimmer_SixcoloringsExpansion:1,
      year = {2024},
      booktitle = {Discrete Mathematics Days 2024},
      series = {Obras Colectivas Ciencias},
      volume = {20},
      publisher = {Editorial Universidad de Alcalá},
      pages = {178--183},
      url = {https://dmd2024.web.uah.es/files/abstracts/paper_27.pdf},
      archiveprefix = {arXiv},
      eprint = {2404.05509},
      arxiv = {arXiv:2404.05509},
      primaryclass = {math.CO},
      author = {Mundinger, Konrad and Pokutta, Sebastian and Spiegel, Christoph and Zimmer, Max},
      title = {Extending the Continuum of Six-Colorings}
    }
  30. Zimmer, M., Spiegel, C., and Pokutta, S. (2023). How I Learned to Stop Worrying and Love Retraining. 11th International Conference on Learning Representations (ICLR 2023). Associated with ICLR 2023. [URL] [arXiv] [code]
    [BibTeX]
    @inproceedings{2021_ZimmerSpiegelPokutta_Retrainingpruning,
      year = {2023},
      booktitle = {11th International Conference on Learning Representations (ICLR 2023)},
      publisher = {ICLR (OpenReview)},
      url = {https://iclr.cc/virtual/2023/poster/10914},
      archiveprefix = {arXiv},
      eprint = {2111.00843},
      arxiv = {arXiv:2111.00843},
      primaryclass = {cs.LG},
      author = {Zimmer, Max and Spiegel, Christoph and Pokutta, Sebastian},
      title = {How I Learned to Stop Worrying and Love Retraining},
      code = {https://github.com/ZIB-IOL/BIMP}
    }
  31. Ziemke, T., Sering, L., Vargas Koch, L., Zimmer, M., Nagel, K., and Skutella, M. (2021). Flows Over Time as Continuous Limits of Packet-Based Network Simulations. Transportation Research Procedia, 52, 123–130. Associated with EWGT 2020. DOI: 10.1016/j.trpro.2021.01.014 [URL]
    [BibTeX]
    @article{2021_ZiemkeEtAl_Flowscontinuouslimits,
      year = {2021},
      date = {2021-01-01},
      journal = {Transportation Research Procedia},
      volume = {52},
      pages = {123--130},
      doi = {10.1016/j.trpro.2021.01.014},
      url = {https://sciencedirect.com/science/article/pii/S2352146521000284},
      author = {Ziemke, Theresa and Sering, Leon and Vargas Koch, Laura and Zimmer, Max and Nagel, Kai and Skutella, Martin},
      title = {Flows Over Time as Continuous Limits of Packet-Based Network Simulations}
    }

Articles, chapters and books

  1. Mundinger, K., Pokutta, S., Spiegel, C., and Zimmer, M. (2024). Extending the Continuum of Six-Colorings. Geombinatorics, XXXIV(1), 20–29. [URL] [arXiv]
    [BibTeX]
    @article{2024_MundingerPokuttaSpiegelZimmer_SixcoloringsExpansion,
      year = {2024},
      date = {2024-07-01},
      journal = {Geombinatorics},
      month = jul,
      volume = {XXXIV},
      number = {1},
      pages = {20--29},
      url = {https://geombina.uccs.edu/past-issues/volume-xxxiv},
      archiveprefix = {arXiv},
      eprint = {2404.05509},
      arxiv = {arXiv:2404.05509},
      primaryclass = {math.CO},
      author = {Mundinger, Konrad and Pokutta, Sebastian and Spiegel, Christoph and Zimmer, Max},
      title = {Extending the Continuum of Six-Colorings}
    }

Projects

SynLab MODAL 05M20ZBM
Research Campus MODAL SynLab

This project develops the SCIP Optimization Suite and generalizes application-specific advances from MODAL's vertical labs into exact methods for constraint integer programming. The focus is on structure recognition, nonlinear constraints, and efficient implementation on modern architectures.

SynLab MODAL 05M20ZBM
Apr 2020 to Mar 2030
24
74

AgentMath MATH+ EF-LiOpt-3
Agentic AI in Mathematics

This project aims to develop agentic AI systems for mathematical research: autonomous discovery of patterns and conjectures, design and execution of computational experiments, and integration with formal verification tools.

AgentMath MATH+ EF-LiOpt-3
Sep 2025 to Aug 2028
3
8

NeuCurves MATH+ EF-LiOpt-1
Neural Generative Models for Algebraic Curves

This project aims to apply neural generative models to real plane algebraic curves to advance the classification of M-curves, a problem from Hilbert's 16th problem that remains open for degree ≥8.

NeuCurves MATH+ EF-LiOpt-1
Aug 2025 to Jul 2028
5
2

AI4Forest VDI/VDE-IT 16IS23025B
AI-Based High-Resolution Forest Monitoring

This project develops advanced AI methods to monitor forests using satellite imagery, including radar and optical data. It creates scalable techniques for detailed, high-resolution global maps to monitor canopy height, biomass, and track forest disturbances.

AI4Forest VDI/VDE-IT 16IS23025B
Jun 2023 to May 2027
7
12

Talks and posters

Conference and workshop talks

Jul 2026
AI-Assisted Research in LLM Efficiency by Max Zimmer
ai4math Workshop 2026, Potsdam
Jun 2022
Sparsity in Neural Networks by Max Zimmer
ZIB-Siemens workshop, Berlin

Research seminar talks

Mar 2026
Continuous Optimization for Discrete Problems: Two Stories From LLM Pruning and Discrete Geometry by Max Zimmer
CERMICS, Paris
Mar 2026
Combinatorial and Convex Optimization for LLM Pruning by Max Zimmer
SIERRA Seminar at INRIA Paris, Paris
Mar 2026
Local Pruning: Efficient Post-Training Compression at Scale by Max Zimmer
HPC for Learning Seminar at Sorbonne Universite, Paris
May 2025
Towards Efficient Prune-Retrain Pipelines: Sparse Model Soups and Parameter-Efficient Retraining by Max Zimmer
TrustML Young Scientist Seminar, Nihonbashi
Oct 2024
Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging by Max Zimmer
Research Seminar of the Machine Learning and Data Engineering Group at WWU, Münster
Nov 2023
Approaches to Neural Network Compression – Or: How I Learned To Stop Worrying and Love Retraining by Max Zimmer
AI4Forest Kick-off Meeting, Paris

Poster presentations

Jul 2025
Capturing Temporal Dynamics in Large-Scale Canopy Tree Height Estimation by Berkant Turan and Max Zimmer
42nd International Conference on Machine Learning (ICML), Vancouver
Jul 2025
Neural Discovery in Mathematics: Do Machines Dream of Colored Planes? by Konrad Plato and Max Zimmer
42nd International Conference on Machine Learning (ICML), Vancouver
Jul 2025
Approximating Latent Manifolds in Neural Networks via Vanishing Ideals by Nico Pelleriti and Max Zimmer
42nd International Conference on Machine Learning (ICML), Vancouver
Jul 2025
DUNIA: Pixel-Sized Embeddings via Cross-Modal Alignment for Earth Observation Applications by Max Zimmer
42nd International Conference on Machine Learning (ICML), Vancouver
Apr 2025
Compressed Sparse Tiles for Memory-Efficient Unstructured and Semi-Structured Sparsity by Max Zimmer
SLLM Workshop (part of ICLR 2025), Singapore
Apr 2025
On the Byzantine-Resilience of Distillation-Based Federated Learning by Christophe Roux and Max Zimmer
13th International Conference on Learning Representations (ICLR), Singapore
Jul 2024
Estimating Canopy Height at Scale by Max Zimmer
41st International Conference on Machine Learning (ICML), Vienna
May 2024
Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging by Max Zimmer
12th International Conference on Learning Representations (ICLR), Vienna
May 2023
How I Learned to Stop Worrying and Love Retraining by Max Zimmer
11th International Conference on Learning Representations (ICLR), Kigali
Mar 2023
How I Learned to Stop Worrying and Love Retraining by Max Zimmer
Workshop on Optimization and Machine Learning, Waischenfeld

Events

Teaching

winter 2026
Lecturer for Advanced Topics in Deep Learning: AI4Maths at TUB
summer 2023
Teaching Assistant for Discrete Optimization and Machine Learning at TUB
winter 2022
Teaching Assistant for Discrete Optimization and Machine Learning at TUB
summer 2022
Teaching Assistant for Discrete Optimization and Machine Learning at TUB

Organization and outreach