Zimmer, Max, Dr.

Kontakt

Position

Personal

Raum

3037

Telefon

+49 30 84185-276

E-Mail

Website

http://maxzimmer.org/

Publikationen

2027

Fast Isotopy Computation for T-Curves Mathematical Software – ICMS 2026, Vol.16677, Lecture Notes in Computer Science, 2027 (accepted for publication) Zoe Geiselmann, Michael Joswig, Lars Kastner, Konrad Mundinger, Sebastian Pokutta, Christoph Spiegel, Marcel Wack, Max Zimmer BibTeX
arXiv

2026

A Free Lunch in LLM Compression: Revisiting Retraining after Pruning Advances in Neural Information Processing Systems, Vol.39, 2026 (accepted for publication) Moritz Wagner, Christophe Roux, Max Zimmer, Sebastian Pokutta BibTeX
arXiv

A Trust Region Approach for Learning Schrödinger Bridges Advances in Neural Information Processing Systems, Vol.39, 2026 (accepted for publication) Takeshi Koshizuka, Denis Blessing, Max Zimmer, Sebastian Pokutta, Lorenz Richter BibTeX
arXiv

AlphaDiana: A Measurement System for Agents in Verifiable Reasoning Tasks 2026 Zhanke Zhou, Zongze Li, Weikai Huang, Xuan Li, Chentao Cao, Xiao Feng, Xiangyu Lu, Jinbo Hu, Yi Xie, Nico Pelleriti, Shiyang Liu, Menghan Lu, Max Zimmer, Brando Miranda, Jiangchao Yao, Bo Liu, Sanmi Koyejo, Sebastian Pokutta, Bo Han BibTeX
arXiv

ECHOSAT: Estimating Canopy Height Over Space And Time 2026 Jan Pauls, Karsten Schrödter, Sven Ligensa, Martin Schwartz, Berkant Turan, Max Zimmer, Sassan Saatchi, Sebastian Pokutta, Philippe Ciais, Fabian Gieseke BibTeX
arXiv

From Associations to Activations: Comparing Behavioral and Hidden-State Semantic Geometry in LLMs Proceedings of the 43rd International Conference on Machine Learning, Vol.306, Proceedings of Machine Learning Research, 2026 Louis Schiekiera, Max Zimmer, Christophe Roux, Sebastian Pokutta, Fritz Günther BibTeX
arXiv

Learning the Coefficients of the Standard Volatility Forecaster 2026 Ulysse Petit-Tichanné, Nico Pelleriti, Max Zimmer, Sebastian Pokutta BibTeX

Limits of combinatorial patchworking 2026 Zoe Geiselmann, Michael Joswig, Lars Kastner, Konrad Mundinger, Sebastian Pokutta, Christoph Spiegel, Marcel Wack, Max Zimmer BibTeX
arXiv

LinearPFN: Amortized Variable Selection for Linear Models with Interactions 2026 Louis Schiekiera, Max Zimmer, Christophe Roux, Manuel Arnold, Sebastian Pokutta, Fritz Günther BibTeX
arXiv

Lower Bounds for Frank-Wolfe on Strongly Convex Sets Proceedings of the 43rd International Conference on Machine Learning, Vol.306, Proceedings of Machine Learning Research, 2026 Jannis Halbey, Daniel Deza, Max Zimmer, Christophe Roux, Bartolomeo Stellato, Sebastian Pokutta BibTeX
arXiv

Neural Field Tokenizations with Hierarchy and Spatial Locality Priors 2026 Alonso Urbano, David W. Romero, Max Zimmer, Sebastian Pokutta BibTeX
arXiv

Neural Sum-of-Squares: Certifying the Nonnegativity of Polynomials with Transformers International Conference on Learning Representations 2026, 2026 Nico Pelleriti, Christoph Spiegel, Shiwei Liu, David Martínez-Rubio, Max Zimmer, Sebastian Pokutta BibTeX
arXiv

Optimal Gradient-Norm Minimization in Non-Euclidean Hölder-Smooth Convex Optimization 2026 Nico Pelleriti, Maryam Shiran, David Martínez-Rubio, Max Zimmer, Sebastian Pokutta BibTeX
arXiv

RECON: Robust symmetry discovery via Explicit Canonical Orientation Normalization International Conference on Learning Representations 2026, 2026 Alonso Urbano, David W. Romero, Max Zimmer, Sebastian Pokutta BibTeX
arXiv

The Agentic Researcher: A Practical Guide to AI-Assisted Research in Mathematics and Machine Learning 2026 Max Zimmer, Nico Pelleriti, Christophe Roux, Sebastian Pokutta BibTeX
arXiv

The KV-Surgeon: Compensation-Aware Offline KV-Cache Compaction 2026 Moritz Wagner, Christophe Roux, Max Zimmer, Sebastian Pokutta BibTeX
arXiv

What Do Evolutionary Coding Agents Evolve? 2026 Nico Pelleriti, Sree Harsha Nelaturu, Zhanke Zhou, Zongze Li, Max Zimmer, Bo Han, Sebastian Pokutta BibTeX
arXiv

When Does Sparsity Mitigate the Curse of Depth in LLMs Proceedings of the 43rd International Conference on Machine Learning, Vol.306, Proceedings of Machine Learning Research, 2026 Dilxat Muhtar, Xinyuan Song, Sebastian Pokutta, Max Zimmer, Nico Pelleriti, Thomas Hofmann, Shiwei Liu BibTeX
arXiv

Zero: A Meta-Agent for Mathematical Research 2026 Nico Pelleriti, Konrad Mundinger, Max Zimmer, Sebastian Pokutta BibTeX

2025

Approximating Latent Manifolds in Neural Networks via Vanishing Ideals Proceedings of the 42nd International Conference on Machine Learning, pp. 48734-48761, Vol.267, Proceedings of Machine Learning Research, 2025 Nico Pelleriti, Max Zimmer, Elias Wirth, Sebastian Pokutta BibTeX
arXiv

Capturing Temporal Dynamics in Large-Scale Canopy Tree Height Estimation Proceedings of the 42nd International Conference on Machine Learning, pp. 48422-48438, Vol.267, Proceedings of Machine Learning Research, 2025 Jan Pauls, Max Zimmer, Berkant Turan, Sassan Saatchi, Philippe Ciais, Sebastian Pokutta, Fabian Gieseke BibTeX
arXiv

Compressed sparse tiles for memory-efficient unstructured and semi-structured sparsity 2025 Mike Lasby, Max Zimmer, Sebastian Pokutta, Erik Schultheis BibTeX

Compression-aware training of neural networks using Frank-Wolfe Mathematical Optimization for Machine Learning, K. Fackeldey (Ed.), De Gruyter, pp. 137-168, 2025 Max Zimmer, Christoph Spiegel, Sebastian Pokutta BibTeX
DOI
arXiv

Computational Algebra with Attention: Transformer Oracles for Border Basis Algorithms Advances in Neural Information Processing Systems, pp. 10434-10476, Vol.38, 2025 Hiroshi Kera, Nico Pelleriti, Yuki Ishihara, Max Zimmer, Sebastian Pokutta BibTeX
DOI
arXiv

DUNIA: Pixel-Sized Embeddings via Cross-Modal Alignment for Earth Observation Applications Proceedings of the 42nd International Conference on Machine Learning, pp. 16375-16406, Vol.267, Proceedings of Machine Learning Research, 2025 Ibrahim Fayad, Max Zimmer, Martin Schwartz, Fabian Gieseke, Philippe Ciais, Gabriel Belouze, Sarah Brood, Aurelien De Truchis, Alexandre d'Aspremont BibTeX
arXiv

Don't Be Greedy, Just Relax! Pruning LLMs via Frank-Wolfe 2025 Christophe Roux, Max Zimmer, Alexandre d'Aspremont, Sebastian Pokutta BibTeX
arXiv

Neural Discovery in Mathematics: Do Machines Dream of Colored Planes? Proceedings of the 42nd International Conference on Machine Learning, pp. 45236-45255, Vol.267, Proceedings of Machine Learning Research, 2025 Konrad Mundinger, Max Zimmer, Aldo Kiem, Christoph Spiegel, Sebastian Pokutta BibTeX
arXiv

Objective Coefficient Rounding and Almost Symmetries in Binary Programs 2025 Dominik Kuzinowicz, Paweł Lichocki, Gioni Mexi, Marc Pfetsch, Sebastian Pokutta, Max Zimmer BibTeX
arXiv

On the byzantine-resilience of distillation-based federated learning International Conference on Learning Representations 2025, 2025 Christophe Roux, Max Zimmer, Sebastian Pokutta BibTeX
arXiv

SparseSwaps: Tractable LLM Pruning Mask Refinement at Scale 2025 Max Zimmer, Christophe Roux, Moritz Wagner, Deborah Hendrych, Sebastian Pokutta BibTeX
arXiv

2024

Estimating canopy height at scale Proceedings of the 41st International Conference on Machine Learning, pp. 39972-39988, Vol.235, Proceedings of Machine Learning Research, 2024 Jan Pauls, Max Zimmer, Una M Kelly, Martin Schwartz, Sassan Saatchi, Philippe Ciais, Sebastian Pokutta, Martin Brandt, Fabian Gieseke BibTeX
arXiv

Extending the Continuum of Six-Colorings Discrete Mathematics Days 2024, pp. 178-183, Vol.20, Obras Colectivas Ciencias, 2024 Konrad Mundinger, Sebastian Pokutta, Christoph Spiegel, Max Zimmer BibTeX
DOI
arXiv

Extending the Continuum of Six-Colorings Geombinatorics, XXXIV(1), pp. 20-29, 2024 Konrad Mundinger, Sebastian Pokutta, Christoph Spiegel, Max Zimmer BibTeX
arXiv

Interpretability Guarantees with Merlin-Arthur Classifiers Proceedings of The 27th International Conference on Artificial Intelligence and Statistics, pp. 1963-1971, Vol.238, Proceedings of Machine Learning Research, 2024 Stephan Wäldchen, Kartikey Sharma, Berkant Turan, Max Zimmer, Sebastian Pokutta BibTeX
arXiv

Neural Parameter Regression for Explicit Representations of PDE Solution Operators 2024 Konrad Mundinger, Max Zimmer, Sebastian Pokutta BibTeX
arXiv

Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging International Conference on Learning Representations 2024, 2024, ISBN: 9781713898658 Max Zimmer, Christoph Spiegel, Sebastian Pokutta BibTeX
arXiv

2023

How I Learned to Stop Worrying and Love Retraining International Conference on Learning Representations 2023, 2023 Max Zimmer, Christoph Spiegel, Sebastian Pokutta BibTeX
arXiv

PERP: Rethinking the Prune-Retrain Paradigm in the Era of LLMs 2023 Max Zimmer, Megi Andoni, Christoph Spiegel, Sebastian Pokutta BibTeX
arXiv

2021

Flows Over Time as Continuous Limits of Packet-Based Network Simulations Transportation Research Procedia, pp. 123-130, Vol.52, 2021 Theresa Ziemke, Leon Sering, Laura Vargas Koch, Max Zimmer, Kai Nagel, Martin Skutella BibTeX
DOI

2020

Deep Neural Network Training with Frank-Wolfe 2020 Sebastian Pokutta, Christoph Spiegel, Max Zimmer BibTeX
arXiv