Max Zimmer

According to our database, Max Zimmer authored at least 18 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Computational Algebra with Attention: Transformer Oracles for Border Basis Algorithms.

Hiroshi Kera, Nico Pelleriti, Yuki Ishihara, Max Zimmer, Sebastian Pokutta

CoRR, May, 2025

RECON: Robust symmetry discovery via Explicit Canonical Orientation Normalization.

Alonso Urbano, David W. Romero, Max Zimmer, Sebastian Pokutta

CoRR, May, 2025

DUNIA: Pixel-Sized Embeddings via Cross-Modal Alignment for Earth Observation Applications.

Ibrahim Fayad, Max Zimmer, Martin Schwartz, Philippe Ciais, Fabian Gieseke, Gabriel Belouze, Sarah Brood, Aurélien de Truchis, Alexandre d'Aspremont

CoRR, February, 2025

Approximating Latent Manifolds in Neural Networks via Vanishing Ideals.

Nico Pelleriti, Max Zimmer, Elias Samuel Wirth, Sebastian Pokutta

CoRR, February, 2025

Capturing Temporal Dynamics in Large-Scale Canopy Tree Height Estimation.

Jan Pauls, Max Zimmer, Berkant Turan, Sassan Saatchi, Philippe Ciais, Sebastian Pokutta, Fabian Gieseke

CoRR, January, 2025

Neural Discovery in Mathematics: Do Machines Dream of Colored Planes?

Konrad Mundinger, Max Zimmer, Aldo Kiem, Christoph Spiegel, Sebastian Pokutta

CoRR, January, 2025

On the Byzantine-Resilience of Distillation-Based Federated Learning.

Christophe Roux, Max Zimmer, Sebastian Pokutta

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Interpretability Guarantees with Merlin-Arthur Classifiers.

Stephan Wäldchen, Kartikey Sharma, Berkant Turan, Max Zimmer, Sebastian Pokutta

Dataset, February, 2024

Neural Parameter Regression for Explicit Representations of PDE Solution Operators.

Konrad Mundinger, Max Zimmer, Sebastian Pokutta

CoRR, 2024

Estimating Canopy Height at Scale.

Jan Pauls, Max Zimmer, Una M. Kelly, Martin Schwartz, Sassan Saatchi, Philippe Ciais, Sebastian Pokutta, Martin Brandt, Fabian Gieseke

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging.

Max Zimmer, Christoph Spiegel, Sebastian Pokutta

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Interpretability Guarantees with Merlin-Arthur Classifiers.

Stephan Wäldchen, Kartikey Sharma, Berkant Turan, Max Zimmer, Sebastian Pokutta

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

PERP: Rethinking the Prune-Retrain Paradigm in the Era of LLMs.

Max Zimmer, Megi Andoni, Christoph Spiegel, Sebastian Pokutta

CoRR, 2023

How Do Different Types of Testing Goals Affect Test Case Design?

Dia Istanbuly, Max Zimmer, Gregory Gay

Proceedings of the Testing Software and Systems, 2023

How I Learned to Stop Worrying and Love Retraining.

Max Zimmer, Christoph Spiegel, Sebastian Pokutta

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Merlin-Arthur Classifiers: Formal Interpretability with Interactive Black Boxes.

Stephan Wäldchen, Kartikey Sharma, Max Zimmer, Sebastian Pokutta

CoRR, 2022

Compression-aware Training of Neural Networks using Frank-Wolfe.

Max Zimmer, Christoph Spiegel, Sebastian Pokutta

CoRR, 2022

2020

Deep Neural Network Training with Frank-Wolfe.

Sebastian Pokutta, Christoph Spiegel, Max Zimmer

CoRR, 2020