Max Zimmer

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 13

Top Topics

Model Averaging

Bayes Classifier

Top Venues

Publications

Konrad Mundinger, Max Zimmer, Sebastian Pokutta
Neural Parameter Regression for Explicit Representations of PDE Solution Operators. CoRR (2024)
Jan Pauls, Max Zimmer, Una M. Kelly, Martin Schwartz, Sassan Saatchi, Philippe Ciais, Sebastian Pokutta, Martin Brandt, Fabian Gieseke
Estimating Canopy Height at Scale. CoRR (2024)
Stephan Wäldchen, Kartikey Sharma, Berkant Turan, Max Zimmer, Sebastian Pokutta
Interpretability Guarantees with Merlin-Arthur Classifiers. AISTATS (2024)
Christophe Roux, Max Zimmer, Sebastian Pokutta
On the Byzantine-Resilience of Distillation-Based Federated Learning. CoRR (2024)
Max Zimmer, Christoph Spiegel, Sebastian Pokutta
Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging. ICLR (2024)
Max Zimmer, Christoph Spiegel, Sebastian Pokutta
Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging. CoRR (2023)
Max Zimmer, Megi Andoni, Christoph Spiegel, Sebastian Pokutta
PERP: Rethinking the Prune-Retrain Paradigm in the Era of LLMs. CoRR (2023)
Max Zimmer, Christoph Spiegel, Sebastian Pokutta
How I Learned to Stop Worrying and Love Retraining. ICLR (2023)
Dia Istanbuly, Max Zimmer, Gregory Gay
How Do Different Types of Testing Goals Affect Test Case Design? ICTSS (2023)
Max Zimmer, Christoph Spiegel, Sebastian Pokutta
Compression-aware Training of Neural Networks using Frank-Wolfe. CoRR (2022)
Stephan Wäldchen, Kartikey Sharma, Max Zimmer, Sebastian Pokutta
Merlin-Arthur Classifiers: Formal Interpretability with Interactive Black Boxes. CoRR (2022)
Max Zimmer, Christoph Spiegel, Sebastian Pokutta
Back to Basics: Efficient Network Compression via IMP. CoRR (2021)
Sebastian Pokutta, Christoph Spiegel, Max Zimmer
Deep Neural Network Training with Frank-Wolfe. CoRR (2020)