Max Zimmer

According to our database, Max Zimmer authored at least 9 papers between 2020 and 2024.

Collaborative distances:

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

2024

Neural Parameter Regression for Explicit Representations of PDE Solution Operators.

Konrad Mundinger, Max Zimmer, Sebastian Pokutta

CoRR, 2024

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

Christophe Roux, Max Zimmer, Sebastian Pokutta

CoRR, 2024

2023

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

Max Zimmer, Megi Andoni, Christoph Spiegel, Sebastian Pokutta

CoRR, 2023

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

Max Zimmer, 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