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Max Zimmer
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Year
Deep neural network training with frank-wolfe
S Pokutta, C Spiegel, M Zimmer
arXiv preprint arXiv:2010.07243, 2020
182020
Flows over time as continuous limits of packet-based network simulations
T Ziemke, L Sering, LV Koch, M Zimmer, K Nagel, M Skutella
Transportation Research Procedia 52, 123-130, 2021
112021
Compression-aware training of neural networks using frank-wolfe
M Zimmer, C Spiegel, S Pokutta
arXiv preprint arXiv:2205.11921, 2022
72022
Sparse model soups: A recipe for improved pruning via model averaging
M Zimmer, C Spiegel, S Pokutta
arXiv preprint arXiv:2306.16788, 2023
52023
How I Learned to Stop Worrying and Love Retraining
M Zimmer, C Spiegel, S Pokutta
arXiv preprint arXiv:2111.00843, 2021
52021
Interpretability Guarantees with Merlin-Arthur Classifiers
S Wäldchen, K Sharma, B Turan, M Zimmer, S Pokutta
International Conference on Artificial Intelligence and Statistics, 1963-1971, 2024
3*2024
Perp: Rethinking the prune-retrain paradigm in the era of llms
M Zimmer, M Andoni, C Spiegel, S Pokutta
arXiv preprint arXiv:2312.15230, 2023
22023
On the Byzantine-Resilience of Distillation-Based Federated Learning
C Roux, M Zimmer, S Pokutta
arXiv preprint arXiv:2402.12265, 2024
12024
Extending the Continuum of Six-Colorings
K Mundinger, S Pokutta, C Spiegel, M Zimmer
arXiv preprint arXiv:2404.05509, 2024
2024
Neural Parameter Regression for Explicit Representations of PDE Solution Operators
K Mundinger, M Zimmer, S Pokutta
arXiv preprint arXiv:2403.12764, 2024
2024
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