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Conference and Workshop Papers
- 2025
[c6]Christophe Roux, Max Zimmer, Sebastian Pokutta:
On the Byzantine-Resilience of Distillation-Based Federated Learning. ICLR 2025- 2024
- [c5]Stephan Wäldchen, Kartikey Sharma, Berkant Turan, Max Zimmer, Sebastian Pokutta:
Interpretability Guarantees with Merlin-Arthur Classifiers. AISTATS 2024: 1963-1971 - [c4]Max Zimmer, Christoph Spiegel, Sebastian Pokutta:
Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging. ICLR 2024 - [c3]Jan Pauls, Max Zimmer, Una M. Kelly, Martin Schwartz, Sassan Saatchi, Philippe Ciais, Sebastian Pokutta, Martin Brandt, Fabian Gieseke:
Estimating Canopy Height at Scale. ICML 2024 - 2023
- [c2]Max Zimmer
, Christoph Spiegel, Sebastian Pokutta:
How I Learned to Stop Worrying and Love Retraining. ICLR 2023 - [c1]Dia Istanbuly, Max Zimmer, Gregory Gay:
How Do Different Types of Testing Goals Affect Test Case Design? ICTSS 2023: 97-114
Data and Artifacts
- 2024
- [d1]Stephan Wäldchen, Kartikey Sharma, Berkant Turan, Max Zimmer, Sebastian Pokutta:
Interpretability Guarantees with Merlin-Arthur Classifiers. Zenodo, 2024
Informal and Other Publications
- 2025
- [i15]Konrad Mundinger, Max Zimmer, Aldo Kiem, Christoph Spiegel, Sebastian Pokutta:
Neural Discovery in Mathematics: Do Machines Dream of Colored Planes? CoRR abs/2501.18527 (2025) - [i14]Jan Pauls, Max Zimmer, Berkant Turan, Sassan Saatchi, Philippe Ciais, Sebastian Pokutta, Fabian Gieseke:
Capturing Temporal Dynamics in Large-Scale Canopy Tree Height Estimation. CoRR abs/2501.19328 (2025) - [i13]Nico Pelleriti, Max Zimmer, Elias Samuel Wirth, Sebastian Pokutta:
Approximating Latent Manifolds in Neural Networks via Vanishing Ideals. CoRR abs/2502.15051 (2025) - [i12]Ibrahim Fayad, Max Zimmer, Martin Schwartz, Philippe Ciais, Fabian Gieseke, Gabriel Belouze, Sarah Brood, Aurélien de Truchis, Alexandre d'Aspremont:
DUNIA: Pixel-Sized Embeddings via Cross-Modal Alignment for Earth Observation Applications. CoRR abs/2502.17066 (2025) - [i11]Alonso Urbano, David W. Romero, Max Zimmer, Sebastian Pokutta:
RECON: Robust symmetry discovery via Explicit Canonical Orientation Normalization. CoRR abs/2505.13289 (2025) - [i10]Hiroshi Kera, Nico Pelleriti, Yuki Ishihara, Max Zimmer, Sebastian Pokutta:
Computational Algebra with Attention: Transformer Oracles for Border Basis Algorithms. CoRR abs/2505.23696 (2025) - 2024
- [i9]Christophe Roux, Max Zimmer, Sebastian Pokutta:
On the Byzantine-Resilience of Distillation-Based Federated Learning. CoRR abs/2402.12265 (2024) - [i8]Konrad Mundinger, Max Zimmer, Sebastian Pokutta:
Neural Parameter Regression for Explicit Representations of PDE Solution Operators. CoRR abs/2403.12764 (2024) - [i7]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 abs/2406.01076 (2024) - 2023
- [i6]Max Zimmer, Christoph Spiegel, Sebastian Pokutta:
Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging. CoRR abs/2306.16788 (2023) - [i5]Max Zimmer, Megi Andoni, Christoph Spiegel, Sebastian Pokutta:
PERP: Rethinking the Prune-Retrain Paradigm in the Era of LLMs. CoRR abs/2312.15230 (2023) - 2022
- [i4]Max Zimmer, Christoph Spiegel, Sebastian Pokutta:
Compression-aware Training of Neural Networks using Frank-Wolfe. CoRR abs/2205.11921 (2022) - [i3]Stephan Wäldchen, Kartikey Sharma, Max Zimmer, Sebastian Pokutta:
Merlin-Arthur Classifiers: Formal Interpretability with Interactive Black Boxes. CoRR abs/2206.00759 (2022) - 2021
- [i2]Max Zimmer, Christoph Spiegel, Sebastian Pokutta:
How I Learned to Stop Worrying and Love Retraining. CoRR abs/2111.00843 (2021) - 2020
- [i1]Sebastian Pokutta, Christoph Spiegel, Max Zimmer:
Deep Neural Network Training with Frank-Wolfe. CoRR abs/2010.07243 (2020)
Coauthor Index
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