Search Results - "Zimmer, Max"

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  1. 1

    Neural Parameter Regression for Explicit Representations of PDE Solution Operators by Mundinger, Konrad, Zimmer, Max, Pokutta, Sebastian

    Published 19-03-2024
    “…We introduce Neural Parameter Regression (NPR), a novel framework specifically developed for learning solution operators in Partial Differential Equations…”
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    Journal Article
  2. 2

    On the Byzantine-Resilience of Distillation-Based Federated Learning by Roux, Christophe, Zimmer, Max, Pokutta, Sebastian

    Published 19-02-2024
    “…Federated Learning (FL) algorithms using Knowledge Distillation (KD) have received increasing attention due to their favorable properties with respect to…”
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    Journal Article
  3. 3

    Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging by Zimmer, Max, Spiegel, Christoph, Pokutta, Sebastian

    Published 29-06-2023
    “…Neural networks can be significantly compressed by pruning, yielding sparse models with reduced storage and computational demands while preserving predictive…”
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    Journal Article
  4. 4

    Extending the Continuum of Six-Colorings by Mundinger, Konrad, Pokutta, Sebastian, Spiegel, Christoph, Zimmer, Max

    Published 08-04-2024
    “…We present two novel six-colorings of the Euclidean plane that avoid monochromatic pairs of points at unit distance in five colors and monochromatic pairs at…”
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    Journal Article
  5. 5

    Compression-aware Training of Neural Networks using Frank-Wolfe by Zimmer, Max, Spiegel, Christoph, Pokutta, Sebastian

    Published 24-05-2022
    “…Many existing Neural Network pruning approaches rely on either retraining or inducing a strong bias in order to converge to a sparse solution throughout…”
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    Journal Article
  6. 6

    PERP: Rethinking the Prune-Retrain Paradigm in the Era of LLMs by Zimmer, Max, Andoni, Megi, Spiegel, Christoph, Pokutta, Sebastian

    Published 23-12-2023
    “…Neural Networks can be efficiently compressed through pruning, significantly reducing storage and computational demands while maintaining predictive…”
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    Journal Article
  7. 7

    How I Learned to Stop Worrying and Love Retraining by Zimmer, Max, Spiegel, Christoph, Pokutta, Sebastian

    Published 01-11-2021
    “…Many Neural Network Pruning approaches consist of several iterative training and pruning steps, seemingly losing a significant amount of their performance…”
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    Journal Article
  8. 8

    Deep Neural Network Training with Frank-Wolfe by Pokutta, Sebastian, Spiegel, Christoph, Zimmer, Max

    Published 14-10-2020
    “…This paper studies the empirical efficacy and benefits of using projection-free first-order methods in the form of Conditional Gradients, a.k.a. Frank-Wolfe…”
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    Journal Article
  9. 9

    Interpretability Guarantees with Merlin-Arthur Classifiers by Wäldchen, Stephan, Sharma, Kartikey, Turan, Berkant, Zimmer, Max, Pokutta, Sebastian

    Published 01-06-2022
    “…We propose an interactive multi-agent classifier that provides provable interpretability guarantees even for complex agents such as neural networks. These…”
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  10. 10

    Estimating Canopy Height at Scale by Pauls, Jan, Zimmer, Max, Kelly, Una M, Schwartz, Martin, Saatchi, Sassan, Ciais, Philippe, Pokutta, Sebastian, Brandt, Martin, Gieseke, Fabian

    Published 03-06-2024
    “…We propose a framework for global-scale canopy height estimation based on satellite data. Our model leverages advanced data preprocessing techniques, resorts…”
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    Journal Article
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