Genzel, Martin

8 publications

TMLR 2025 Choose Your Model Size: Any Compression of Large Language Models Without Re-Computation Martin Genzel, Patrick Putzky, Pengfei Zhao, Sebastian Schulze, Mattes Mollenhauer, Robert Seidel, Stefan Dietzel, Thomas Wollmann

JMLR 2024 Memorization with Neural Nets: Going Beyond the Worst Case Sjoerd Dirksen, Patrick Finke, Martin Genzel

NeurIPS 2023 Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive Models Julien Siems, Konstantin Ditschuneit, Winfried Ripken, Alma Lindborg, Maximilian Schambach, Johannes Otterbach, Martin Genzel

ICMLW 2023 Curve Your Enthusiasm: Concurvity Regularization in Differentiable Generalized Additive Models Julien Niklas Siems, Konstantin Ditschuneit, Winfried Ripken, Alma Lindborg, Maximilian Schambach, Johannes Otterbach, Martin Genzel

ICML 2022 Near-Exact Recovery for Tomographic Inverse Problems via Deep Learning Martin Genzel, Ingo Gühring, Jan Macdonald, Maximilian März

JMLR 2022 The Separation Capacity of Random Neural Networks Sjoerd Dirksen, Martin Genzel, Laurent Jacques, Alexander Stollenwerk

NeurIPSW 2021 Learning Structured Sparse Matrices for Signal Recovery via Unrolled Optimization Jonathan Sauder, Martin Genzel, Peter Jung

NeurIPSW 2021 Near-Exact Recovery for Sparse-View CT via Data-Driven Methods Martin Genzel, Ingo Gühring, Jan Macdonald, Maximilian März