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Mattes Mollenhauer · SciRah

Researcher profile · Semantic Scholar

Mattes Mollenhauer

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Mattes Mollenhauer — researcher profile on SciRah

h-index: 10
Works: 23
Citations: 318

Most-cited papers

Optimal Rates for Regularized Conditional Mean Embedding Learning
Zhu Li, D. Meunier, Mattes Mollenhauer, A. Gretton
2022Neural Information Processing Systems71 citations Open access
Semantic Scholar
Learning linear operators: Infinite-dimensional regression as a well-behaved non-compact inverse problem
Mattes Mollenhauer, Nicole Mücke, T. Sullivan
202236 citations
Semantic Scholar
Kernel methods for detecting coherent structures in dynamical data.
Stefan Klus, B. Husic, Mattes Mollenhauer, Frank Noé
2019Chaos34 citations Open access
Semantic Scholar
Kernel Conditional Density Operators
I. Schuster, Mattes Mollenhauer, Stefan Klus, Krikamol Muandet
2019International Conference on Artificial Intelligence and Statistics31 citations
Semantic Scholar
Towards Optimal Sobolev Norm Rates for the Vector-Valued Regularized Least-Squares Algorithm
Zhu Li, D. Meunier, Mattes Mollenhauer, A. Gretton
2023Journal of machine learning research30 citations
Semantic Scholar
Nonparametric approximation of conditional expectation operators
Mattes Mollenhauer, P. Koltai
2020arXiv.org25 citations
Semantic Scholar
Singular Value Decomposition of Operators on Reproducing Kernel Hilbert Spaces
Mattes Mollenhauer, I. Schuster, Stefan Klus, C. Schütte
2018Advances in Dynamics, Optimization and Computation22 citations Open access
Semantic Scholar
Optimal Rates for Vector-Valued Spectral Regularization Learning Algorithms
D. Meunier, Zikai Shen, Mattes Mollenhauer, A. Gretton +1 more
2024Neural Information Processing Systems14 citations
Semantic Scholar
Kernel autocovariance operators of stationary processes: Estimation and convergence
Mattes Mollenhauer, Stefan Klus, C. Schütte, P. Koltai
2020Journal of machine learning research14 citations
Semantic Scholar
Optimal Reaction Coordinates: Variational Characterization and Sparse Computation
Andreas Bittracher, Mattes Mollenhauer, P. Koltai, C. Schütte
2021Multiscale Modeling & simulation11 citations Open access
Semantic Scholar
On Hyperparameter Search in Cluster Ensembles
L. Helfmann, Johannes von Lindheim, Mattes Mollenhauer, Ralf Banisch
2018arXiv.org7 citations
Semantic Scholar
Regularized least squares learning with heavy-tailed noise is minimax optimal
Mattes Mollenhauer, Nicole Mücke, D. Meunier, A. Gretton
2025Neural Information Processing Systems5 citations
Semantic Scholar
On the concentration of subgaussian vectors and positive quadratic forms in Hilbert spaces
Mattes Mollenhauer, C. Schillings
20235 citations
Semantic Scholar
Optimal Learning Rates for Regularized Conditional Mean Embedding Learning
A. Gretton, Li Zhu, D. Meunier, Mattes Mollenhauer
2022Advances in Neural Information Processing Systems 355 citations
Semantic Scholar
Choose Your Model Size: Any Compression of Large Language Models Without Re-Computation
Martin Genzel, P. Putzky, Peng-Fei Zhao, Sebastian Schulze +4 more
2025Trans. Mach. Learn. Res.3 citations
Semantic Scholar
Float8@2bits: Entropy Coding Enables Data-Free Model Compression
P. Putzky, Martin Genzel, Mattes Mollenhauer, Sebastian Schulze +2 more
2026arXiv.org2 citations
Semantic Scholar
Fuk-Nagaev inequality in smooth Banach spaces: Optimum bounds for distributions of heavy-tailed martingales
Mattes Mollenhauer, Christian Fiedler
20252 citations
Semantic Scholar
Kernel canonical correlation analysis approximates operators for the detection of coherent structures in dynamical data
Stefan Klus, B. Husic, Mattes Mollenhauer
20192 citations
Semantic Scholar
Effectiveness of an employment-based smoking cessation assistance program in China
Peizhong Li, Christopher R. Larrison, R. Lennox, Mattes Mollenhauer +1 more
2015Family Medicine and Community Health Journal2 citations Open access
Semantic Scholar
Choose Your Model Size: Any Compression by a Single Gradient Descent
Martin Genzel, P. Putzky, Peng-Fei Zhao, Sebastian Schulze +4 more
2025arXiv.org1 citations
Semantic Scholar
Asymptotic e-processes
P. Massiani, Sebastian Schulze, Mattes Mollenhauer
20260 citations
Semantic Scholar
Variational Characterization and Identification of Reaction Coordinates in Stochastic Systems
Andreas Bittracher, Mattes Mollenhauer, P. Koltai, C. Schütte
20210 citations
Semantic Scholar
Kernel Conditional Density Operators A Supplementary material A . 1 Proofs for results in the main text
I. Schuster, Mattes Mollenhauer, Stefan Klus, Krikamol Muandet
20200 citations
Semantic Scholar

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