Christoph Zimmer

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 34

Top Venues

Heidelberg University (PHD)

Education History

Heidelberg University

PHD

Publications

José C. Garay, Hannah Mohr, Daniel Peterseim, Christoph Zimmer
Hierarchical Super-Localized Orthogonal Decomposition Method. CoRR (2024)
Daniel Peterseim, Johan Wärnegård, Christoph Zimmer
Super-localised wave function approximation of Bose-Einstein condensates. J. Comput. Phys. 510 (2024)
Jörn Tebbe, Christoph Zimmer, Ansgar Steland, Markus Lange-Hegermann, Fabian Mies
Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning. AISTATS (2024)
Cen-You Li, Olaf Duennbier, Marc Toussaint, Barbara Rakitsch, Christoph Zimmer
Global Safe Sequential Learning via Efficient Knowledge Transfer. CoRR (2024)
Christoph Zimmer, Mona Meister, Duy Nguyen-Tuong
Safe Active Learning for Time-Series Modeling with Gaussian Processes. CoRR (2024)
Cen-You Li, Marc Toussaint, Barbara Rakitsch, Christoph Zimmer
Amortized Active Learning for Nonparametric Functions. CoRR (2024)
Jörn Tebbe, Christoph Zimmer, Ansgar Steland, Markus Lange-Hegermann, Fabian Mies
Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning. CoRR (2024)
Markus Lange-Hegermann, Christoph Zimmer
Future Aware Safe Active Learning of Time Varying Systems using Gaussian Processes. CoRR (2024)
Robert Altmann, Christoph Zimmer
A posteriori error estimation for parabolic problems with dynamic boundary conditions. CoRR (2023)
Daniel Peterseim, Johan Wärnegård, Christoph Zimmer
Super-localised wave function approximation of Bose-Einstein condensates. CoRR (2023)
Matthias Bitzer, Mona Meister, Christoph Zimmer
Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels. CoRR (2023)
Matthias Bitzer, Mona Meister, Christoph Zimmer
Hierarchical-Hyperplane Kernels for Actively Learning Gaussian Process Models of Nonstationary Systems. CoRR (2023)
Matthias Bitzer, Mona Meister, Christoph Zimmer
Hierarchical-Hyperplane Kernels for Actively Learning Gaussian Process Models of Nonstationary Systems. AISTATS (2023)
Matthias Bitzer, Mona Meister, Christoph Zimmer
Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels. UAI (2023)
Cen-You Li, Barbara Rakitsch, Christoph Zimmer
Safe Active Learning for Multi-Output Gaussian Processes. AISTATS (2022)
Matthias Bitzer, Mona Meister, Christoph Zimmer
Structural Kernel Search via Bayesian Optimization and Symbolical Optimal Transport. NeurIPS (2022)
Cen-You Li, Barbara Rakitsch, Christoph Zimmer
Safe Active Learning for Multi-Output Gaussian Processes. CoRR (2022)
Matthias Bitzer, Mona Meister, Christoph Zimmer
Structural Kernel Search via Bayesian Optimization and Symbolical Optimal Transport. CoRR (2022)
Robert Altmann, Christoph Zimmer
Singular perturbation results for linear partial differential-algebraic equations of hyperbolic type. CoRR (2021)
Robert Altmann, Balázs Kovács, Christoph Zimmer
Bulk-surface Lie splitting for parabolic problems with dynamic boundary conditions. CoRR (2021)
Hon Sum Alec Yu, Dingling Yao, Christoph Zimmer, Marc Toussaint, Duy Nguyen-Tuong
Active Learning in Gaussian Process State Space Model. CoRR (2021)
Hon Sum Alec Yu, Dingling Yao, Christoph Zimmer, Marc Toussaint, Duy Nguyen-Tuong
Active Learning in Gaussian Process State Space Model. ECML/PKDD (3) (2021)
Christoph Zimmer, Reza Yaesoubi
Influenza Forecasting Framework based on Gaussian Processes. ICML (2020)
Christoph Zimmer, Danny Driess, Mona Meister, Duy Nguyen-Tuong
Adaptive Discretization for Evaluation of Probabilistic Cost Functions. AISTATS (2020)
Sequoia I. Leuba, Reza Yaesoubi, Marina Antillon, Ted Cohen, Christoph Zimmer
Tracking and predicting U.S. influenza activity with a real-time surveillance network. PLoS Comput. Biol. 16 (11) (2020)
Christoph Zimmer, Mona Meister, Duy Nguyen-Tuong
Safe Active Learning for Time-Series Modeling with Gaussian Processes. GI-Jahrestagung (2019)
Robert Altmann, Christoph Zimmer
Exponential integrators for semi-linear parabolic problems with linear constraints. CoRR (2019)
Christoph Zimmer, Mona Meister, Duy Nguyen-Tuong
Safe Active Learning for Time-Series Modeling with Gaussian Processes. NeurIPS (2018)
Robert Altmann, Christoph Zimmer
Runge-Kutta methods for linear semi-explicit operator differential-algebraic equations. Math. Comput. 87 (309) (2018)
Luis U. Aguilera, Christoph Zimmer, Ursula Kummer
A new efficient approach to fit stochastic models on the basis of high-throughput experimental data using a model of IRF7 gene expression as case study. BMC Syst. Biol. 11 (1) (2017)
Christoph Zimmer, Reza Yaesoubi, Ted Cohen
A Likelihood Approach for Real-Time Calibration of Stochastic Compartmental Epidemic Models. PLoS Comput. Biol. 13 (1) (2017)
Frank T. Bergmann, Sven Sahle, Christoph Zimmer
Piecewise parameter estimation for stochastic models in COPASI. Bioinform. 32 (10) (2016)
Christoph Zimmer, Sven Sahle
Comparison of approaches for parameter estimation on stochastic models: Generic least squares versus specialized approaches. Comput. Biol. Chem. 61 (2016)
Christoph Zimmer, Frank T. Bergmann, Sven Sahle
Reducing local minima in fitness landscapes of parameter estimation by using piecewise evaluation and state estimation. CoRR (2016)
Christoph Zimmer, Sven Sahle
A termination criterion for parameter estimation in stochastic models in systems biology. Biosyst. 137 (2015)

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Publication Activity (10 Years)

Top Topics

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Christoph Zimmer