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ORCIDChristoph Zimmer
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2020 – today
- 2024
[j10]Daniel Peterseim, Johan Wärnegård
, Christoph Zimmer:
Super-localised wave function approximation of Bose-Einstein condensates. J. Comput. Phys. 510: 113097 (2024)- [c11]Jörn Tebbe, Christoph Zimmer, Ansgar Steland, Markus Lange-Hegermann, Fabian Mies:
Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning. AISTATS 2024: 1333-1341 - [c10]Cen-You Li, Marc Toussaint, Barbara Rakitsch, Christoph Zimmer:
Amortized Active Learning for Nonparametric Functions. IAL@PKDD/ECML 2024: 18-32 - [i20]Christoph Zimmer, Mona Meister, Duy Nguyen-Tuong:
Safe Active Learning for Time-Series Modeling with Gaussian Processes. CoRR abs/2402.06276 (2024) - [i19]Cen-You Li, Olaf Duennbier, Marc Toussaint, Barbara Rakitsch, Christoph Zimmer:
Global Safe Sequential Learning via Efficient Knowledge Transfer. CoRR abs/2402.14402 (2024) - [i18]Jörn Tebbe, Christoph Zimmer, Ansgar Steland, Markus Lange-Hegermann, Fabian Mies:
Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning. CoRR abs/2402.18260 (2024) - [i17]Markus Lange-Hegermann, Christoph Zimmer:
Future Aware Safe Active Learning of Time Varying Systems using Gaussian Processes. CoRR abs/2405.10581 (2024) - [i16]Cen-You Li, Marc Toussaint, Barbara Rakitsch, Christoph Zimmer:
Amortized Active Learning for Nonparametric Functions. CoRR abs/2407.17992 (2024) - [i15]José C. Garay, Hannah Mohr, Daniel Peterseim, Christoph Zimmer:
Hierarchical Super-Localized Orthogonal Decomposition Method. CoRR abs/2407.18671 (2024) - [i14]Hon Sum Alec Yu, Christoph Zimmer, Duy Nguyen-Tuong:
Batch Active Learning in Gaussian Process Regression using Derivatives. CoRR abs/2408.01861 (2024) - 2023
- [c9]Matthias Bitzer, Mona Meister, Christoph Zimmer:
Hierarchical-Hyperplane Kernels for Actively Learning Gaussian Process Models of Nonstationary Systems. AISTATS 2023: 7897-7912 - [c8]Matthias Bitzer, Mona Meister, Christoph Zimmer:
Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels. UAI 2023: 184-194 - [i13]Robert Altmann, Christoph Zimmer:
A posteriori error estimation for parabolic problems with dynamic boundary conditions. CoRR abs/2302.02893 (2023) - [i12]Matthias Bitzer, Mona Meister, Christoph Zimmer:
Hierarchical-Hyperplane Kernels for Actively Learning Gaussian Process Models of Nonstationary Systems. CoRR abs/2303.10022 (2023) - [i11]Matthias Bitzer, Mona Meister, Christoph Zimmer:
Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels. CoRR abs/2306.09819 (2023) - [i10]Daniel Peterseim, Johan Wärnegård, Christoph Zimmer:
Super-localised wave function approximation of Bose-Einstein condensates. CoRR abs/2309.11985 (2023) - 2022
- [c7]Cen-You Li, Barbara Rakitsch, Christoph Zimmer:
Safe Active Learning for Multi-Output Gaussian Processes. AISTATS 2022: 4512-4551 - [c6]Matthias Bitzer, Mona Meister, Christoph Zimmer:
Structural Kernel Search via Bayesian Optimization and Symbolical Optimal Transport. NeurIPS 2022 - [i9]Cen-You Li, Barbara Rakitsch, Christoph Zimmer:
Safe Active Learning for Multi-Output Gaussian Processes. CoRR abs/2203.14849 (2022) - [i8]Robert Altmann, Christoph Zimmer:
Dissipation-preserving discretization of the Cahn-Hilliard equation with dynamic boundary conditions. CoRR abs/2203.15097 (2022) - [i7]Robert Altmann, Christoph Zimmer:
A second-order bulk-surface splitting for parabolic problems with dynamic boundary conditions. CoRR abs/2209.07835 (2022) - [i6]Matthias Bitzer, Mona Meister, Christoph Zimmer:
Structural Kernel Search via Bayesian Optimization and Symbolical Optimal Transport. CoRR abs/2210.11836 (2022) - 2021
- [c5]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: 346-361 - [i5]Robert Altmann, Christoph Zimmer:
Singular perturbation results for linear partial differential-algebraic equations of hyperbolic type. CoRR abs/2102.03177 (2021) - [i4]Hon Sum Alec Yu, Dingling Yao, Christoph Zimmer, Marc Toussaint, Duy Nguyen-Tuong:
Active Learning in Gaussian Process State Space Model. CoRR abs/2108.00819 (2021) - [i3]Robert Altmann, Balázs Kovács, Christoph Zimmer:
Bulk-surface Lie splitting for parabolic problems with dynamic boundary conditions. CoRR abs/2108.08147 (2021) - 2020
- [j9]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): 1008180 (2020) - [c4]Christoph Zimmer, Danny Driess, Mona Meister, Duy Nguyen-Tuong:
Adaptive Discretization for Evaluation of Probabilistic Cost Functions. AISTATS 2020: 2098-2108 - [c3]Christoph Zimmer, Reza Yaesoubi:
Influenza Forecasting Framework based on Gaussian Processes. ICML 2020: 11671-11679
2010 – 2019
- 2019
- [c2]Christoph Zimmer, Mona Meister, Duy Nguyen-Tuong:
Safe Active Learning for Time-Series Modeling with Gaussian Processes. GI-Jahrestagung 2019: 281 - [i2]Robert Altmann, Christoph Zimmer:
Exponential integrators for semi-linear parabolic problems with linear constraints. CoRR abs/1907.02828 (2019) - 2018
- [j8]Robert Altmann, Christoph Zimmer:
Runge-Kutta methods for linear semi-explicit operator differential-algebraic equations. Math. Comput. 87(309): 149-174 (2018) - [c1]Christoph Zimmer, Mona Meister, Duy Nguyen-Tuong:
Safe Active Learning for Time-Series Modeling with Gaussian Processes. NeurIPS 2018: 2735-2744 - 2017
- [j7]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): 26:1-26:14 (2017) - [j6]Christoph Zimmer, Reza Yaesoubi, Ted Cohen:
A Likelihood Approach for Real-Time Calibration of Stochastic Compartmental Epidemic Models. PLoS Comput. Biol. 13(1) (2017) - 2016
- [j5]Frank T. Bergmann, Sven Sahle, Christoph Zimmer:
Piecewise parameter estimation for stochastic models in COPASI. Bioinform. 32(10): 1586-1588 (2016) - [j4]Christoph Zimmer, Sven Sahle:
Comparison of approaches for parameter estimation on stochastic models: Generic least squares versus specialized approaches. Comput. Biol. Chem. 61: 75-85 (2016) - [i1]Christoph Zimmer, Frank T. Bergmann, Sven Sahle:
Reducing local minima in fitness landscapes of parameter estimation by using piecewise evaluation and state estimation. CoRR abs/1601.04458 (2016) - 2015
- [j3]Christoph Zimmer, Sven Sahle:
A termination criterion for parameter estimation in stochastic models in systems biology. Biosyst. 137: 55-63 (2015) - 2012
- [b1]Christoph Zimmer:
Parameter estimation for stochastic models of biochemical reactions. Heidelberg University, 2012, pp. 1-94
1980 – 1989
- 1980
- [j2]Christoph Zimmer, Gerhard Luck, Rainer Nüske:
Protection of (dA.dT) cluster regions in the DNAase I cleavage of DNA by specific interaction with netropsin. Nucleic Acids Res. 8(13): 2999-3010 (1980)
1970 – 1979
- 1976
- [j1]L. Kittler, Christoph Zimmer:
Conformational changes of nucleic acids and poly (d(A-T)-d(A-T)) caused by photoaddition of furocoumarins. Nucleic Acids Res. 3(1): 191-203 (1976)
Coauthor Index
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