Christoph Zimmer

49 papers A* 4A 5Journal 36Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Causal Structure Learning for Dynamical Systems with Theoretical Score Analysis. AAAI Nicholas Tagliapietra, Katharina Ensinger, Christoph Zimmer, Osman Mian
2025	J	`jnl`	Amortized Safe Active Learning for Real-Time Decision-Making: Pretrained Neural Policies from Simulated Nonparametric Functions. CoRR Cen-You Li, Marc Toussaint, Barbara Rakitsch, Christoph Zimmer
2025	J	`jnl`	Causal Structure Learning for Dynamical Systems with Theoretical Score Analysis. CoRR Nicholas Tagliapietra, Katharina Ensinger, Christoph Zimmer, Osman Mian
2025	J	`jnl`	Future-aware Safe Active Learning of Time Varying Systems using Gaussian Processes. Trans. Mach. Learn. Res. Markus Lange-Hegermann, Christoph Zimmer
2025	J	`jnl`	Gautschi-type and implicit-explicit integrators for constrained wave equations. CoRR Robert Altmann, B. Dörich, Christoph Zimmer
2025	J	`jnl`	Global Safe Sequential Learning via Efficient Knowledge Transfer. Trans. Mach. Learn. Res. Cen-You Li, Olaf Dünnbier, Marc Toussaint, Barbara Rakitsch, Christoph Zimmer
2024	—	`conf`	Amortized Active Learning for Nonparametric Functions. IAL@PKDD/ECML Cen-You Li, Marc Toussaint, Barbara Rakitsch, Christoph Zimmer
2024	J	`jnl`	Amortized Active Learning for Nonparametric Functions. CoRR Cen-You Li, Marc Toussaint, Barbara Rakitsch, Christoph Zimmer
2024	J	`jnl`	Batch Active Learning in Gaussian Process Regression using Derivatives. CoRR Hon Sum Alec Yu, Christoph Zimmer, Duy Nguyen-Tuong
2024	A	`conf`	Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning. AISTATS Jörn Tebbe, Christoph Zimmer, Ansgar Steland, Markus Lange-Hegermann, Fabian Mies
2024	J	`jnl`	Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning. CoRR Jörn Tebbe, Christoph Zimmer, Ansgar Steland, Markus Lange-Hegermann, Fabian Mies
2024	J	`jnl`	Future Aware Safe Active Learning of Time Varying Systems using Gaussian Processes. CoRR Markus Lange-Hegermann, Christoph Zimmer
2024	J	`jnl`	Global Safe Sequential Learning via Efficient Knowledge Transfer. CoRR Cen-You Li, Olaf Dünnbier, Marc Toussaint, Barbara Rakitsch, Christoph Zimmer
2024	J	`jnl`	Hierarchical Super-Localized Orthogonal Decomposition Method. CoRR José C. Garay, Hannah Mohr, Daniel Peterseim, Christoph Zimmer
2024	J	`jnl`	Safe Active Learning for Gaussian Differential Equations. CoRR Leon Glass, Katharina Ensinger, Christoph Zimmer
2024	J	`jnl`	Safe Active Learning for Time-Series Modeling with Gaussian Processes. CoRR Christoph Zimmer, Mona Meister, Duy Nguyen-Tuong
2024	J	`jnl`	Super-localised wave function approximation of Bose-Einstein condensates. J. Comput. Phys. Daniel Peterseim, Johan Wärnegård, Christoph Zimmer
2023	J	`jnl`	A posteriori error estimation for parabolic problems with dynamic boundary conditions. CoRR Robert Altmann, Christoph Zimmer
2023	A	`conf`	Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels. UAI Matthias Bitzer, Mona Meister, Christoph Zimmer
2023	J	`jnl`	Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels. CoRR Matthias Bitzer, Mona Meister, Christoph Zimmer
2023	A	`conf`	Hierarchical-Hyperplane Kernels for Actively Learning Gaussian Process Models of Nonstationary Systems. AISTATS Matthias Bitzer, Mona Meister, Christoph Zimmer
2023	J	`jnl`	Hierarchical-Hyperplane Kernels for Actively Learning Gaussian Process Models of Nonstationary Systems. CoRR Matthias Bitzer, Mona Meister, Christoph Zimmer
2023	J	`jnl`	Super-localised wave function approximation of Bose-Einstein condensates. CoRR Daniel Peterseim, Johan Wärnegård, Christoph Zimmer
2022	J	`jnl`	A second-order bulk-surface splitting for parabolic problems with dynamic boundary conditions. CoRR Robert Altmann, Christoph Zimmer
2022	J	`jnl`	Dissipation-preserving discretization of the Cahn-Hilliard equation with dynamic boundary conditions. CoRR Robert Altmann, Christoph Zimmer
2022	A	`conf`	Safe Active Learning for Multi-Output Gaussian Processes. AISTATS Cen-You Li, Barbara Rakitsch, Christoph Zimmer
2022	J	`jnl`	Safe Active Learning for Multi-Output Gaussian Processes. CoRR Cen-You Li, Barbara Rakitsch, Christoph Zimmer
2022	A*	`conf`	Structural Kernel Search via Bayesian Optimization and Symbolical Optimal Transport. NeurIPS Matthias Bitzer, Mona Meister, Christoph Zimmer
2022	J	`jnl`	Structural Kernel Search via Bayesian Optimization and Symbolical Optimal Transport. CoRR Matthias Bitzer, Mona Meister, Christoph Zimmer
2021	—	`conf`	Active Learning in Gaussian Process State Space Model. ECML/PKDD (3) Hon Sum Alec Yu, Dingling Yao, Christoph Zimmer, Marc Toussaint, Duy Nguyen-Tuong
2021	J	`jnl`	Active Learning in Gaussian Process State Space Model. CoRR Hon Sum Alec Yu, Dingling Yao, Christoph Zimmer, Marc Toussaint, Duy Nguyen-Tuong
2021	J	`jnl`	Bulk-surface Lie splitting for parabolic problems with dynamic boundary conditions. CoRR Robert Altmann, Balázs Kovács, Christoph Zimmer
2021	J	`jnl`	Singular perturbation results for linear partial differential-algebraic equations of hyperbolic type. CoRR Robert Altmann, Christoph Zimmer
2020	A	`conf`	Adaptive Discretization for Evaluation of Probabilistic Cost Functions. AISTATS Christoph Zimmer, Danny Driess, Mona Meister, Duy Nguyen-Tuong
2020	A*	`conf`	Influenza Forecasting Framework based on Gaussian Processes. ICML Christoph Zimmer, Reza Yaesoubi
2020	J	`jnl`	Tracking and predicting U.S. influenza activity with a real-time surveillance network. PLoS Comput. Biol. Sequoia I. Leuba, Reza Yaesoubi, Marina Antillon, Ted Cohen, Christoph Zimmer
2019	J	`jnl`	Exponential integrators for semi-linear parabolic problems with linear constraints. CoRR Robert Altmann, Christoph Zimmer
2019	—	`conf`	Safe Active Learning for Time-Series Modeling with Gaussian Processes. GI-Jahrestagung Christoph Zimmer, Mona Meister, Duy Nguyen-Tuong
2018	J	`jnl`	Runge-Kutta methods for linear semi-explicit operator differential-algebraic equations. Math. Comput. Robert Altmann, Christoph Zimmer
2018	A*	`conf`	Safe Active Learning for Time-Series Modeling with Gaussian Processes. NeurIPS Christoph Zimmer, Mona Meister, Duy Nguyen-Tuong
2017	J	`jnl`	A Likelihood Approach for Real-Time Calibration of Stochastic Compartmental Epidemic Models. PLoS Comput. Biol. Christoph Zimmer, Reza Yaesoubi, Ted Cohen
2017	J	`jnl`	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. Luis U. Aguilera, Christoph Zimmer, Ursula Kummer
2016	J	`jnl`	Comparison of approaches for parameter estimation on stochastic models: Generic least squares versus specialized approaches. Comput. Biol. Chem. Christoph Zimmer, Sven Sahle
2016	J	`jnl`	Piecewise parameter estimation for stochastic models in COPASI. Bioinform. Frank T. Bergmann, Sven Sahle, Christoph Zimmer
2016	J	`jnl`	Reducing local minima in fitness landscapes of parameter estimation by using piecewise evaluation and state estimation. CoRR Christoph Zimmer, Frank T. Bergmann, Sven Sahle
2015	J	`jnl`	A termination criterion for parameter estimation in stochastic models in systems biology. Biosyst. Christoph Zimmer, Sven Sahle
2012	—	`—`	Parameter estimation for stochastic models of biochemical reactions. Christoph Zimmer
1980	J	`jnl`	Protection of (dA.dT) cluster regions in the DNAase I cleavage of DNA by specific interaction with netropsin. Nucleic Acids Res. Christoph Zimmer, Gerhard Luck, Rainer Nüske
1976	J	`jnl`	Conformational changes of nucleic acids and poly (d(A-T)-d(A-T)) caused by photoaddition of furocoumarins. Nucleic Acids Res. L. Kittler, Christoph Zimmer