Conformational changes of nucleic acids and poly (d(A-T)-d(A-T)) caused by photoaddition of furocoumarins. - L. Kittler; Christoph Zimmer (Nucleic Acids Res., 1976)

Protection of (dA.dT) cluster regions in the DNAase I cleavage of DNA by specific interaction with netropsin. - Christoph Zimmer; Gerhard Luck; Rainer Nüske (Nucleic Acids Res., 1980)

Parameter estimation for stochastic models of biochemical reactions. - Christoph Zimmer (2012)

A termination criterion for parameter estimation in stochastic models in systems biology. - Christoph Zimmer; Sven Sahle (Biosyst., 2015)

Piecewise parameter estimation for stochastic models in COPASI. - Frank T. Bergmann; Sven Sahle; Christoph Zimmer (Bioinform., 2016)

Comparison of approaches for parameter estimation on stochastic models: Generic least squares versus specialized approaches. - Christoph Zimmer; Sven Sahle (Comput. Biol. Chem., 2016)

Reducing local minima in fitness landscapes of parameter estimation by using piecewise evaluation and state estimation. - Christoph Zimmer; Frank T. Bergmann; Sven Sahle (CoRR, 2016)

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. - Luis U. Aguilera; Christoph Zimmer; Ursula Kummer (BMC Syst. Biol., 2017)

A Likelihood Approach for Real-Time Calibration of Stochastic Compartmental Epidemic Models. - Christoph Zimmer; Reza Yaesoubi; Ted Cohen (PLoS Comput. Biol., 2017)

Safe Active Learning for Time-Series Modeling with Gaussian Processes. - Christoph Zimmer; Mona Meister; Duy Nguyen-Tuong (NeurIPS, 2018)

Runge-Kutta methods for linear semi-explicit operator differential-algebraic equations. - Robert Altmann; Christoph Zimmer (Math. Comput., 2018)

Exponential integrators for semi-linear parabolic problems with linear constraints. - Robert Altmann; Christoph Zimmer (CoRR, 2019)

Adaptive Discretization for Evaluation of Probabilistic Cost Functions. - Christoph Zimmer; Danny Driess; Mona Meister; Duy Nguyen-Tuong (AISTATS, 2020)

Influenza Forecasting Framework based on Gaussian Processes. - Christoph Zimmer; Reza Yaesoubi (ICML, 2020)

Tracking and predicting U.S. influenza activity with a real-time surveillance network. - Sequoia I. Leuba; Reza Yaesoubi; Marina Antillon; Ted Cohen; Christoph Zimmer (PLoS Comput. Biol., 2020)

Active Learning in Gaussian Process State Space Model. - Hon Sum Alec Yu; Dingling Yao; Christoph Zimmer; Marc Toussaint; Duy Nguyen-Tuong (ECML/PKDD (3), 2021)

Singular perturbation results for linear partial differential-algebraic equations of hyperbolic type. - Robert Altmann; Christoph Zimmer (CoRR, 2021)

Bulk-surface Lie splitting for parabolic problems with dynamic boundary conditions. - Robert Altmann; Balázs Kovács; Christoph Zimmer (CoRR, 2021)

Safe Active Learning for Multi-Output Gaussian Processes. - Cen-You Li; Barbara Rakitsch; Christoph Zimmer (AISTATS, 2022)

Structural Kernel Search via Bayesian Optimization and Symbolical Optimal Transport. - Matthias Bitzer 001; Mona Meister; Christoph Zimmer (NeurIPS, 2022)

Dissipation-preserving discretization of the Cahn-Hilliard equation with dynamic boundary conditions. - Robert Altmann; Christoph Zimmer (CoRR, 2022)

A second-order bulk-surface splitting for parabolic problems with dynamic boundary conditions. - Robert Altmann; Christoph Zimmer (CoRR, 2022)

Hierarchical-Hyperplane Kernels for Actively Learning Gaussian Process Models of Nonstationary Systems. - Matthias Bitzer 001; Mona Meister; Christoph Zimmer (AISTATS, 2023)

Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels. - Matthias Bitzer 001; Mona Meister; Christoph Zimmer (UAI, 2023)

A posteriori error estimation for parabolic problems with dynamic boundary conditions. - Robert Altmann; Christoph Zimmer (CoRR, 2023)

Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning. - Jörn Tebbe; Christoph Zimmer; Ansgar Steland; Markus Lange-Hegermann; Fabian Mies (AISTATS, 2024)

Amortized Active Learning for Nonparametric Functions. - Cen-You Li; Marc Toussaint; Barbara Rakitsch; Christoph Zimmer (IAL@PKDD/ECML, 2024)

Hierarchical Super-Localized Orthogonal Decomposition Method. - José C. Garay; Hannah Mohr; Daniel Peterseim; Christoph Zimmer (CoRR, 2024)

Batch Active Learning in Gaussian Process Regression using Derivatives. - Hon Sum Alec Yu; Christoph Zimmer; Duy Nguyen-Tuong (CoRR, 2024)

Safe Active Learning for Gaussian Differential Equations. - Leon Glass; Katharina Ensinger; Christoph Zimmer (CoRR, 2024)

Super-localised wave function approximation of Bose-Einstein condensates. - Daniel Peterseim; Johan Wärnegård; Christoph Zimmer (J. Comput. Phys., 2024)

Future-aware Safe Active Learning of Time Varying Systems using Gaussian Processes. - Markus Lange-Hegermann; Christoph Zimmer (Trans. Mach. Learn. Res., 2025)

Global Safe Sequential Learning via Efficient Knowledge Transfer. - Cen-You Li; Olaf Dünnbier; Marc Toussaint; Barbara Rakitsch; Christoph Zimmer (Trans. Mach. Learn. Res., 2025)

Amortized Safe Active Learning for Real-Time Decision-Making: Pretrained Neural Policies from Simulated Nonparametric Functions. - Cen-You Li; Marc Toussaint; Barbara Rakitsch; Christoph Zimmer (CoRR, 2025)

Gautschi-type and implicit-explicit integrators for constrained wave equations. - Robert Altmann; B. Dörich; Christoph Zimmer (CoRR, 2025)