Christoph Zimmer

According to our database, Christoph Zimmer authored at least 26 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning.

Jörn Tebbe, Christoph Zimmer, Ansgar Steland, Markus Lange-Hegermann, Fabian Mies

CoRR, 2024

Global Safe Sequential Learning via Efficient Knowledge Transfer.

Cen-You Li, Olaf Duennbier, Marc Toussaint, Barbara Rakitsch, Christoph Zimmer

CoRR, 2024

2023

Super-localised wave function approximation of Bose-Einstein condensates.

Daniel Peterseim, Johan Wärnegård, Christoph Zimmer

CoRR, 2023

A posteriori error estimation for parabolic problems with dynamic boundary conditions.

Robert Altmann, Christoph Zimmer

CoRR, 2023

Amortized Inference for Gaussian Process Hyperparameters of Structured Kernels.

Matthias Bitzer, Mona Meister, Christoph Zimmer

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Hierarchical-Hyperplane Kernels for Actively Learning Gaussian Process Models of Nonstationary Systems.

Matthias Bitzer, Mona Meister, Christoph Zimmer

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

A second-order bulk-surface splitting for parabolic problems with dynamic boundary conditions.

Robert Altmann, Christoph Zimmer

CoRR, 2022

Dissipation-preserving discretization of the Cahn-Hilliard equation with dynamic boundary conditions.

Robert Altmann, Christoph Zimmer

CoRR, 2022

Structural Kernel Search via Bayesian Optimization and Symbolical Optimal Transport.

Matthias Bitzer, Mona Meister, Christoph Zimmer

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Safe Active Learning for Multi-Output Gaussian Processes.

Cen-You Li, Barbara Rakitsch, Christoph Zimmer

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Bulk-surface Lie splitting for parabolic problems with dynamic boundary conditions.

Robert Altmann, Balázs Kovács, Christoph Zimmer

CoRR, 2021

Singular perturbation results for linear partial differential-algebraic equations of hyperbolic type.

Robert Altmann, Christoph Zimmer

CoRR, 2021

Active Learning in Gaussian Process State Space Model.

Hon Sum Alec Yu, Dingling Yao, Christoph Zimmer, Marc Toussaint, Duy Nguyen-Tuong

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

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., November, 2020

Influenza Forecasting Framework based on Gaussian Processes.

Christoph Zimmer, Reza Yaesoubi

Proceedings of the 37th International Conference on Machine Learning, 2020

Adaptive Discretization for Evaluation of Probabilistic Cost Functions.

Christoph Zimmer, Danny Driess, Mona Meister, Duy Nguyen-Tuong

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Exponential integrators for semi-linear parabolic problems with linear constraints.

Robert Altmann, Christoph Zimmer

CoRR, 2019

Safe Active Learning for Time-Series Modeling with Gaussian Processes.

Christoph Zimmer, Mona Meister, Duy Nguyen-Tuong

Proceedings of the 49. Jahrestagung der Gesellschaft für Informatik, 50 Jahre Gesellschaft für Informatik, 2019

2018

Runge-Kutta methods for linear semi-explicit operator differential-algebraic equations.

Robert Altmann, Christoph Zimmer

Math. Comput., 2018

2017

A Likelihood Approach for Real-Time Calibration of Stochastic Compartmental Epidemic Models.

Christoph Zimmer, Reza Yaesoubi, Ted Cohen

PLoS Comput. Biol., 2017

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

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

Comparison of approaches for parameter estimation on stochastic models: Generic least squares versus specialized approaches.

Christoph Zimmer, Sven Sahle

Comput. Biol. Chem., 2016

Piecewise parameter estimation for stochastic models in COPASI.

Frank T. Bergmann, Sven Sahle, Christoph Zimmer

Bioinform., 2016

2015

A termination criterion for parameter estimation in stochastic models in systems biology.

Christoph Zimmer, Sven Sahle

Biosyst., 2015

2012

Parameter estimation for stochastic models of biochemical reactions.

Christoph Zimmer

PhD thesis, 2012