40 results
(View BibTeX file of all listed publications)

**Data-efficient Auto-tuning with Bayesian Optimization: An Industrial Control Study**
*IEEE Transactions on Control Systems Technology*, 2019 (article) Accepted

**Hierarchical Event-triggered Learning for Cyclically Excited Systems with Application to Wireless Sensor Networks**
*IEEE Control Systems Letters*, 2019 (article) Accepted

**Learning Environmental Field Exploration with Computationally Constrained Underwater Robots: Gaussian Processes Meet Stochastic Optimal Control**
*Sensors*, 19, 2019 (article)

ics
Solowjow, F., Trimpe, S.
**Event-triggered Learning**
2019 (techreport) Submitted

**Resource-aware IoT Control: Saving Communication through Predictive Triggering**
*IEEE Internet of Things Journal*, 2019 (article) Accepted

**Control-guided Communication: Efficient Resource Arbitration and Allocation in Multi-hop Wireless Control Systems**
*IEEE Control Systems Letters*, 2019 (article) Accepted

**Probabilistic Solutions To Ordinary Differential Equations As Non-Linear Bayesian Filtering: A New Perspective**
*ArXiv preprint 2018*, arXiv:1810.03440 [stat.ME], October 2018 (article)

**Learning an Approximate Model Predictive Controller with Guarantees**
*IEEE Control Systems Letters*, 2(3):543-548, July 2018 (article)

**Convergence Rates of Gaussian ODE Filters**
*arXiv preprint 2018*, arXiv:1807.09737 [math.NA], July 2018 (article)

**Distributed Event-Based State Estimation for Networked Systems: An LMI Approach**
*IEEE Transactions on Automatic Control*, 63(1):269-276, January 2018 (article)

**Gaussian Processes and Kernel Methods: A Review on Connections and Equivalences**
*Arxiv e-prints*, arXiv:1805.08845v1 [stat.ML], 2018 (article)

**Counterfactual Mean Embedding: A Kernel Method for Nonparametric Causal Inference**
*Arxiv e-prints*, arXiv:1805.08845v1 [stat.ML], 2018 (article)

**Model-based Kernel Sum Rule: Kernel Bayesian Inference with Probabilistic Models**
*Arxiv e-prints*, arXiv:1409.5178v2 [stat.ML], 2018 (article)

**A probabilistic model for the numerical solution of initial value problems**
*Statistics and Computing*, Springer US, 2018 (article)

**Analytical incorporation of fractionation effects in probabilistic treatment planning for intensity-modulated proton therapy**
*Medical Physics*, 2018 (article)

**Probabilistic Line Searches for Stochastic Optimization**
*Journal of Machine Learning Research*, 18(119):1-59, November 2017 (article)

**Event-based State Estimation: An Emulation-based Approach**
*IET Control Theory & Applications*, 11(11):1684-1693, July 2017 (article)

**Convergence Analysis of Deterministic Kernel-Based Quadrature Rules in Misspecified Settings**
*Arxiv e-prints*, arXiv:1709.00147v1 [math.NA], 2017 (article)

**Early Stopping Without a Validation Set**
*arXiv preprint arXiv:1703.09580*, 2017 (article)

**Krylov Subspace Recycling for Fast Iterative Least-Squares in Machine Learning**
*arXiv preprint arXiv:1706.00241*, 2017 (article)

**Efficiency of analytical and sampling-based uncertainty propagation in intensity-modulated proton therapy**
*Physics in Medicine & Biology*, 62(14):5790-5807, 2017 (article)

**Analytical probabilistic modeling of RBE-weighted dose for ion therapy**
*Physics in Medicine and Biology (PMB)*, 62(23):8959-8982, 2017 (article)

**A New Perspective and Extension of the Gaussian Filter**
*The International Journal of Robotics Research*, 35(14):1731-1749, December 2016 (article)

**Supplemental material for ’Communication Rate Analysis for Event-based State Estimation’**
Max Planck Institute for Intelligent Systems, January 2016 (techreport)

**Gaussian Process-Based Predictive Control for Periodic Error Correction **
*IEEE Transactions on Control Systems Technology *, 24(1):110-121, 2016 (article)

**Dual Control for Approximate Bayesian Reinforcement Learning**
*Journal of Machine Learning Research*, 17(127):1-30, 2016 (article)

**Event-based Sampling for Reducing Communication Load in Realtime Human Motion Analysis by Wireless Inertial Sensor Networks**
*Current Directions in Biomedical Engineering*, 2(1):711-714, De Gruyter, 2016 (article)

**Distributed Event-based State Estimation**
Max Planck Institute for Intelligent Systems, November 2015 (techreport)

**Probabilistic Interpretation of Linear Solvers**
*SIAM Journal on Optimization*, 25(1):234-260, 2015 (article)

**Probabilistic numerics and uncertainty in computations**
*Proceedings of the Royal Society of London A: Mathematical, Physical and Engineering Sciences*, 471(2179), 2015 (article)

**Wenn es was zu sagen gibt**
*Bild der Wissenschaft*, pages: 20-23, November 2014, (popular science article in German) (article)

**A Limiting Property of the Matrix Exponential**
*IEEE Transactions on Automatic Control*, 59(4):1105-1110, 2014 (article)

**Event-Based State Estimation With Variance-Based Triggering**
*IEEE Transactions on Automatic Control*, 59(12):3266-3281, 2014 (article)

**Quasi-Newton Methods: A New Direction**
*Journal of Machine Learning Research*, 14(1):843-865, March 2013 (article)

**Analytical probabilistic modeling for radiation therapy treatment planning**
*Physics in Medicine and Biology*, 58(16):5401-5419, 2013 (article)

**Animating Samples from Gaussian Distributions**
(8), Max Planck Institute for Intelligent Systems, Tübingen, Germany, 2013 (techreport)

**The Balancing Cube: A Dynamic Sculpture as Test Bed for Distributed Estimation and Control**
*IEEE Control Systems Magazine*, 32(6):48-75, December 2012 (article)

**Entropy Search for Information-Efficient Global Optimization**
*Journal of Machine Learning Research*, 13, pages: 1809-1837, -, June 2012 (article)

**Expectation Propagation on the Maximum of Correlated Normal Variables**
Cavendish Laboratory: University of Cambridge, July 2009 (techreport)

**Point-spread functions for backscattered imaging in the scanning electron microscope **
*Journal of Applied Physics *, 102(12):1-8, December 2007 (article)