42 results
(View BibTeX file of all listed publications)

**Controlling Heterogeneous Stochastic Growth Processes on Lattices with Limited Resources**
*In Proceedings of the 58th IEEE International Conference on Decision and Control (CDC) *, 58th IEEE International Conference on Decision and Control (CDC), December 2019 (proceedings) Accepted

**Limitations of the empirical Fisher approximation for natural gradient descent**
*Advances in Neural Information Processing Systems 32*, pages: 4158-4169, (Editors: H. Wallach and H. Larochelle and A. Beygelzimer and F. d’Alché-Buc and E. Fox and R. Garnett), Curran Associates, Inc., 33rd Annual Conference on Neural Information Processing Systems, December 2019 (conference)

**Convergence Guarantees for Adaptive Bayesian Quadrature Methods**
*Advances in Neural Information Processing Systems 32*, pages: 6234-6245, (Editors: H. Wallach and H. Larochelle and A. Beygelzimer and F. d’Alché-Buc and E. Fox and R. Garnett), Curran Associates, Inc., 33rd Annual Conference on Neural Information Processing Systems, December 2019 (conference)

**A Learnable Safety Measure**
Conference on Robot Learning, November 2019 (conference) Accepted

**Fast Feedback Control over Multi-hop Wireless Networks with Mode Changes and Stability Guarantees**
*ACM Transactions on Cyber-Physical Systems*, 4(2):18, November 2019 (article)

**Predictive Triggering for Distributed Control of Resource Constrained Multi-agent Systems**
In *Proceedings of the 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems*, pages: 79-84, 8th IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys), September 2019 (inproceedings)

**Event-triggered Pulse Control with Model Learning (if Necessary)**
In *Proceedings of the American Control Conference*, pages: 792-797, American Control Conference (ACC), July 2019 (inproceedings)

**Data-driven inference of passivity properties via Gaussian process optimization**
In *Proceedings of the European Control Conference*, European Control Conference (ECC), June 2019 (inproceedings)

**Actively Learning Gaussian Process Dynamics**
2019 (techreport) Submitted

**Trajectory-Based Off-Policy Deep Reinforcement Learning**
In *Proceedings of the International Conference on Machine Learning (ICML)*, International Conference on Machine Learning (ICML), June 2019 (inproceedings)

**Resource-aware IoT Control: Saving Communication through Predictive Triggering**
*IEEE Internet of Things Journal*, 6(3):5013-5028, June 2019 (article)

**DeepOBS: A Deep Learning Optimizer Benchmark Suite**
*7th International Conference on Learning Representations (ICLR)*, May 2019 (conference)

**Feedback Control Goes Wireless: Guaranteed Stability over Low-power Multi-hop Networks**
In *Proceedings of the 10th ACM/IEEE International Conference on Cyber-Physical Systems*, pages: 97-108, 10th ACM/IEEE International Conference on Cyber-Physical Systems, April 2019 (inproceedings)

**Demo Abstract: Fast Feedback Control and Coordination with Mode Changes for Wireless Cyber-Physical Systems**
*Proceedings of the 18th ACM/IEEE Conference on Information Processing in Sensor Networks (IPSN)*, pages: 340-341, 18th ACM/IEEE Conference on Information Processing in Sensor Networks (IPSN), April 2019 (poster)

**Fast and Robust Shortest Paths on Manifolds Learned from Data**
*Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS)*, 89, pages: 1506-1515, (Editors: Kamalika Chaudhuri and Masashi Sugiyama), PMLR, April 2019 (conference)

**Active Probabilistic Inference on Matrices for Pre-Conditioning in Stochastic Optimization**
*Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS)*, 89, pages: 1448-1457, (Editors: Kamalika Chaudhuri and Masashi Sugiyama), PMLR, April 2019 (conference)

**Fast and Resource-Efficient Control of Wireless Cyber-Physical Systems**
KTH Royal Institute of Technology, Stockholm, Febuary 2019 (phdthesis)

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

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

**Probabilistic Linear Solvers: A Unifying View**
*Statistics and Computing*, 2019 (article) Accepted

**Event-triggered Learning for Linear Quadratic Control**
2019 (techreport)

**Actively Learning Dynamical Systems with Gaussian Processes**
Mines ParisTech, PSL Research University, 2019 (mastersthesis)

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

**Probabilistic Progress Bars**
In *Conference on Pattern Recognition (GCPR)*, 8753, pages: 331-341, Lecture Notes in Computer Science, (Editors: Jiang, X., Hornegger, J., and Koch, R.), Springer, GCPR, September 2014 (inproceedings)

**Probabilistic Solutions to Differential Equations and their Application to Riemannian Statistics**
In *Proceedings of the 17th International Conference on Artificial Intelligence and Statistics*, 33, pages: 347-355, JMLR: Workshop and Conference Proceedings, (Editors: S Kaski and J Corander), Microtome Publishing, Brookline, MA, AISTATS, April 2014 (inproceedings)

**Local Gaussian Regression**
*arXiv preprint*, March 2014, clmc (misc)

**Probabilistic ODE Solvers with Runge-Kutta Means**
In *Advances in Neural Information Processing Systems 27*, pages: 739-747, (Editors: Z. Ghahramani, M. Welling, C. Cortes, N.D. Lawrence and K.Q. Weinberger), Curran Associates, Inc., 28th Annual Conference on Neural Information Processing Systems (NIPS), 2014 (inproceedings)

**Active Learning of Linear Embeddings for Gaussian Processes**
In *Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence*, pages: 230-239, (Editors: NL Zhang and J Tian), AUAI Press , Corvallis, Oregon, UAI2014, 2014, another link: http://arxiv.org/abs/1310.6740 (inproceedings)

**Probabilistic Shortest Path Tractography in DTI Using Gaussian Process ODE Solvers**
In *Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014, Lecture Notes in Computer Science Vol. 8675*, pages: 265-272, (Editors: P. Golland, N. Hata, C. Barillot, J. Hornegger and R. Howe), Springer, Heidelberg, MICCAI, 2014 (inproceedings)

**Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature**
In *Advances in Neural Information Processing Systems 27*, pages: 2789-2797, (Editors: Z. Ghahramani, M. Welling, C. Cortes, N.D. Lawrence and K.Q. Weinberger), Curran Associates, Inc., 28th Annual Conference on Neural Information Processing Systems (NIPS), 2014 (inproceedings)

**A Self-Tuning LQR Approach Demonstrated on an Inverted Pendulum**
In *Proceedings of the 19th IFAC World Congress*, Cape Town, South Africa, 2014 (inproceedings)

**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)

**Incremental Local Gaussian Regression**
In *Advances in Neural Information Processing Systems 27*, pages: 972-980, (Editors: Z. Ghahramani, M. Welling, C. Cortes, N.D. Lawrence and K.Q. Weinberger), 28th Annual Conference on Neural Information Processing Systems (NIPS), 2014, clmc (inproceedings)

**Efficient Bayesian Local Model Learning for Control**
In *Proceedings of the IEEE International Conference on Intelligent Robots and Systems*, pages: 2244 - 2249, IROS, 2014, clmc (inproceedings)

**Stability Analysis of Distributed Event-Based State Estimation**
In *Proceedings of the 53rd IEEE Conference on Decision and Control*, Los Angeles, CA, 2014 (inproceedings)

**Quasi-Newton Methods: A New Direction**
In *Proceedings of the 29th International Conference on Machine Learning*, pages: 25-32, ICML ’12, (Editors: John Langford and Joelle Pineau), Omnipress, New York, NY, USA, ICML, July 2012 (inproceedings)

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

**Learning Tracking Control with Forward Models**
In pages: 259 -264, IEEE International Conference on Robotics and Automation (ICRA), May 2012 (inproceedings)

**Approximate Gaussian Integration using Expectation Propagation**
In pages: 1-11, -, January 2012 (inproceedings) Submitted

**Kernel Topic Models**
In *Fifteenth International Conference on Artificial Intelligence and Statistics*, 22, pages: 511-519, JMLR Proceedings, (Editors: Lawrence, N. D. and Girolami, M.), JMLR.org, AISTATS , 2012 (inproceedings)

**Nonparametric System Identification and Control for Periodic Error Correction in Telescopes**
University of Stuttgart, 2012 (diplomathesis)