23 results
(View BibTeX file of all listed publications)

**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)

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

**On the positivity and magnitudes of Bayesian quadrature weights**
*Statistics and Computing*, 29, pages: 1317-1333, 2019 (article)

**Probabilistic solutions to ordinary differential equations as nonlinear Bayesian filtering: a new perspective**
*Statistics and Computing*, 29(6):1297-1315, 2019 (article)

**Dense connectomic reconstruction in layer 4 of the somatosensory cortex**
*Science*, 366(6469):eaay3134, American Association for the Advancement of Science, 2019 (article)

**Probabilistic Linear Solvers: A Unifying View**
*Statistics and Computing*, 29(6):1249-1263, 2019 (article)

**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)

**New Directions for Learning with Kernels and Gaussian Processes (Dagstuhl Seminar 16481)**
*Dagstuhl Reports*, 6(11):142-167, 2017 (book)

**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)