ei
von Kügelgen, J., Mey, A., Loog, M., Schölkopf, B.
Semi-supervised learning, causality, and the conditional cluster assumption
NeurIPS 2019 Workshop “Do the right thing”: machine learning and causal inference for improved decision making, December 2019 (poster) Accepted
ics
Haksar, R., Solowjow, F., Trimpe, S., Schwager, M.
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
ei
von Kügelgen, J., Rubenstein, P., Schölkopf, B., Weller, A.
Optimal experimental design via Bayesian optimization: active causal structure learning for Gaussian process networks
NeurIPS 2019 Workshop “Do the right thing”: machine learning and causal inference for improved decision making, December 2019 (poster) Accepted
ics
Mager, F., Baumann, D., Jacob, R., Thiele, L., Trimpe, S., Zimmerling, M.
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)
ei
Meding, K., Schölkopf, B., Wichmann, F. A.
Perception of temporal dependencies in autoregressive motion
European Conference on Visual Perception (ECVP), 2019 (poster)
mms
Keskinbora, K.
Prototyping Micro- and Nano-Optics with Focused Ion Beam Lithography
SL48, pages: 46, SPIE.Spotlight, SPIE Press, Bellingham, WA, 2019 (book)
ei
Bruijns, S. A., Meding, K., Schölkopf, B., Wichmann, F. A.
Phenomenal Causality and Sensory Realism
European Conference on Visual Perception (ECVP), 2019 (poster)
ei
Aghaeifar, A., Loktyushin, A., Eschelbach, M., Scheffler, K.
Improving performance of linear field generation with multi-coil setup by optimizing coils position
Magnetic Resonance Materials in Physics, Biology and Medicine, 30(Supplement 1):S259, 34th Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine and Biology (ESMRMB), October 2017 (poster)
ei
Loktyushin, A., Ehses, P., Schölkopf, B., Scheffler, K.
Estimating B0 inhomogeneities with projection FID navigator readouts
25th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM), April 2017 (poster)
ei
Feng, X., Loktyushin, A., Deistung, A., Reichenbach, J.
Image Quality Improvement by Applying Retrospective Motion Correction on Quantitative Susceptibility Mapping and R2*
25th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM), April 2017 (poster)
ei
Peters, J., Janzing, D., Schölkopf, B.
Elements of Causal Inference - Foundations and Learning Algorithms
Adaptive Computation and Machine Learning Series, The MIT Press, Cambridge, MA, USA, 2017 (book)
pi
Sitti, M.
Mobile Microrobotics
Mobile Microrobotics, The MIT Press, Cambridge, MA, 2017 (book)
ei
pn
Gretton, A., Hennig, P., Rasmussen, C., Schölkopf, B.
New Directions for Learning with Kernels and Gaussian Processes (Dagstuhl Seminar 16481)
Dagstuhl Reports, 6(11):142-167, 2017 (book)
sf
Bramlage, L.
Design of a visualization scheme for functional connectivity data of Human Brain
Hochschule Osnabrück - University of Applied Sciences, 2017 (thesis)
ei
Safavi, S., Panagiotaropoulos, T., Kapoor, V., Logothetis, N. K., Besserve, M.
Generalized phase locking analysis of electrophysiology data
ESI Systems Neuroscience Conference (ESI-SyNC 2017): Principles of Structural and Functional Connectivity, 2017 (poster)