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
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)
dlg
Drama, O.
Impact of Trunk Orientation for Dynamic Bipedal Locomotion
Dynamic Walking Conference, May 2018 (talk)
ics
Mager, F., Baumann, D., Trimpe, S., Zimmerling, M.
Poster Abstract: Toward Fast Closed-loop Control over Multi-hop Low-power Wireless Networks
Proceedings of the 17th ACM/IEEE Conference on Information Processing in Sensor Networks (IPSN), pages: 158-159, Porto, Portugal, April 2018 (poster)
ei
Goris, R., Henaff, O., Meding, K.
Representation of sensory uncertainty in macaque visual cortex
Computational and Systems Neuroscience (COSYNE) 2018, March 2018 (poster)
ei
Safavi, S., Panagiotaropoulos, T., Kapoor, V., Logothetis, N. K., Besserve, M.
Generalized phase locking analysis of electrophysiology data
7th AREADNE Conference on Research in Encoding and Decoding of Neural Ensembles, 2018 (poster)
ei
Pérez-Pellitero, E., Sajjadi, M. S. M., Hirsch, M., Schölkopf, B.
Photorealistic Video Super Resolution
Workshop and Challenge on Perceptual Image Restoration and Manipulation (PIRM) at the 15th European Conference on Computer Vision (ECCV), 2018 (poster)
ei
Meding, K., Hirsch, M., Wichmann, F. A.
Retinal image quality of the human eye across the visual field
14th Biannual Conference of the German Society for Cognitive Science (KOGWIS 2018), 2018 (poster)
ei
Hill, NJ.
Machine Learning for Brain-Computer Interfaces
Mini-Symposia on Assistive Machine Learning for People with Disabilities at NIPS (AMD), December 2009 (talk)
ei
Seldin, Y.
PAC-Bayesian Approach to Formulation of Clustering Objectives
NIPS Workshop on "Clustering: Science or Art? Towards Principled Approaches", December 2009 (talk)
ei
Shelton, JA.
Semi-supervised Kernel Canonical Correlation Analysis of Human Functional Magnetic Resonance Imaging Data
Women in Machine Learning Workshop (WiML), December 2009 (talk)
ei
Hill, NJ.
Event-Related Potentials in Brain-Computer Interfacing
Invited lecture on the bachelor & masters course "Introduction to Brain-Computer Interfacing", October 2009 (talk)
ei
Hill, NJ.
BCI2000 and Python
Invited lecture at the 5th International BCI2000 Workshop, October 2009 (talk)
ei
Hill, NJ., Mellinger, J.
Implementing a Signal Processing Filter in BCI2000 Using C++
Invited lecture at the 5th International BCI2000 Workshop, October 2009 (talk)
ei
Kolb, A., Hofmann, M., Sossi, V., Wehrl, H., Sauter, A., Schmid, A., Schlemmer, H., Claussen, C., Pichler, B.
Clinical PET/MRI-System and Its Applications with MRI Based Attenuation Correction
IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC 2009), 2009, pages: 1, October 2009 (poster)
ei
Klotzbücher, K., Kobayashi, Y., Shervashidze, N., Borgwardt, K., Weigel, D.
A flowering-time gene network model for association analysis in Arabidopsis thaliana
2009(39):95-96, German Conference on Bioinformatics (GCB '09), September 2009 (poster)
ei
Kolb, A., Hofmann, M., Sossi, V., Wehrl, H., Sauter, A., Schmid, A., Judenhofer, M., Schlemmer, H., Claussen, C., Pichler, B.
Initial Data from a first PET/MRI-System and its Applications in Clinical Studies Using MRI Based Attenuation Correction
2009 World Molecular Imaging Congress, 2009, pages: 1200, September 2009 (poster)
ei
Lampert, C., Peters, J.
A High-Speed Object Tracker from Off-the-Shelf Components
First IEEE Workshop on Computer Vision for Humanoid Robots in Real Environments at ICCV 2009, 1, pages: 1, September 2009 (poster)
ei
Macke, J., Wichmann, F.
Estimating Critical Stimulus Features from Psychophysical Data: The Decision-Image Technique Applied to Human Faces
Journal of Vision, 9(8):31, 9th Annual Meeting of the Vision Sciences Society (VSS), August 2009 (poster)
ei
Liefhold, C., Grosse-Wentrup, M.
Informative Brain Regions during Motor Imagery: Evidence from Four Normal and One ALS Subject
Berlin BCI Workshop 2009, 1, pages: 1, July 2009 (poster)
ei
Shelton, JA., Blaschko, MB., Lampert, CH., Bartels, A.
Semi-supervised Analysis of Human fMRI Data
Berlin Brain Computer Interface Workshop on Advances in Neurotechnology, 2009, pages: 1, July 2009 (poster)
ei
Kober, J., Peters, J., Oztop, E.
Learning Motor Primitives for Robotics
Advanced Telecommunications Research Center ATR, June 2009 (talk)
ei
Lampert, C.
Learning To Detect Unseen Object Classes by Between-Class Attribute Transfer
IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), June 2009 (talk)
ei
Seeger, M., Nickisch, H., Pohmann, R., Schölkopf, B.
Optimization of k-Space Trajectories by Bayesian Experimental Design
17(2627), 17th Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM), April 2009 (poster)
ei
Hofmann, M., Steinke, F., Bezrukov, I., Kolb, A., Aschoff, P., Lichy, M., Erb, M., Nägele, T., Brady, M., Schölkopf, B., Pichler, B.
MR-Based Attenuation Correction for PET/MR
17(260), 17th Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM), April 2009 (poster)
ei
Chapelle, O.
Some thoughts about Gaussian Processes
NIPS Workshop on Open Problems in Gaussian Processes for Machine Learning, December 2005 (talk)
ei
Chapelle, O.
A taxonomy of semi-supervised learning algorithms
Yahoo!, December 2005 (talk)
ei
Gretton, A., Belitski, A., Murayama, Y., Schölkopf, B., Logothetis, N.
Kernel methods for dependence testing in LFP-MUA
35(689.17), 35th Annual Meeting of the Society for Neuroscience (Neuroscience), November 2005 (poster)
ei
Wichmann, F., Rosas, P., Gegenfurtner, K.
Rapid animal detection in natural scenes: Critical features are local
Journal of Vision, 5(8):376, Fifth Annual Meeting of the Vision Sciences Society (VSS), September 2005 (poster)
ei
Kienzle, W., Franz, M., Wichmann, F., Schölkopf, B.
Learning an Interest Operator from Eye Movements
International Workshop on Bioinspired Information Processing (BIP 2005), 2005, pages: 1, September 2005 (poster)
ei
Drewes, J., Wichmann, F., Gegenfurtner, K.
Classification of natural scenes using global image statistics
Journal of Vision, 5(8):602, Fifth Annual Meeting of the Vision Sciences Society (VSS), September 2005 (poster)
ei
Wu, M., Schölkopf, B., BakIr, G.
Building Sparse Large Margin Classifiers
The 22nd International Conference on Machine Learning (ICML), August 2005 (talk)
ei
Zhou, D.
Learning from Labeled and Unlabeled Data on a Directed Graph
The 22nd International Conference on Machine Learning, August 2005 (talk)
ei
Hill, N., Schröder, M., Lal, T., Schölkopf, B.
Comparative evaluation of Independent Components Analysis algorithms for isolating target-relevant information in brain-signal classification
Brain-Computer Interface Technology, 3, pages: 95, June 2005 (poster)
ei
Bensch, M., Bogdan, M., Hill, N., Lal, T., Rosenstiel, W., Schölkopf, B., Schröder, M.
Machine-Learning Approaches to BCI in Tübingen
Brain-Computer Interface Technology, June 2005, Talk given by NJH. (talk)
ei
Drewes, J., Wichmann, F., Gegenfurtner, K.
Classification of natural scenes using global image statistics
47, pages: 88, 47. Tagung Experimentell Arbeitender Psychologen, April 2005 (poster)
ei
Drewes, J., Wichmann, F., Gegenfurtner, K.
Classification of Natural Scenes using Global Image Statistics
8, pages: 88, 8th T{\"u}bingen Perception Conference (TWK), February 2005 (poster)
ei
Tanner, T., Hill, N., Rasmussen, C., Wichmann, F.
Efficient Adaptive Sampling of the Psychometric Function by Maximizing Information Gain
8, pages: 109, (Editors: Bülthoff, H. H., H. A. Mallot, R. Ulrich and F. A. Wichmann), 8th T{\"u}bingen Perception Conference (TWK), February 2005 (poster)
ei
Kuss, M., Jäkel, F., Wichmann, F.
Bayesian Inference for Psychometric Functions
8, pages: 106, (Editors: Bülthoff, H. H., H. A. Mallot, R. Ulrich and F. A. Wichmann), 8th T{\"u}bingen Perception Conference (TWK), February 2005 (poster)
ei
Gretton, A., Smola, A., Bousquet, O., Herbrich, R., Belitski, A., Augath, M., Murayama, Y., Schölkopf, B., Logothetis, N.
Kernel Constrained Covariance for Dependence Measurement
AISTATS, January 2005 (talk)
ei
Drewes, J., Wichmann, F., Gegenfurtner, K.
Global image statistics of natural scenes
Bioinspired Information Processing, 08, pages: 1, 2005 (poster)
ei
Jäkel, F., Wichmann, F.
Kernel-Methods, Similarity, and Exemplar Theories of Categorization
ASIC, 4, 2005 (poster)
ei
Wichmann, F., Rosas, P., Gegenfurtner, K.
Rapid animal detection in natural scenes: critical features are local
Experimentelle Psychologie. Beitr{\"a}ge zur 47. Tagung experimentell arbeitender Psychologen, 47, pages: 225, 2005 (poster)
ei
Graf, A., Wichmann, F., Bülthoff, H., Schölkopf, B.
The human brain as large margin classifier
Proceedings of the Computational & Systems Neuroscience Meeting (COSYNE), 2, pages: 1, 2005 (poster)
ei
Rosas, P., Wichmann, F., Ernst, M., Wagemans, J.
Texture and haptic cues in slant discrimination: Measuring the effect of texture type on cue combination
Journal of Vision, 3(12):26, 2003 Fall Vision Meeting of the Optical Society of America, December 2003 (poster)
ei
Csato, L.
Sparse Gaussian Process Tooblox - Demonstration
16, December 2003 (poster)