Logothetis, N., Eschenko, O., Murayama, Y., Augath, M., Steudel, T., Evrard, H., Besserve, M., Oeltermann, A.
Studying large-scale brain networks: electrical stimulation and neural-event-triggered fMRI
Twenty-Second Annual Computational Neuroscience Meeting (CNS*2013), July 2013, journal = {BMC Neuroscience},
year = {2013},
month = {7},
volume = {14},
number = {Supplement 1},
pages = {A1}, (talk)
Safavi, S., Panagiotaropoulos, T., Kapoor, V., Logothetis, N., Besserve, M.
Coupling between spiking activity and beta band spatio-temporal patterns in the macaque PFC
43rd Annual Meeting of the Society for Neuroscience (Neuroscience), 2013 (poster)
Lopez-Paz, D., Hernandez-Lobato, J., Ghahramani, Z.
Gaussian Process Vine Copulas for Multivariate Dependence
International Conference on Machine Learning (ICML), 2013 (poster)
Muandet, K., Balduzzi, D., Schölkopf, B.
Domain Generalization via Invariant Feature Representation
30th International Conference on Machine Learning (ICML2013), 2013 (poster)
Safavi, S., Panagiotaropoulos, T., Kapoor, V., Logothetis, N., Besserve, M.
Analyzing locking of spikes to spatio-temporal patterns in the macaque prefrontal cortex
Bernstein Conference, 2013 (poster)
Muandet, K., Schölkopf, B.
One-class Support Measure Machines for Group Anomaly Detection
29th Conference on Uncertainty in Artificial Intelligence (UAI), 2013 (poster)
Lopez-Paz, D., Hennig, P., Schölkopf, B.
The Randomized Dependence Coefficient
Neural Information Processing Systems (NIPS), 2013 (poster)
Ramirez-Villegas, J., Logothetis, N., Besserve, M.
Characterization of different types of sharp-wave ripple signatures in the CA1 of the macaque hippocampus
4th German Neurophysiology PhD Meeting Networks, 2013 (poster)
Mantlik, F., Bezrukov, I., Hofmann, M., Schölkopf, B., Pichler, B.
MR-Based Attenuation Correction for Combined Brain PET/MR: Robustness of Atlas- and Pattern Recognition Method to Atlas Registration Failures
IEEE Nuclear Science Symposium and Medical Imaging Conference (IEEE MIC), 2013 (talk)
Muandet, K.
Domain Generalization via Invariant Feature Representation
30th International Conference on Machine Learning (ICML2013), 2013 (talk)
Schölkopf, B., Luo, Z., Vovk, V.
Empirical Inference - Festschrift in Honor of Vladimir N. Vapnik
Springer, 2013 (book)
Henning, B., Wichmann, F.
Some observations on the pedestal effect or dipper function
Journal of Vision, 6(13):50, 2006 Fall Vision Meeting of the Optical Society of America, December 2006 (poster)
Gretton, A., Borgwardt, K., Rasch, M., Schölkopf, B., Smola, A.
A Kernel Method for the Two-Sample-Problem
20th Annual Conference on Neural Information Processing Systems (NIPS), December 2006 (talk)
Schweikert, G., Zeller, G., Zien, A., Ong, C., de Bona, F., Sonnenburg, S., Phillips, P., Rätsch, G.
Ab-initio gene finding using machine learning
NIPS Workshop on New Problems and Methods in Computational Biology, December 2006 (talk)
Peters, J.
Reinforcement Learning by Reward-Weighted Regression
NIPS Workshop: Towards a New Reinforcement Learning? , December 2006 (talk)
Saigo, H., Kadowaki, T., Kudo, T., Tsuda, K.
Graph boosting for molecular QSAR analysis
NIPS Workshop on New Problems and Methods in Computational Biology, December 2006 (talk)
Sun, X., Janzing, D., Schölkopf, B.
Inferring Causal Directions by Evaluating the Complexity of Conditional Distributions
NIPS Workshop on Causality and Feature Selection, December 2006 (talk)
Farquhar, J., Hill, J., Schölkopf, B.
Learning Optimal EEG Features Across Time, Frequency and Space
NIPS Workshop on Current Trends in Brain-Computer Interfacing, December 2006 (talk)
Zien, A.
Semi-Supervised Learning
Advanced Methods in Sequence Analysis Lectures, November 2006 (talk)
Farquhar, J., Hill, N., Schölkopf, B.
Optimizing Spatial Filters for BCI: Margin- and Evidence-Maximization Approaches
Challenging Brain-Computer Interfaces: MAIA Workshop 2006, pages: 1, November 2006 (poster)
Hofmann, M., Steinke, F., Judenhofer, M., Claussen, C., Schölkopf, B., Pichler, B.
A Machine Learning Approach for Determining the PET Attenuation Map from Magnetic Resonance Images
IEEE Medical Imaging Conference, November 2006 (talk)
Zien, A.
Semi-Supervised Support Vector Machines and Application to Spam Filtering
ECML Discovery Challenge Workshop, September 2006 (talk)
Kienzle, W., Wichmann, F., Schölkopf, B., Franz, M.
Learning Eye Movements
Sensory Coding And The Natural Environment, 2006, pages: 1, September 2006 (poster)
Chapelle, O., Schölkopf, B., Zien, A.
Semi-Supervised Learning
pages: 508, Adaptive computation and machine learning, MIT Press, Cambridge, MA, USA, September 2006 (book)
Habeck, M.
Inferential Structure Determination: Probabilistic determination and validation of NMR structures
Gordon Research Conference on Computational Aspects of Biomolecular
NMR, September 2006 (talk)
Schweikert, G., Zeller, G., Clark, R., Ossowski, S., Warthmann, N., Shinn, P., Frazer, K., Ecker, J., Huson, D., Weigel, D., Schölkopf, B., Rätsch, G.
Machine Learning Algorithms for Polymorphism Detection
2nd ISCB Student Council Symposium, August 2006 (talk)
Habeck, M.
Inferential structure determination: Overview and new developments
Sixth CCPN Annual Conference: Efficient and Rapid Structure Determination by NMR, July 2006 (talk)
Drewes, J., Wichmann, F., Gegenfurtner, K.
Classification of natural scenes: Critical features revisited
Journal of Vision, 6(6):561, 6th Annual Meeting of the Vision Sciences Society (VSS), June 2006 (poster)
Rasmussen, C., Görür, D.
MCMC inference in (Conditionally) Conjugate Dirichlet Process Gaussian Mixture Models
ICML Workshop on Learning with Nonparametric Bayesian Methods, June 2006 (talk)
Görür, D., Rasmussen, C.
Sampling for non-conjugate infinite latent feature models
(Editors: Bernardo, J. M.), 8th Valencia International Meeting on Bayesian Statistics (ISBA), June 2006 (talk)
Wichmann, F., Henning, B.
The pedestal effect is caused by off-frequency looking, not nonlinear transduction or contrast gain-control
Journal of Vision, 6(6):194, 6th Annual Meeting of the Vision Sciences Society (VSS), June 2006 (poster)
Clark, R., Ossowski, S., Schweikert, G., Rätsch, G., Shinn, P., Zeller, G., Warthmann, N., Fu, G., Hinds, D., Chen, H., Frazer, K., Huson, D., Schölkopf, B., Nordborg, M., Ecker, J., Weigel, D.
An Inventory of Sequence Polymorphisms For Arabidopsis
17th International Conference on Arabidopsis Research, April 2006 (talk)
Shin, H.
Machine Learning and Applications in Biology
6th Course in Bioinformatics for Molecular Biologist, March 2006 (talk)
Wichmann, F., Henning, G.
The Pedestal Effect is Caused by Off-Frequency Looking, not Nonlinear Transduction or Contrast Gain-Control
9, pages: 174, 9th T{\"u}bingen Perception Conference (TWK), March 2006 (poster)
Langovoy, M.
Efficient tests for the deconvolution hypothesis
Workshop on Statistical Inverse Problems, March 2006 (poster)
Drewes, J., Wichmann, F., Gegenfurtner, K.
Classification of Natural Scenes: Critical Features Revisited
9, pages: 92, 9th T{\"u}bingen Perception Conference (TWK), March 2006 (poster)
Bethge, M.
Factorial Coding of Natural Images: How Effective are Linear Models in Removing Higher-Order Dependencies?
9, pages: 90, 9th T{\"u}bingen Perception Conference (TWK), March 2006 (poster)
Pfingsten, T., Kuss, M., Rasmussen, C.
Nonstationary Gaussian Process Regression using a Latent Extension of the Input Space
pages: 3, January 2006 (poster)
Rasmussen, CE., Williams, CKI.
Gaussian Processes for Machine Learning
pages: 248, Adaptive Computation and Machine Learning, MIT Press, Cambridge, MA, USA, January 2006 (book)
Drewes, J., Wichmann, F., Gegenfurtner, K.
Classification of natural scenes: critical features revisited
Experimentelle Psychologie: Beitr{\"a}ge zur 48. Tagung experimentell arbeitender Psychologen, 48, pages: 251, 2006 (poster)
Rosas, P., Wagemans, J., Ernst, M., Wichmann, F.
Texture and haptic cues in slant discrimination: combination is sensitive to reliability but not statistically optimal
Beitr{\"a}ge zur 48. Tagung experimentell arbeitender Psychologen (TeaP 2006), 48, pages: 80, 2006 (poster)
Jäkel, F., Wichmann, F.
Ähnlichkeitsmasse in Modellen zur Kategorienbildung
Experimentelle Psychologie: Beitr{\"a}ge zur 48. Tagung experimentell arbeitender Psychologen, 48, pages: 223, 2006 (poster)
Wichmann, F., Henning, B.
The pedestal effect is caused by off-frequency looking, not nonlinear transduction or contrast gain-control
Experimentelle Psychologie: Beitr{\"a}ge zur 48. Tagung experimentell arbeitender Psychologen, 48, pages: 205, 2006 (poster)
Peters, J., Vijayakumar, S., Schaal, S.
Natural Actor-Critic
NIPS Workshop " Planning for the Real World: The promises and challenges of dealing with uncertainty", December 2003 (poster)
Peters, J., Schaal, S.
Learning Control and Planning from the View of Control Theory and Imitation
NIPS Workshop "Planning for the Real World: The promises and challenges of dealing with uncertainty", December 2003 (talk)
Schaal, S., Peters, J.
Recurrent neural networks from learning attractor dynamics
NIPS Workshop on RNNaissance: Recurrent Neural Networks, December 2003 (talk)
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)
Csato, L.
Sparse Gaussian Process Tooblox - Demonstration
16, December 2003 (poster)
Bousquet, O.
Statistical Learning Theory
Machine Learning Summer School, August 2003 (talk)