Publications

DEPARTMENTS

Emperical Interference

Haptic Intelligence

Modern Magnetic Systems

Perceiving Systems

Physical Intelligence

Robotic Materials

Social Foundations of Computation

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Autonomous Vision

Autonomous Learning

Bioinspired Autonomous Miniature Robots

Dynamic Locomotion

Embodied Vision

Human Aspects of Machine Learning

Intelligent Control Systems

Learning and Dynamical Systems

Locomotion in Biorobotic and Somatic Systems

Micro, Nano, and Molecular Systems

Movement Generation and Control

Neural Capture and Synthesis

Physics for Inference and Optimization

Organizational Leadership and Diversity

Probabilistic Learning Group

Topics

Robot Learning

Conference Paper

2022

Autonomous Learning

Robotics

Career

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BibTeX

Empirical Inference Article Regularized principal manifolds Smola, A., Mika, S., Schölkopf, B., Williamson, R. Journal of Machine Learning Research, 1:179-209, June 2001 () PDF BibTeX

Empirical Inference Thesis Variationsverfahren zur Untersuchung von Grundzustandseigenschaften des Ein-Band Hubbard-Modells Eichhorn, J. Biologische Kybernetik, Technische Universität Dresden, Dresden/Germany, May 2001 () PostScript BibTeX

Empirical Inference Technical Report Inference Principles and Model Selection Buhmann, J., Schölkopf, B. (01301), Dagstuhl Seminar, 2001 () Web BibTeX

Empirical Inference Article Markovian domain fingerprinting: statistical segmentation of protein sequences Bejerano, G., Seldin, Y., Margalit, H., Tishby, N. Bioinformatics, 17(10):927-934, 2001 () PDF Web BibTeX

Empirical Inference Article The psychometric function: I. Fitting, sampling and goodness-of-fit Wichmann, F., Hill, N. Perception and Psychophysics, 63 (8):1293-1313, 2001 () PDF BibTeX

Empirical Inference Article The psychometric function: II. Bootstrap-based confidence intervals and sampling Wichmann, F., Hill, N. Perception and Psychophysics, 63 (8):1314-1329, 2001 () PDF BibTeX

Empirical Inference Conference Paper Unsupervised Segmentation and Classification of Mixtures of Markovian Sources Seldin, Y., Bejerano, G., Tishby, N. In The 33rd Symposium on the Interface of Computing Science and Statistics (Interface 2001 - Frontiers in Data Mining and Bioinformatics), :1-15, 33rd Symposium on the Interface of Computing Science and Statistics (Interface 2001 - Frontiers in Data Mining and Bioinformatics), 2001 () PDF Web BibTeX

Empirical Inference Conference Paper Unsupervised Sequence Segmentation by a Mixture of Switching Variable Memory Markov Sources Seldin, Y., Bejerano, G., Tishby, N. In In the proceeding of the 18th International Conference on Machine Learning (ICML 2001), :513-520, 18th International Conference on Machine Learning (ICML 2001), 2001 () PDF BibTeX

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