27 results
(View BibTeX file of all listed publications)

**Actively Learning Gaussian Process Dynamics**
2019 (techreport) Submitted

**Prototyping Micro- and Nano-Optics with Focused Ion Beam Lithography**
SL48, pages: 46, SPIE.Spotlight, SPIE Press, Bellingham, WA, 2019 (book)

**Event-triggered Learning for Linear Quadratic Control**
2019 (techreport)

**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)

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

**From Optimal Transport to Generative Modeling: the VEGAN cookbook**
2017 (techreport)

**Design of a visualization scheme for functional connectivity data of Human Brain**
Hochschule Osnabrück - University of Applied Sciences, 2017 (thesis)

**Advanced Structured Prediction**
*Advanced Structured Prediction*, pages: 432, Neural Information Processing Series, MIT Press, November 2014 (book)

**Model transport: towards scalable transfer learning on manifolds - supplemental material**
(9), April 2014 (techreport)

**Learning Motor Skills: From Algorithms to Robot Experiments**
97, pages: 191, Springer Tracts in Advanced Robotics, Springer, 2014 (book)

**Computationally efficient algorithms for statistical image processing: Implementation in R**
(2010-053), EURANDOM, Technische Universiteit Eindhoven, December 2010 (techreport)

**Fast Convergent Algorithms for Expectation Propagation Approximate Bayesian Inference**
Max Planck Institute for Biological Cybernetics, December 2010 (techreport)

**A PAC-Bayesian Analysis of Graph Clustering and Pairwise Clustering**
Max Planck Institute for Biological Cybernetics, Tübingen, Germany, September 2010 (techreport)

**Sparse nonnegative matrix approximation: new formulations and algorithms**
(193), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, September 2010 (techreport)

**Robust nonparametric detection of objects in noisy images**
(2010-049), EURANDOM, Technische Universiteit Eindhoven, September 2010 (techreport)

**Large Scale Variational Inference and Experimental Design for Sparse Generalized Linear Models**
Max Planck Institute for Biological Cybernetics, August 2010 (techreport)

**Cooperative Cuts for Image Segmentation**
(UWEETR-1020-0003), University of Washington, Washington DC, USA, August 2010 (techreport)

**Fast algorithms for total-variationbased optimization**
(194), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, August 2010 (techreport)

**Gaussian Mixture Modeling with Gaussian Process Latent Variable Models**
Max Planck Institute for Biological Cybernetics, June 2010 (techreport)

**Generalized Proximity and Projection with Norms and Mixed-norms**
(192), Max Planck Institute for Biological Cybernetics, Tübingen, Germany, May 2010 (techreport)

**Cooperative Cuts: Graph Cuts with Submodular Edge Weights**
(189), Max Planck Institute for Biological Cybernetics, Tuebingen, Germany, March 2010 (techreport)

**From Motor Learning to Interaction Learning in Robots**
pages: 538, Studies in Computational Intelligence ; 264, (Editors: O Sigaud, J Peters), Springer, Berlin, Germany, January 2010 (book)

**Information-theoretic inference of common ancestors**
*Computing Research Repository (CoRR)*, abs/1010.5720, pages: 18, 2010 (techreport)

mms
Hirscher, M.
**Handbook of Hydrogen Storage**
pages: 353 p., Wiley-VCH, Weinheim, 2010 (book)

**Inference Principles and Model Selection**
(01301), Dagstuhl Seminar, 2001 (techreport)

**Advances in Large Margin Classifiers**
pages: 422, Neural Information Processing, MIT Press, Cambridge, MA, USA, October 2000 (book)