34 results
(View BibTeX file of all listed publications)

**A special issue on hydrogen-based Energy storage**
*{International Journal of Hydrogen Energy}*, 44, pages: 7737, Elsevier, Amsterdam, 2019 (misc)

**ABCDP: Approximate Bayesian Computation Meets Differential Privacy **
2019 (misc) Submitted

**Nanoscale X-ray imaging of spin dynamics in Yttrium iron garnet**
2019 (misc)

**Reconfigurable nanoscale spin wave majority gate with frequency-division multiplexing**
2019 (misc)

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

**Hydrogen Energy**
*{ChemPhysChem}*, 20, pages: 1153-1411, Wiley-VCH, Weinheim, Germany, 2019 (misc)

**Real-space imaging of confined magnetic skyrmion tubes**
2019 (misc)

**Elements of Causal Inference - Foundations and Learning Algorithms**
Adaptive Computation and Machine Learning Series, The MIT Press, Cambridge, MA, USA, 2017 (book)

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

**X-ray microscopy of spin wave focusing using a Fresnel zone plate**
2017 (misc)

**Causal Inference for Empirical Time Series Based on the Postulate of Independence of Cause and Mechanism**
*53rd Annual Allerton Conference on Communication, Control, and Computing*, September 2015 (talk)

**Independence of cause and mechanism in brain networks**
*DALI workshop on Networks: Processes and Causality*, April 2015 (talk)

**Information-Theoretic Implications of Classical and Quantum Causal Structures **
18th Conference on Quantum Information Processing (QIP), 2015 (talk)

**The search for single exoplanet transits in the Kepler light curves**
*IAU General Assembly*, 22, pages: 2258352, 2015 (talk)

**Derivation of phenomenological expressions for transition matrix elements for electron-phonon scattering**
2015 (misc)

**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)

**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)

**Domain Generalization via Invariant Feature Representation**
30th International Conference on Machine Learning (ICML2013), 2013 (talk)

**Empirical Inference - Festschrift in Honor of Vladimir N. Vapnik**
Springer, 2013 (book)

ei
Zhou, D.
**Discrete vs. Continuous: Two Sides of Machine Learning**
October 2004 (talk)

ei
Zhou, D.
**Discrete vs. Continuous: Two Sides of Machine Learning**
October 2004 (talk)

**Grundlagen von Support Vector Maschinen und Anwendungen in der Bildverarbeitung**
September 2004 (talk)

**Kernel Methods in Computational Biology**
pages: 410, Computational Molecular Biology, MIT Press, Cambridge, MA, USA, August 2004 (book)

**Learning from Labeled and Unlabeled Data: Semi-supervised Learning and Ranking**
January 2004 (talk)

ei
Bousquet, O.
**Introduction to Category Theory**
Internal Seminar, January 2004 (talk)

**Statistische Lerntheorie und Empirische Inferenz**
*Jahrbuch der Max-Planck-Gesellschaft*, 2004, pages: 377-382, 2004 (misc)

ei
Bousquet, O.
**Advanced Statistical Learning Theory**
Machine Learning Summer School, 2004 (talk)

**Nanoscale Materials for Energy Storage**
*{Materials Science \& Engineering B}*, 108, pages: 292, Elsevier, 2004 (misc)