ps
Ahmad, A., Price, E., Tallamraju, R., Saini, N., Lawless, G., Ludwig, R., Martinovic, I., Bülthoff, H. H., Black, M. J.
AirCap – Aerial Outdoor Motion Capture
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019), Workshop on Aerial Swarms, November 2019 (misc)
hi
Forte, M. P., Kuchenbecker, K. J.
Interactive Augmented Reality for Robot-Assisted Surgery
Workshop extended abstract presented as a podium presentation at the IROS Workshop on Legacy Disruptors in Applied Telerobotics, Macau, November 2019 (misc) Accepted
ps
Loper, M., Mahmood, N., Black, M.
Method for providing a three dimensional body model
September 2019, U.S.~Patent 10,417,818 (misc)
hi
Serhat, G., Kuchenbecker, K. J.
High-Fidelity Multiphysics Finite Element Modeling of Finger-Surface Interactions with Tactile Feedback
Work-in-progress paper (2 pages) presented at the IEEE World Haptics Conference (WHC), Tokyo, Japan, July 2019 (misc)
hi
Gueorguiev, D., Lambert, J., Thonnard, J., Kuchenbecker, K. J.
Fingertip Friction Enhances Perception of Normal Force Changes
Work-in-progress paper (2 pages) presented at the IEEE World Haptics Conference (WHC), Tokyo, Japan, July 2019 (misc)
hi
Block, A. E., Kuchenbecker, K. J.
Inflatable Haptic Sensor for the Torso of a Hugging Robot
Work-in-progress paper (2 pages) presented at the IEEE World Haptics Conference (WHC), Tokyo, Japan, July 2019 (misc)
hi
Nam, S., Kuchenbecker, K. J.
Understanding the Pull-off Force of the Human Fingerpad
Work-in-progress paper (2 pages) presented at the IEEE World Haptics Conference (WHC), Tokyo, Japan, July 2019 (misc)
hi
Forte, M. P., L’Orsa, R., Mohan, M., Nam, S., Kuchenbecker, K. J.
The Haptician and the Alphamonsters
Student Innovation Challenge on Implementing Haptics in Virtual Reality Environment presented at the IEEE World Haptics Conference, Tokyo, Japan, July 2019, Maria Paola Forte, Rachael L'Orsa, Mayumi Mohan, and Saekwang Nam contributed equally to this publication (misc)
hi
Spiers, A., Kuchenbecker, K. J.
Explorations of Shape-Changing Haptic Interfaces for Blind and Sighted Pedestrian Navigation
pages: 6, Workshop paper (6 pages) presented at the CHI 2019 Workshop on Hacking Blind Navigation, May 2019 (misc) Accepted
hi
Cao, E., Machaca, S., Bernard, T., Wolfinger, B., Patterson, Z., Chi, A., Adrales, G. L., Kuchenbecker, K. J., Brown, J. D.
Bimanual Wrist-Squeezing Haptic Feedback Changes Speed-Force Tradeoff in Robotic Surgery Training
Extended abstract presented as an ePoster at the Annual Meeting of the Society of American Gastrointestinal and Endoscopic Surgeons (SAGES), Baltimore, USA, April 2019 (misc) Accepted
hi
Forte, M. P., Kuchenbecker, K. J.
Interactive Augmented Reality for Robot-Assisted Surgery
Extended abstract presented as an Emerging Technology ePoster at the Annual Meeting of the Society of American Gastrointestinal and Endoscopic Surgeons (SAGES), Baltimore, Maryland, USA, April 2019 (misc) Accepted
hi
Mohan, M., Kuchenbecker, K. J.
A Design Tool for Therapeutic Social-Physical Human-Robot Interactions
Workshop paper (3 pages) presented at the HRI Pioneers Workshop, Daegu, South Korea, March 2019 (misc) Accepted
ps
Perceiving Systems (2016-2018)
Scientific Advisory Board Report, 2019 (misc)
ei
Lim, J. N., Yamada, M., Jitkrittum, W., Terada, Y., Matsui, S., Shimodaira, H.
More Powerful Selective Kernel Tests for Feature Selection
2019 (misc) Submitted
hi
Seifi, H., Ip, J., Agrawal, A., Kuchenbecker, K. J., MacLean, K. E.
Toward Expert-Sourcing of a Haptic Device Repository
Glasgow, UK, 2019 (misc)
mms
Hirscher, M.
A special issue on hydrogen-based Energy storage
{International Journal of Hydrogen Energy}, 44, pages: 7737, Elsevier, Amsterdam, 2019 (misc)
ei
Park, M., Jitkrittum, W.
ABCDP: Approximate Bayesian Computation Meets Differential Privacy
2019 (misc) Submitted
al
Lin, S., Martius, G., Oettel, M.
Analytical classical density functionals from an equation learning network
2019, arXiv preprint \url{https://arxiv.org/abs/1910.12752} (misc)
mms
Förster, J., Wintz, S., Bailey, J., Finizio, S., Josten, E., Meertens, D., Dubs, C., Bozhko, D. A., Stoll, H., Dieterle, G., Traeger, N., Raabe, J., Slavin, A. N., Weigand, M., Gräfe, J., Schütz, G.
Nanoscale X-ray imaging of spin dynamics in Yttrium iron garnet
2019 (misc)
mms
Talmelli, G., Devolder, T., Träger, N., Förster, J., Wintz, S., Weigand, M., Stoll, H., Heyns, M., Schütz, G., Radu, I., Gräfe, J., Ciubotaru, F., Adelmann, C.
Reconfigurable nanoscale spin wave majority gate with frequency-division multiplexing
2019 (misc)
ev
Usenko, V., Demmel, N., Schubert, D., Stückler, J., Cremers, D.
Visual-Inertial Mapping with Non-Linear Factor Recovery
2019, arXiv:1904.06504 (misc)
mms
Hirscher, M., Autrey, T., Orimo, S.
Hydrogen Energy
{ChemPhysChem}, 20, pages: 1153-1411, Wiley-VCH, Weinheim, Germany, 2019 (misc)
ev
Wang, R., Yang, N., Stückler, J., Cremers, D.
DirectShape: Photometric Alignment of Shape Priors for Visual Vehicle Pose and Shape Estimation
2019, arXiv:1904.10097 (misc)
ei
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)
ei
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)
ei
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)
ei
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)
ei
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)
ei
Zien, A.
Semi-Supervised Learning
Advanced Methods in Sequence Analysis Lectures, November 2006 (talk)
ei
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)
ei
Zien, A.
Semi-Supervised Support Vector Machines and Application to Spam Filtering
ECML Discovery Challenge Workshop, September 2006 (talk)
ei
Habeck, M.
Inferential Structure Determination: Probabilistic determination and validation of NMR structures
Gordon Research Conference on Computational Aspects of Biomolecular
NMR, September 2006 (talk)
ei
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)
ei
Habeck, M.
Inferential structure determination: Overview and new developments
Sixth CCPN Annual Conference: Efficient and Rapid Structure Determination by NMR, July 2006 (talk)
ei
Hofmann, M., Schölkopf, B., Steinke, F., Pichler, B.
MR/PET Attenuation Correction
Max-Planck-Gesellschaft, Biologische Kybernetik, July 2006 (patent)
ei
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)
ei
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)
ei
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)