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Number of items at this level (without sub-levels): 102.

A

Alt, B. ; Schultheis, M. ; Koeppl, H. (2020):
POMDPs in Continuous Time and Discrete Spaces.
In: Advances in Neural Information Processing Systems 33 (NeurIPS 2020),
34th Conference on Neural Information Processing Systems, virtual Conference, 06.-12.12.2020, [Conference or Workshop Item]

Araslanov, N. ; Roth, S. (2020):
Single-stage semantic segmentation from image labels.
In: Proceedings : 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition CVPR 2020, pp. 4252-4261,
IEEE, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, virtual Conference, 13.-19.06.2020, ISBN 978-1-7281-7168-5,
DOI: 10.1109/CVPR42600.2020.00431,
[Conference or Workshop Item]

Alt, B. ; Šošić, A. ; Koeppl, H. (2019):
Correlation Priors for Reinforcement Learning.
33rd Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Kanada, 09.12.-13.12.2019, [Conference or Workshop Item]

Araslanov, Nikita ; Rothkopf, Constantin A. ; Roth, Stefan (2019):
Actor-Critic Instance Segmentation.
In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 8237-8246,
Long Beach, California, United States, IEEE Conference on Computer Vision and Pattern Recognition, [Conference or Workshop Item]

Alt, Bastian ; Messer, Michael ; Roeper, Jochen ; Schneider, Gaby ; Koeppl, Heinz (2018):
Non-Parametric Bayesian Inference for Change Point Detection in Neural Spike Trains.
IEEE, 2018 IEEE Statistical Signal Processing Workshop (SSP 2018), Freiburg im Breisgau, Germany, 10.-13.06., ISBN 978-1-5386-1571-3,
DOI: 10.1109/SSP.2018.8450787,
[Conference or Workshop Item]

Ahmad Sharbafi, Maziar ; Shin, Hirofumi ; Zhao, Guoping ; Hosoda, Koh ; Seyfarth, Andre (2017):
Electric-Pneumatic Actuator: A New Muscle for Locomotion.
In: Actuators, 6 (4), MDPI, ISSN 2076-0825,
DOI: 10.3390/act6040030,
[Article]

B

Belousov, Boris ; Neumann, Gerhard ; Rothkopf, Constantin A. ; Peters, Jan R. (2016):
Catching heuristics are optimal control policies.
30th Conference on Neural Information Processing Systems, Barcelona, Spain, 05.-10.12.2016, [Conference or Workshop Item]

D

Depeweg, S. ; Rothkopf, C. A. ; Jäkel, F. (2018):
Solving Bongard Problems with a visual language and pragmatic reasoning.
In: arXiv, [Report]

Daniel, C. ; Neumann, G. ; Kroemer, O. ; Peters, J. (2016):
Hierarchical Relative Entropy Policy Search.
In: Journal of Machine Learning Research, 17 (93), pp. 1-50. [Article]

De Raedt, Luc ; Kersting, Kristian ; Natarajan, Sriraam ; Poole, David (2016):
Statistical Relational Artificial Intelligence: Logic, Probability and Computation.
In: Synthesis Lectures on Artificial Intelligence and Machine Learning, San Rafael, California, USA, Morgan and Claypoo Publishers, ISBN 9781627058414,
[Book]

E

Ebrahimian, Serajeddin ; Nahvi, Ali ; Tashakori, Masoumeh ; Salmanzadeh, Hamed ; Mohseni, Omid ; Leppänen, Timo (2022):
Multi-Level Classification of Driver Drowsiness by Simultaneous Analysis of ECG and Respiration Signals Using Deep Neural Networks. (Publisher's Version)
In: International Journal of Environmental Research and Public Health, 19 (17), MDPI, e-ISSN 1660-4601,
DOI: 10.26083/tuprints-00022328,
[Article]

F

Frankenstein, Julia ; Kessler, Fabian ; Rothkopf, Constantin A. (2020):
Applying Psychophysics to Applied Spatial Cognition Research.
In: Lecture Notes in Computer Science book series (LNAI, 12162, In: Spatial Cognition XII : 12th International Conference, Spatial Cognition 2020, Riga, Latvia, August 26–28, 2020, Proceedings, pp. 196-216,
Riga, Latvia, Springer International Publishing, 12th International Conference Spatial Cognition., Riga, Latvia, 26-28 August 2020, ISBN 978-3-030-57982-1,
DOI: 10.1007/978-3-030-57983-8_16,
[Conference or Workshop Item]

G

Galassi, Andrea ; Kersting, Kristian ; Lippi, Marco ; Shao, Xiaoting ; Torroni, Paolo (2020):
Neural-Symbolic Argumentation Mining : An Argument in Favor of Deep Learning and Reasoning.
In: Frontiers in Big Data, 52 (2), DOI: 10.3389/fdata.2019.00052,
[Article]

Gomez-Gonzalez, S. ; Prokudin, S. ; Schölkopf, B. ; Peters, J. (2020):
Real Time Trajectory Prediction Using Deep Conditional Generative Models.
In: IEEE Robotics and Automation Letters (RA-L), 5 (2), pp. 970-976. DOI: 10.1109/LRA.2020.2966390,
[Article]

Galuske, Ralf A. W. ; Munk, Matthias H. J. ; Singer, Wolf (2019):
Relation between gamma oscillations and neuronal plasticity in the visual cortex.
In: Proceedings of the National Academy of Sciences of the United States of America, 116 (46), pp. 23317-23325. ISSN 1091-6490,
DOI: 10.1073/pnas.1901277116,
[Article]

Geyer, H. ; Seyfarth, A. (2019):
Neuromuscular Control Models of Human Locomotion.
In: Humanoid Robotics: A Reference., pp. 979-1007, Springer, ISBN 978-94-007-6045-5,
DOI: 10.1007/978-94-007-6046-2_45,
[Book Section]

Grimmer, M. ; Riener, R. ; Walsh, C. J. ; Seyfarth, A. (2019):
Mobility related physical and functional losses due to aging and disease - a motivation for lower limb exoskeletons.
In: Journal of neuroengineering and rehabilitation, 16 (2), [Article]

Gast, J. ; Roth, S. (2018):
Lightweight probabilistic deep networks.
In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR),
Salt Lake City, Utah, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), [Conference or Workshop Item]

Gurevych, Iryna ; Meyer, Christian M. ; Binnig, Carsten ; Fürnkranz, Johannes ; Kersting, Kristian ; Roth, Stefan ; Simpson, Edwin
Gelbukh, Alexander (ed.) (2017):
Interactive Data Analytics for the Humanities.
In: Computational Linguistics and Intelligent Text Processing, pp. 527-549,
Budapest, Hungary, Springer International Publishing, International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2017, Budapest, Hungary, 17-23 April, 2017, ISBN 978-3-319-77113-7,
[Conference or Workshop Item]

Gershman, S. J. ; Tenenbaum, J. ; Jäkel, F. (2016):
Discovering hierarchical motion structure.
In: Vision Research, 126, pp. 232-241. DOI: 10.1016/j.visres.2015.03.004,
[Article]

Grimmer, Martin ; Holgate, Matthew ; Holgate, Robert ; Boehler, Alexaander ; Ward, Jeffrey ; Hollander, Kevin ; Sugar, Thomas ; Seyfarth, André (2016):
A powered prosthetic ankle joint for walking and running.
In: BioMedical Engineering OnLine, 15 (3), p. 141. [Article]

H

Hur, J. ; Roth, S. (2020):
Optical flow estimation in the deep learning age.
In: Modelling Human Motion, pp. 119-140, Cham, Springer, ISBN 978-3-030-46731-9,
DOI: 10.1007/978-3-030-46732-6_7,
[Book Section]

Hoppe, David ; Rothkopf, Constantin A. (2019):
Multi-step planning of eye movements in visual search.
In: Scientific reports, 9 (1), pp. 1-12. Nature Publishing Group, [Article]

Hoppe, David ; Helfmann, Stefan ; Rothkopf, Constantin A. (2018):
Humans quickly learn to blink strategically in response to environmental task demands.
In: Proceedings of the National Academy of Sciences, 115 (9), pp. 2246-2251. National Academy of the Sciences, [Article]

Hoppe, David ; Rothkopf, Constantin A. (2016):
Learning rational temporal eye movement strategies.
In: Proceedings of the National Academy of Sciences, 113 (29), pp. 8332-8337. National Acad. Sciences, [Article]

Hur, J. ; Roth, S. (2016):
Joint optical flow and temporally consistent semantic segmentation.
In: Computer Vision – ECCV 2016 Workshops Amsterdam, The Netherlands, October 8-10 and 15-16, 2016, Proceedings, Part I, Springer International Publishing, ISBN 978-3-319-46603-3,
[Book Section]

J

Jentzsch, Sophie ; Schramowski, Patrick ; Rothkopf, Constantin ; Kersting, Kristian (2019):
Semantics Derived Automatically from Language Corpora Contain Human-like Moral Choices.
Honolulu, HI, USA, [Conference or Workshop Item]

K

Kadner, Florian ; Keller, Yannik ; Rothkopf, Constantin A. (2021):
AdaptiFont:Increasing Individuals’ Reading Speed with a Generative Font Model and Bayesian Optimization.
In: CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, pp. 1-11,
Yokohama Japan, Association for Computing MachineryNew YorkNYUnited States, 2021 CHI Conference on Human Factors in Computing Systems, Yokohama Japan, May 8 - 13, 2021, ISBN 9781450380966,
DOI: 10.1145/3411764.3445140,
[Conference or Workshop Item]

Kossen, Jannik ; Stelzner, Karl ; Hussing, Marcel ; Voelcker, Claas ; Kersting, Kristian (2020):
Structured Object-Aware Physics Prediction for Video Modeling and Planning.
In: Proceedings of the International Conference on Learning Reresentations (ICLR),
., [Conference or Workshop Item]

Koert, Dorothea ; Pajarinen, Joni ; Schotschneider, Albert ; Trick, Susanne ; Rothkopf, Constantin A. ; Peters, Jan (2019):
Learning Intention Aware Online Adaptation of Movement Primitives.
In: IEEE Robotics and Automation Letters, 4 (4), pp. 3719-3726. IEEE, ISSN 2377-3766, e-ISSN 2377-3774,
DOI: 10.1109/lra.2019.2928760,
[Article]

Kersting, Kristian ; Lampert, Christoph H. ; Rothkopf, Constantin A. (2019):
Wie Maschinen lernen : Künstliche Intelligenz verständlich erklärt.
Wiesbaden, Springer Fachmedien, ISBN 978-3-658-26762-9 ; 978-3-658-26763-6,
DOI: 10.1007/978-3-658-26763-6,
[Book]

Kollegger, G. ; Ewerton, M. ; Wiemeyer, J. ; Peters, J. (2017):
BIMROB — Bidirectional Interaction Between Human and Robot for the Learning of Movements.
In: Proceedings of the International Symposium on Experimental Robotics (ISER)",, pp. 151-163, springer international publishing, [Book Section]

Kersting, Kristian ; Mladenov, M. ; Tokmakov, P. (2017):
Relational Linear Programming.
In: Artificial Intelligence Journal (AIJ), 244, pp. 188-216. [Article]

L

Linzner, D. ; Heinz, K. (2020):
A Variational Perturbative Approach to Planning in Graph-based Markov Decision Processes.
AAAI-20 - Thirty-Fourth AAAI Conference on Artificial Intelligence, New York, USA, February 7-12, 2020, [Conference or Workshop Item]

Lioutikov, Rudolf ; Maeda, Guilherme ; Veiga, Filipe ; Kersting, Kristian ; Peters, Jan (2020):
Learning Attribute Grammars for Movement Primitive Sequencing.
In: International Journal of Robotics Research (IJRR), 39 (1), DOI: 10.1177/0278364919868279,
[Article]

Loeckel, S. ; Peters, J. ; Vliet, P. van (2020):
A Probabilistic Framework for Imitating Human Race Driver Behavior.
In: IEEE Robotics and Automation Letters (RA-L), 5 (2), pp. 2086-2093. DOI: 10.1109/LRA.2020.2970620,
[Article]

Lutter, M. ; Ritter, C. ; Peters, J. (2019):
Deep Lagrangian Networks: Using physics as model prior for Deep Learning.
New Orleans, 7th International Conference on Learning Representations (ICLR), [Conference or Workshop Item]

Linzner, D. ; Koeppl, H. (2018):
Cluster Variational Approximations for Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data.
32. Conference on Neural Information Processing Systems, Montreal, Canada, December 3-8, 2018, [Conference or Workshop Item]

Lioutikov, R. ; Maeda, G. ; Veiga, F. F. ; Kersting, K. ; Peters, J. (2018):
Inducing Probabilistic Context-Free Grammars for the Sequencing of Robot Movement Primitives.
In: Proceedings of the International Conference on Robotics and Automation (ICRA),
2018 IEEE International Conference on Robotics and Automation (ICRA), Brisbane, QLD, Australia, May 21-26, 2018, [Conference or Workshop Item]

M

Melnik, Andrew ; Schüler, Felix ; Rothkopf, Constantin A. ; König, Peter (2018):
The world as an external memory: the price of saccades in a sensorimotor task.
In: Frontiers in behavioral neuroscience, 12, p. 253. Frontiers, [Article]

Molina, A. ; Vergari, A. ; Di Mauro, Nicola ; Esposito, F. ; Natarajan, S. ; Kersting, K. (2018):
Mixed Sum-Product Networks: A Deep Architecture for Hybrid Domains.
In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI),
Palo Alto, CA, AAAI Press, The Thirty-Second AAAI Conference on Artificial Intelligence, New Orleans, Louisiana, USA, February 2-7, 2018, ISBN 9781577358008,
[Conference or Workshop Item]

N

Neupärtl, Nils ; Tatai, Fabian ; Rothkopf, Constantin A. (2021):
Naturalistic embodied interactions elicit intuitive physical behaviour in accordance with Newtonian physics.
In: Cognitive Neuropsychology, 38 (7-8), pp. 440-454. Routledge, DOI: 10.1080/02643294.2021.2008890,
[Article]

Neupärtl, Nils ; Tatai, Fabian ; Rothkopf, Constantin A. (2020):
Intuitive physical reasoning about objects’ masses transfers to a visuomotor decision task consistent with Newtonian physics.
In: PLOS Computational Biology, 16 (10), pp. e1007730. {Public Library of Science San Francisco, CA USA, ISSN 1553-7358,
DOI: 10.1371/journal.pcbi.1007730,
[Article]

O

Osa, T. ; Pajarinen, J. ; Neumann, G. ; Bagnell, J. A. ; Abbeel, P. ; Peters, J. (2018):
An Algorithmic Perspective on Imitation Learning.
In: Foundations and Trends in Robotics, 7 (1-2), pp. 1-179. ISSN 1935-8253, e-ISSN 1935-8261,
[Article]

P

Peharz, R. ; Vergari, A. ; Stelzner, K. ; Molina, A. ; Shao, X. ; Trapp, M. ; Kersting, K. ; Ghahramani, Z. (2019):
Random Sum-Product Networks: A Simple but Effective Approach to Probabilistic Deep Learning.
Tel Aviv, Israel, Proceedings of the Conference on Uncertainty in AI (UAI), July 22-25, 2019, [Conference or Workshop Item]

Parmas, P. ; Doya, K. ; Rasmussen, C. ; Peters, J. (2018):
PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos.
In: International Conference on Machine Learning, [Article]

Plötz, T. ; Wannenwetsch, A. S. ; Roth, S. (2018):
Stochastic variational inference with gradient linearization.
In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR),
Salt Lake City, Utah, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), [Conference or Workshop Item]

Plötz, T. ; Roth, S. (2018):
Neural nearest neighbors networks.
In: Advances in Neural Information Processing Systems (NeurIPS), 31, [Article]

R

Rueckert, Elmar ; Kappel, David ; Tanneberg, Daniel ; Pecevski, Dejan ; Peters, Jan (2016):
Recurrent Spiking Networks Solve Planning Tasks.
In: Scientific Reports, 6 (21142), Nature Publ. Group, ISSN 2045-2322,
[Article]

Rothkopf, Constantin A. (2016):
Minimal Sequential Gaze Models for Inferring Walkers’ Tasks.
In: Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct. ACM,
o.A., [Conference or Workshop Item]

Richter, S. R. ; Vineet, V. ; Roth, S. ; Koltun, V. (2016):
Playing for Data: Ground Truth from Computer Games.
In: Computer Vision – ECCV 2016 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part II, pp. 102-118, Cham, Springer, ISBN 978-3-319-46474-9,
[Book Section]

S

Straub, Dominik ; Rothkopf, Constantin A. (2022):
Putting perception into action with inverse optimal control for continuous psychophysics.
In: eLife, 11, eLife Sciences Publications, e-ISSN 2050-084X,
DOI: 10.7554/eLife.76635,
[Article]

Schramowski, Patrick ; Turan, Cigdem ; Andersen, Nico ; Rothkopf, Constantin A. (2022):
Large pre-trained language models contain human-like biases of what is right and wrong to do.
In: Nature Machine Intelligence, 4 (3), pp. 258-268. Nature Publishing Group, ISSN 2522-5839,
DOI: 10.1038/s42256-022-00458-8,
[Article]

Straub, Dominik ; Rothkopf, Constantin A. (2021):
Looking for Image Statistics: Active Vision With Avatars in a Naturalistic Virtual Environment.
In: Frontiers in Psychology, 12, Frontiers, ISSN 1664-1078,
DOI: 10.3389/fpsyg.2021.641471,
[Article]

Schultheis, Matthias ; Straub, Dominik ; Rothkopf, Constantin A. (2021):
Inverse optimal control adapted to the noise characteristics of the human sensorimotor system.
In: Advances in Neural Information Processing Systems, 34, pp. 9429-9442, Schloss Dagstuhl, Saarland, Germany, virtual, Conference on Neural Information Processing Systems, Schloss Dagstuhl, Saarland, Germany, virtuell, December 6-14, 2021, ISBN 9781713845393,
[Conference or Workshop Item]

Stoilova, V. V. ; Knauer, B. ; Berg, S. ; Rieber, E. ; Jäkel, F. ; Stüttgen, M. C. (2020):
Auditory cortex reflects goal-directed movement but is not necessary for behavioral adaptation in sound-cued reward tracking.
In: Journal of Neurophysiology, American Physiological Society, ISSN 0022-3077,
DOI: 10.1152/jn.00736.2019,
[Article]

Stelzer, K. ; Peharz, R. ; Kersting, K. (2020):
Faster Attend-Infer-Repeat with Tractable Probabilistic Models.
In: Proceedings of the 36th International Conference on Machine Learning (ICML),
Long Beach, CA, USA, 36th International Conference on Machine Learning (ICML), June 10th to June 15th, 2019, [Conference or Workshop Item]

Schramowski, Patrick ; TURAN, Cigdem ; Jentzsch, Sophie ; Rothkopf, Constantin ; Kersting, Kristian (2020):
The Moral Choice Machine.
In: Frontiers in Artificial Intelligence, 3, Frontiers Media, ISSN 2624-8212,
DOI: 10.3389/frai.2020.00036,
[Article]

Stock-Homburg, Ruth ; Peters, J. ; Schneider, K. ; Prasad, V. ; Nukovic, L. (2020):
Evaluation of the Handshake Turing Test for anthropomorphic Robots.
In: Proceedings of the ACM/IEEE International Conference on Human Robot Interaction (HRI),
., [Conference or Workshop Item]

Shao, X. ; Molina, A. ; Vergari, A. ; Stelzner, K. ; Peharz, R. ; Liebig, T. ; Kersting, K. (2019):
Conditional sum-product networks: Imposing structure on deep probabilistic architectures.
In: Working Notes of the ICML 2019 Workshop on Tractable Probabilistic Models (TPM), [Report]

Saeedan, Faraz ; Weber, Nicolas ; Goesele, Michael ; Roth, Stefan (2018):
Detail-preserving pooling in deep networks.
In: Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR),
Salt Lake City, Utah, [Conference or Workshop Item]

Sergieh, Hatem Mousselly ; Botschen, Teresa ; Gurevych, Iryna ; Roth, Stefan (2018):
A Multimodal Translation-Based Approach for Knowledge Graph Representation Learning.
In: Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics (*SEM), pp. 225-234,
Stroudsburg PA, USA, The Seventh Joint Conference on Lexical and Computational Semantics (*SEM), New Orleans LA, USA, 05.06.2018--06.06.2018, DOI: 10.18653/v1/S18-2027,
[Conference or Workshop Item]

Seyfarth, André ; Sharbafi, M. A. ; Zhao, G. ; Schumacher, C. (2018):
Modular composition of human gaits through locomotor subfunctions and sensor-motor-maps.
In: Wearable Robotics: Challenges and Trends Proceedings of the 4th International Symposium on Wearable Robotics, WeRob2018, October 16-20, 2018, Pisa, Italy, pp. 339-343,
Pisa, Italy, Springer, International Symposium on Wearable Robotics, Pisa, Italy, 16-20. October 2018, ISBN 978-3-030-01887-0,
[Conference or Workshop Item]

Seyfarth, André ; Schumacher, Christian (2018):
Teaching locomotion biomechanics-From concepts to applications.
In: European Journal of Physics, [Article]

Schumacher, C. ; Grimmer, M. ; Scherf, A. ; Zhao, G. ; Beckerle, P. ; Seyfarth, André (2018):
A Movement Manipulator to Introduce Temporary and Local Perturbations in Human Hopping.
In: 7th IEEE International Conference on Biomedical Robotics and Biomechatronics (Biorob),
Enschede, Netherlands, 26-29 Aug. 2018, DOI: 10.1109/BIOROB.2018.8487900,
[Conference or Workshop Item]

Sharbafi, Maziar A. ; Seyfarth, Andre ; Zhao, Guoping (2017):
Locomotor Sub-functions for Control of Assistive Wearable Robots.
In: Frontiers in Neurorobotics, 11, Frontiers, ISSN 1662-5218,
DOI: 10.3389/fnbot.2017.00044,
[Article]

Schumacher, Christian ; Seyfarth, André (2017):
Sensor-Motor Maps for Describing Linear Reflex Composition in Hopping.
In: Frontiers in Computational Neuroscience, 11, ISSN 1662-5188,
DOI: 10.3389/fncom.2017.00108,
[Article]

Schmitt, Felix ; Bieg, Hans-Joachim ; Herman, Michael ; Rothkopf, Constantin A. (2017):
I see what you see: Inferring sensor and policy models of human real-world motor behavior.
San Francisco, California USA, Thirty-First AAAI Conference on Artificial Intelligence, [Conference or Workshop Item]

Sharbafi, M. A. ; Seyfarth, André (2017):
How locomotion sub-functions can control walking at different speeds?
In: Journal of Biomechanics, 53, pp. 163-170. Elsevier, [Article]

Sharbafi, M. A. ; Rashty, A. M. ; Rode, C. ; Seyfarth, André (2017):
Reconstruction of human swing leg motion with passive biarticular muscle models.
In: Human movement science, 52, pp. 96-107. [Article]

Sutter, T. ; Ganguly, A. ; Koeppl, H. (2016):
A variational approach to path estimation and parameter inference of hidden diffusion processes.
In: Journal of Machine Learning Research, 17 (190), pp. 1-37. [Article]

Seyfarth, André ; Geyer, Hartmut ; Lipfert, Susanne ; Rummel, J. ; Blum, Yvonne ; Maus, Moritz ; Maykranz, D. (2016):
Whole‐Body Mechanics : How Leg Compliance Shapes the Way We Move.
In: Understanding Mammalian Locomotion: Concepts and Applications, pp. 173-191, Wiley, ISBN 9780470454640,
DOI: 10.1002/9781119113713.ch7,
[Book Section]

T

Trick, Susanne ; Rothkopf, Constantin A. (2022):
Bayesian Classifier Fusion with an Explicit Model of Correlation.
In: Proceedings of Machine Learning Research, 151, In: Proceedings of The 25th International Conference on Artificial Intelligence and Statistics, pp. 2282-2310,
Valencia, Spain, PMLR, The 25th International Conference on Artificial Intelligence, Valencia, Spain, Mar 30, 2022 - Apr 1, 2022, [Conference or Workshop Item]

Trick, Susanne ; Herbert, Franziska ; Rothkopf, Constantin A. ; Koert, Dorothea (2022):
Interactive Reinforcement Learning With Bayesian Fusion of Multimodal Advice.
In: IEEE Robotics and Automation Letters, 7 (3), pp. 7558-7565. IEEE, ISSN 2377-3766, e-ISSN 2377-3774,
DOI: 10.1109/LRA.2022.3182100,
[Article]

Turan, Cigdem ; Schramowski, Patrick ; Rothkopf, Constantin A. ; Kersting, Kristian (2020):
Alfie: An Interactive Robot with Moral Compass.
In: Proceedings of the 2020 International Conference on Multimodal Interaction, pp. 758-759,
Utrecht, the Netherlands, 22nd ACM International Conference on Multimodal Interaction, Utrecht, the Netherlands, October 25-29, 2020, DOI: 10.1145/3382507.3421163,
[Conference or Workshop Item]

Tanneberg, Daniel ; Peters, Jan ; Rueckert, Elmar (2019):
Intrinsic Motivation and Mental Replay enable Efficient Online Adaptation in Stochastic Recurrent Networks.
In: Neural Networks, 109, pp. 67-80. Elsevier, ISSN 0893-6080,
DOI: 10.1016/j.neunet.2018.10.005,
[Article]

Teso, S. ; Kersting, K. (2019):
Explanatory interactive machine learning.
In: Proceedings of the 2nd AAAI/ACM Conference on AI, Ethics, and Society (AIES),
Honolulu, HI, USA, 2nd AAAI/ACM Conference on AI, Ethics, and Society, January 27-28, 2019, [Conference or Workshop Item]

Trick, Susanne ; Koert, Dorothea ; Peters, Jan ; Rothkopf, Constantin A. (2019):
Multimodal Uncertainty Reduction for Intention Recognition in Human-Robot Interaction.
In: 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 7009-7016,
IEEE, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Macau, China, 03.-08.11.2019, ISBN 978-1-7281-4004-9,
DOI: 10.1109/iros40897.2019.8968171,
[Conference or Workshop Item]

Tangkaratt, V. ; Hoof, H. van ; Parisi, S. ; Neumann, G. ; Peters, J. ; Sugiyama, M. (2017):
Policy Search with High-Dimensional Context Variables.
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), [Conference or Workshop Item]

V

Vinogradska, J. ; Bischoff, B. ; Koller, T. ; Achterhold, J. ; Peters, J. (2020):
Numerical Quadrature for Probabilistic Policy Search.
In: IEEE Transactions on Pattern Analysis and Machine Intelligence, 42 (1), pp. 164-175. IEEE, ISSN 0162-8828,
DOI: 10.1109/TPAMI.2018.2879335,
[Article]

Vergari, A. ; Molina, A. ; Peharz, R. ; Ghahramani, Z. ; Kersting, K. ; Vlalera, I. (2019):
Automatic Bayesian Density Analysis.
In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI),
., [Conference or Workshop Item]

Veeravasarapu, V. S. R. ; Rothkopf, Constantin ; Visvanathan, Ramesh (2017):
Model-driven simulations for computer vision.
pp. 1063-1071, Santa Rosa, California, 2017 IEEE Winter Conference on Applications of Computer Vision (WACV), [Conference or Workshop Item]

Veeravasarapu, V. S. R. ; Rothkopf, Constantin ; Visvanathan, Ramesh (2017):
Adversarially tuned scene generation.
pp. 2587-2595, Honolulu, HI, USA, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, [Conference or Workshop Item]

W

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This list was generated on Sun Nov 27 01:17:04 2022 CET.