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Number of items at this level (without sub-levels): 118.

A

Alt, Bastian ; Schultheis, Matthias ; Koeppl, Heinz (2023)
POMDPs in Continuous Time and Discrete Spaces.
34th Conference on Neural Information Processing Systems. virtual Conference (06.-12.12.2020)
doi: 10.26083/tuprints-00023309
Conference or Workshop Item, Secondary publication, Publisher's Version

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

Araslanov, N. ; Roth, S. (2020)
Single-stage semantic segmentation from image labels.
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition. virtual Conference (13.-19.06.2020)
doi: 10.1109/CVPR42600.2020.00431
Conference or Workshop Item, Bibliographie

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, Bibliographie

Araslanov, Nikita ; Rothkopf, Constantin A. ; Roth, Stefan (2019)
Actor-Critic Instance Segmentation.
IEEE Conference on Computer Vision and Pattern Recognition.
Conference or Workshop Item, Bibliographie

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

Ahmad Sharbafi, Maziar ; Shin, Hirofumi ; Zhao, Guoping ; Hosoda, Koh ; Seyfarth, Andre (2017)
Electric-Pneumatic Actuator: A New Muscle for Locomotion.
In: Actuators, 2017, 6 (4)
doi: 10.3390/act6040030
Article, Secondary publication

B

Brugger, Anna ; Behmann, Jan ; Paulus, Stefan ; Luigs, Hans-Georg ; Kuska, Matheus Thomas ; Schramowski, Patrick ; Kersting, Kristian ; Steiner, Ulrike ; Mahlein, Anne-Katrin (2024)
Extending Hyperspectral Imaging for Plant Phenotyping to the UV-Range.
In: Remote Sensing, 2019, 11 (12)
doi: 10.26083/tuprints-00016743
Article, Secondary publication, Publisher's Version

Blüml, Jannis ; Czech, Johannes ; Kersting, Kristian (2023)
AlphaZe∗∗: AlphaZero-like baselines for imperfect information games are surprisingly strong.
In: Frontiers in Artificial Intelligence, 2023, 6
doi: 10.26083/tuprints-00024064
Article, Secondary publication, Publisher's Version

Behrens, Thea ; Räuker, Max ; Kalbfleisch, Michelle ; Jäkel, Frank (2022)
Flexible use of tactics in Sudoku.
In: Thinking & Reasoning, (Early Access)
doi: 10.1080/13546783.2022.2091040
Article, Bibliographie

Brugger, Anna ; Schramowski, Patrick ; Paulus, Stefan ; Steiner, Ulrike ; Kersting, Kristian ; Mahlein, Anne‐Katrin (2021)
Spectral signatures in the UV range can be combined with secondary plant metabolites by deep learning to characterize barley–powdery mildew interaction.
In: Plant Pathology, 70 (7)
doi: 10.1111/ppa.13411
Article, Bibliographie

Barazesh, Hamid ; Ahmad Sharbafi, Maziar (2020)
A biarticular passive exosuit to support balance control can reduce metabolic cost of walking.
In: Bioinspiration & Biomimetics, 15 (3)
doi: 10.1088/1748-3190/ab70ed
Article, Bibliographie

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, Bibliographie

D

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

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

De Raedt, Luc ; Kersting, Kristian ; Natarajan, Sriraam ; Poole, David (2016)
Statistical Relational Artificial Intelligence: Logic, Probability and Computation.
Book, Bibliographie

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.
In: International Journal of Environmental Research and Public Health, 2022, 19 (17)
doi: 10.26083/tuprints-00022328
Article, Secondary publication, Publisher's Version

F

Frankenstein, Julia ; Kessler, Fabian ; Rothkopf, Constantin A. (2020)
Applying Psychophysics to Applied Spatial Cognition Research.
12th International Conference Spatial Cognition.. Riga, Latvia (26-28 August 2020)
doi: 10.1007/978-3-030-57983-8_16
Conference or Workshop Item, Bibliographie

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, 2
doi: 10.3389/fdata.2019.00052
Article, Bibliographie

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, Bibliographie

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)
doi: 10.1109/LRA.2020.2966390
Article, Bibliographie

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)
doi: 10.1073/pnas.1901277116
Article, Bibliographie

Geyer, H. ; Seyfarth, A. (2019)
Neuromuscular Control Models of Human Locomotion.
In: Humanoid Robotics: A Reference.
doi: 10.1007/978-94-007-6046-2_45
Book Section, Bibliographie

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, Bibliographie

Gast, J. ; Roth, S. (2018)
Lightweight probabilistic deep networks.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
Conference or Workshop Item, Bibliographie

Gurevych, Iryna ; Meyer, Christian M. ; Binnig, Carsten ; Fürnkranz, Johannes ; Kersting, Kristian ; Roth, Stefan ; Simpson, Edwin
ed.: Gelbukh, Alexander (2017)
Interactive Data Analytics for the Humanities.
International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2017. Budapest, Hungary (17-23 April, 2017)
Conference or Workshop Item, Bibliographie

Gershman, S. J. ; Tenenbaum, J. ; Jäkel, F. (2016)
Discovering hierarchical motion structure.
In: Vision Research, 126
doi: 10.1016/j.visres.2015.03.004
Article, Bibliographie

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)
Article, Bibliographie

H

He, Zoe W. ; Yu, Angela J. (2021)
Gender differences in face-based trait perception and social decision making.
43rd Annual Meeting of the Cognitive Science Society (CogSci 2021). Vienna, Austria (26.-29.07.2021)
Conference or Workshop Item, Bibliographie

Hur, J. ; Roth, S. (2020)
Optical flow estimation in the deep learning age.
In: Modelling Human Motion
doi: 10.1007/978-3-030-46732-6_7
Book Section, Bibliographie

Hoppe, David ; Rothkopf, Constantin A. (2019)
Multi-step planning of eye movements in visual search.
In: Scientific reports, 9 (1)
Article, Bibliographie

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)
Article, Bibliographie

Hoppe, David ; Rothkopf, Constantin A. (2016)
Learning rational temporal eye movement strategies.
In: Proceedings of the National Academy of Sciences, 113 (29)
Article, Bibliographie

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
Book Section, Bibliographie

J

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

K

Kadner, Florian ; Keller, Yannik ; Rothkopf, Constantin A. (2021)
AdaptiFont:Increasing Individuals’ Reading Speed with a Generative Font Model and Bayesian Optimization.
2021 CHI Conference on Human Factors in Computing Systems. Yokohama Japan (May 8 - 13, 2021)
doi: 10.1145/3411764.3445140
Conference or Workshop Item, Bibliographie

Kossen, Jannik ; Stelzner, Karl ; Hussing, Marcel ; Voelcker, Claas ; Kersting, Kristian (2020)
Structured Object-Aware Physics Prediction for Video Modeling and Planning.
Conference or Workshop Item, Bibliographie

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)
doi: 10.1109/lra.2019.2928760
Article, Bibliographie

Kersting, Kristian ; Lampert, Christoph H. ; Rothkopf, Constantin A. (2019)
Wie Maschinen lernen : Künstliche Intelligenz verständlich erklärt.
doi: 10.1007/978-3-658-26763-6
Book, Bibliographie

Kersting, Kristian (2018)
Machine Learning and Artificial Intelligence: Two Fellow Travelers on the Quest for Intelligent Behavior in Machines.
In: Frontiers in Big Data, 1
doi: 10.3389/fdata.2018.00006
Article, Bibliographie

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)",
Book Section, Bibliographie

Kersting, Kristian ; Mladenov, M. ; Tokmakov, P. (2017)
Relational Linear Programming.
In: Artificial Intelligence Journal (AIJ), 244
Article, Bibliographie

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, Bibliographie

Lioutikov, Rudolf ; Maeda, Guilherme ; Veiga, Filipe ; Kersting, Kristian ; Peters, Jan (2020)
Learning attribute grammars for movement primitive sequencing.
In: The International Journal of Robotics Research, 39 (1)
doi: 10.1177/0278364919868279
Article, Bibliographie

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)
doi: 10.1109/LRA.2020.2970620
Article, Bibliographie

Lutter, M. ; Ritter, C. ; Peters, J. (2019)
Deep Lagrangian Networks: Using physics as model prior for Deep Learning.
7th International Conference on Learning Representations (ICLR'19). New Orleans, United States (06.-09.05.2019)
Conference or Workshop Item, Bibliographie

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, Bibliographie

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

M

Moreno, Plinio ; Bernardino, Alexandre ; Santos-Victor, José ; Ventura, Rodrigo ; Kersting, Kristian (2024)
Editorial: Robots that Learn and Reason: Towards Learning Logic Rules from Noisy Data.
In: Frontiers in Robotics and AI, 2021, 8
doi: 10.26083/tuprints-00019983
Article, Secondary publication, Publisher's Version

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
Article, Bibliographie

Molina, A. ; Vergari, A. ; Di Mauro, Nicola ; Esposito, F. ; Natarajan, S. ; Kersting, K. (2018)
Mixed Sum-Product Networks: A Deep Architecture for Hybrid Domains.
The Thirty-Second AAAI Conference on Artificial Intelligence. New Orleans, Louisiana, USA (February 2-7, 2018)
Conference or Workshop Item, Bibliographie

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)
doi: 10.1080/02643294.2021.2008890
Article, Bibliographie

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)
doi: 10.1371/journal.pcbi.1007730
Article, Bibliographie

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)
Article, Bibliographie

P

Patanè, Luca ; Zhao, Guoping (2023)
Editorial: Focus on methods: neural algorithms for bio-inspired robotics.
In: Frontiers in Neurorobotics, 2023, 17
doi: 10.26083/tuprints-00024404
Article, Secondary publication, Publisher's Version

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.
Proceedings of the Conference on Uncertainty in AI (UAI). (July 22-25, 2019)
Conference or Workshop Item, Bibliographie

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, Bibliographie

Plötz, T. ; Wannenwetsch, A. S. ; Roth, S. (2018)
Stochastic variational inference with gradient linearization.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
Conference or Workshop Item, Bibliographie

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

R

Rueckert, Elmar ; Kappel, David ; Tanneberg, Daniel ; Pecevski, Dejan ; Peters, Jan (2016)
Recurrent Spiking Networks Solve Planning Tasks.
In: Scientific Reports, 6 (21142)
Article, Bibliographie

Rothkopf, Constantin A. (2016)
Minimal Sequential Gaze Models for Inferring Walkers’ Tasks.
doi: 10.1145/2957265.2965015
Conference or Workshop Item, Bibliographie

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
Book Section, Bibliographie

S

Stüttgen, Maik C. ; Dietl, Andrea ; Stoilova Eckert, Vanya V. ; de la Cuesta-Ferrer, Luis ; Blanke, Jan-Hendrik ; Koß, Christina ; Jäkel, Frank (2024)
Influence of reinforcement and its omission on trial-by-trial changes of response bias in perceptual decision making.
In: Journal of the Experimental Analysis of Behavior
doi: 10.1002/jeab.908
Article, Bibliographie

Scherf, Lisa ; Schmidt, Aljoscha ; Pal, Suman ; Koert, Dorothea (2023)
Interactively learning behavior trees from imperfect human demonstrations.
In: Frontiers in Robotics and AI, 2023, 10
doi: 10.26083/tuprints-00024370
Article, Secondary publication, Publisher's Version

Straub, Dominik ; Rothkopf, Constantin A. (2022)
Putting perception into action with inverse optimal control for continuous psychophysics.
In: eLife, 11
doi: 10.7554/eLife.76635
Article, Bibliographie

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)
doi: 10.1038/s42256-022-00458-8
Article, Bibliographie

Straub, Dominik ; Rothkopf, Constantin A. (2021)
Looking for Image Statistics: Active Vision With Avatars in a Naturalistic Virtual Environment.
In: Frontiers in Psychology, 12
doi: 10.3389/fpsyg.2021.641471
Article, Bibliographie

Schultheis, Matthias ; Straub, Dominik ; Rothkopf, Constantin A. (2021)
Inverse optimal control adapted to the noise characteristics of the human sensorimotor system.
Conference on Neural Information Processing Systems. Schloss Dagstuhl, Saarland, Germany, virtuell (December 6-14, 2021)
Conference or Workshop Item, Bibliographie

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
doi: 10.1152/jn.00736.2019
Article, Bibliographie

Stelzer, K. ; Peharz, R. ; Kersting, K. (2020)
Faster Attend-Infer-Repeat with Tractable Probabilistic Models.
36th International Conference on Machine Learning (ICML). (June 10th to June 15th, 2019)
Conference or Workshop Item, Bibliographie

Schramowski, Patrick ; TURAN, Cigdem ; Jentzsch, Sophie ; Rothkopf, Constantin ; Kersting, Kristian (2020)
The Moral Choice Machine.
In: Frontiers in Artificial Intelligence, 3
doi: 10.3389/frai.2020.00036
Article, Bibliographie

Stock-Homburg, Ruth ; Peters, J. ; Schneider, K. ; Prasad, V. ; Nukovic, L. (2020)
Evaluation of the Handshake Turing Test for anthropomorphic Robots.
Conference or Workshop Item, Bibliographie

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.
Report, Bibliographie

Saeedan, Faraz ; Weber, Nicolas ; Goesele, Michael ; Roth, Stefan (2018)
Detail-preserving pooling in deep networks.
Conference or Workshop Item, Bibliographie

Sergieh, Hatem Mousselly ; Botschen, Teresa ; Gurevych, Iryna ; Roth, Stefan (2018)
A Multimodal Translation-Based Approach for Knowledge Graph Representation Learning.
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, Bibliographie

Seyfarth, André ; Sharbafi, M. A. ; Zhao, G. ; Schumacher, C. (2018)
Modular composition of human gaits through locomotor subfunctions and sensor-motor-maps.
International Symposium on Wearable Robotics. Pisa, Italy (16-20. October 2018)
Conference or Workshop Item, Bibliographie

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

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.
(26-29 Aug. 2018)
doi: 10.1109/BIOROB.2018.8487900
Conference or Workshop Item, Bibliographie

Sharbafi, Maziar A. ; Seyfarth, Andre ; Zhao, Guoping (2017)
Locomotor Sub-functions for Control of Assistive Wearable Robots.
In: Frontiers in Neurorobotics, 2017, 11
doi: 10.3389/fnbot.2017.00044
Article, Secondary publication

Schumacher, Christian ; Seyfarth, André (2017)
Sensor-Motor Maps for Describing Linear Reflex Composition in Hopping.
In: Frontiers in Computational Neuroscience, 2017, 11
doi: 10.3389/fncom.2017.00108
Article, Secondary publication

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.
Thirty-First AAAI Conference on Artificial Intelligence.
Conference or Workshop Item, Bibliographie

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

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
Article, Bibliographie

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)
Article, Bibliographie

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
doi: 10.1002/9781119113713.ch7
Book Section, Bibliographie

T

Trick, Susanne ; Rothkopf, Constantin A. ; Jäkel, Frank (2023)
A Normative Model for Bayesian Combination of Subjective Probability Estimates.
In: Judgment and Decision Making, 2023 (18)
doi: 10.1017/jdm.2023.39
Article, Bibliographie

Trick, Susanne ; Rothkopf, Constantin A. (2022)
Bayesian Classifier Fusion with an Explicit Model of Correlation.
The 25th International Conference on Artificial Intelligence. Valencia, Spain (Mar 30, 2022 - Apr 1, 2022)
Conference or Workshop Item, Bibliographie

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)
doi: 10.1109/LRA.2022.3182100
Article, Bibliographie

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

Tanneberg, Daniel ; Peters, Jan ; Rueckert, Elmar (2019)
Intrinsic Motivation and Mental Replay enable Efficient Online Adaptation in Stochastic Recurrent Networks.
In: Neural Networks, 109
doi: 10.1016/j.neunet.2018.10.005
Article, Bibliographie

Teso, S. ; Kersting, K. (2019)
Explanatory interactive machine learning.
2nd AAAI/ACM Conference on AI, Ethics, and Society. (January 27-28, 2019)
doi: 10.1145/3306618.3314293
Conference or Workshop Item, Bibliographie

Trick, Susanne ; Koert, Dorothea ; Peters, Jan ; Rothkopf, Constantin A. (2019)
Multimodal Uncertainty Reduction for Intention Recognition in Human-Robot Interaction.
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Macau, China (03.-08.11.2019)
doi: 10.1109/iros40897.2019.8968171
Conference or Workshop Item, Bibliographie

Thaler, Anne ; Piryankova, Ivelina ; Stefanucci, Jeanine K. ; Pujades, Sergi ; Rosa, Stephan de la ; Streuber, Stephan ; Romero, Javier ; Black, Michael J. ; Mohler, Betty J. (2018)
Visual Perception and Evaluation of Photo-Realistic Self-Avatars From 3D Body Scans in Males and Females.
In: Frontiers in ICT, 5
doi: 10.3389/fict.2018.00018
Article, Bibliographie

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, Bibliographie

V

Van Nimmen, Katrien ; Zhao, Guoping ; Seyfarth, André ; Van den Broeck, Peter (2024)
A Robust Methodology for the Reconstruction of the Vertical Pedestrian-Induced Load from the Registered Body Motion.
In: Vibration, 2018, 1 (2)
doi: 10.26083/tuprints-00016559
Article, Secondary publication, Publisher's Version

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)
doi: 10.1109/TPAMI.2018.2879335
Article, Bibliographie

Vergari, A. ; Molina, A. ; Peharz, R. ; Ghahramani, Z. ; Kersting, K. ; Vlalera, I. (2019)
Automatic Bayesian Density Analysis.
Conference or Workshop Item, Bibliographie

Veeravasarapu, V. S. R. ; Rothkopf, Constantin ; Visvanathan, Ramesh (2017)
Model-driven simulations for computer vision.
2017 IEEE Winter Conference on Applications of Computer Vision (WACV).
Conference or Workshop Item, Bibliographie

Veeravasarapu, V. S. R. ; Rothkopf, Constantin ; Visvanathan, Ramesh (2017)
Adversarially tuned scene generation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.
Conference or Workshop Item, Bibliographie

W

Wroblewski, Adrian ; Hollandt, Maike ; Yang, Yunbo ; Ridderbusch, Isabelle C. ; Pietzner, Anne ; Szeska, Christoph ; Lotze, Martin ; Wittchen, Hans-Ulrich ; Heinig, Ingmar ; Pittig, Andre ; Arolt, Volker ; Koelkebeck, Katja ; Rothkopf, Constantin A. ; Adolph, Dirk ; Markgraf, Jürgen ; Lueken, Ulrike ; Pauli, Paul ; Herrmann, Martin J. ; Winkler, Markus H. ; Ströhle, Andreas ; Dannlowski, Udo ; Kircher, Tilo ; Hamm, Alfons O. ; Straube, Benjamin ; Richter, Jan (2022)
Sometimes I feel the fear of uncertainty: How intolerance of uncertainty and trait anxiety impact fear acquisition, extinction and the return of fear.
In: International Journal of Psychophysiology, 181
doi: 10.1016/j.ijpsycho.2022.09.001
Article, Bibliographie

Wichmann, F. A. ; Jäkel, F. (2018)
Methods in Psychophysics.
In: Stevens' Handbook of Experimental Psychology and Cognitive Neuroscience / ed. by J.T. Wixted ; E.J. Wagenmakers
Book Section, Bibliographie

Wang, Z. ; Boularias, A. ; Muelling, K. ; Schoelkopf, B. ; Peters, J. (2017)
Anticipatory Action Selection for Human-Robot Table Tennis.
In: Artificial Intelligence, 247
Article, Bibliographie

Wang, Quan ; Rothkopf, Constantin A ; Triesch, Jochen (2017)
A model of human motor sequence learning explains facilitation and interference effects based on spike-timing dependent plasticity.
In: PLoS computational biology, 13 (8)
Article, Bibliographie

Y

Yang, S. ; Koeppl, H. (2018)
Collapsed Variational Inference for Nonparametric Bayesian Group Factor Analysis.
IEEE International Conference on Data Mining (ICDM'18). Singapore (17.-20. November 2018)
doi: 10.1109/ICDM.2018.00084
Conference or Workshop Item, Bibliographie

Yang, S. ; Koeppl, H. (2018)
Dependent Relational Gamma Process Models for Longitudinal Networks.
Thirty-fifth International Conference on Machine Learning. Stockholm, Denmark (July 10-15, 2018)
Conference or Workshop Item, Bibliographie

Yang, S. ; Koeppl, H. (2018)
A Poisson Gamma Probabilistic Model for Latent Node-group Memberships in Dynamic Networks.
AAAI 2018, Association for the Advancement of Artificial Intelligence. New Orleans (2018)
Conference or Workshop Item, Bibliographie

Z

Zhao, Guoping ; Mohseni, Omid ; Murcia, Marc ; Seyfarth, André ; Sharbafi, Maziar A. (2022)
Exploring the effects of serial and parallel elasticity on a hopping robot.
In: Frontiers in Neurorobotics, 2022, 16
doi: 10.26083/tuprints-00022335
Article, Secondary publication, Publisher's Version

Zhao, Huaiyong ; Straub, Dominik ; Rothkopf, Constantin A. (2021)
How do people steer a car to intercept a moving target: Interceptions in different environments point to one strategy.
In: Quarterly Journal of Experimental Psychology, 74 (10)
doi: 10.1177/17470218211007480
Article, Bibliographie

Zhao, Huaiyong ; Straub, Dominik ; Rothkopf, Constantin A. (2020)
The visual control of interceptive steering: How do people steer a car to intercept a moving target?
In: Journal of Vision, 2019, 19 (14)
doi: 10.25534/tuprints-00013333
Article, Secondary publication

Zhao, Huaiyong ; Straub, Dominik ; Rothkopf, Constantin A. (2019)
The visual control of interceptive steering: How do people steer a car to intercept a moving target?
In: Journal of Vision, 19 (14)
doi: 10.1167/19.14.11
Article, Bibliographie

Zhang, Ruohan ; Zhang, Shun ; Tong, Matthew H. ; Cui, Yuchen ; Rothkopf, Constantin A. ; Ballard, Dana H. ; Hayhoe, Mary M. (2018)
Modeling sensory-motor decisions in natural behavior.
In: PLoS computational biology, 14 (10)
Article, Bibliographie

Zhang, Ruohan ; Zhang, Shun ; Tong, Matthew H. ; Cui, Yuchen ; Rothkopf, Constantin A. ; Ballard, Dana H. ; Hayhoe, Mary M. (2018)
Modeling sensory-motor decisions in natural behavior.
In: PLOS Computational Biology, 14 (10)
doi: 10.1371/journal.pcbi.1006518
Article, Bibliographie

Zednik, C. ; Jäkel, F. (2016)
Bayesian reverse-engineering considered as a research strategy for cognitive science.
In: Synthese
doi: 10.1007/s11229-016-1180-3
Article, Bibliographie

Š

Šošić, A. ; Zoubir, A. M. ; Koeppl, H. (2018)
A Bayesian Approach to Policy Recognition and State Representation Learning.
In: IEEE Transactions on Pattern Analysis and Machine Intelligence, 40 (6)
doi: 10.1109/TPAMI.2017.2711024
Article, Bibliographie

Šošić, A. ; Zoubir, A. M. ; Koeppl, H. (2018)
Reinforcement Learning in a Continuum of Agents.
In: Swarm Intelligence, 12 (1)
doi: 10.1007/s11721-017-0142-9
Article, Bibliographie

Šošić, A. ; Zoubir, A. M. ; Koeppl, H. (2018)
Inverse Reinforcement Learning via Nonparametric Subgoal Modeling.
Conference or Workshop Item, Bibliographie

Šošić, A. ; Rueckert, E. ; Peters, J. ; Zoubir, A. M. ; Koeppl, H. (2018)
Inverse Reinforcement Learning via Nonparametric Spatio-Temporal Subgoal Modeling.
In: Journal of Machine Learning Research, 19 (69)
Article, Bibliographie

Šošić, A. ; Zoubir, A. M. ; Koeppl, H. (2016)
Policy Recognition via Expectation Maximization.
IEEE International Conference on Acoustics, Speech and Signal Processing.
doi: 10.1109/ICASSP.2016.7472589
Conference or Workshop Item, Bibliographie

This list was generated on Thu Apr 18 01:01:09 2024 CEST.