2024
ei
Rahaman, N., Weiss, M., Wüthrich, M., Bengio, Y., Li, E., Pal, C., Schölkopf, B.
Language Models Can Reduce Asymmetry in Information Markets
arXiv:2403.14443, March 2024, Published as: Redesigning Information Markets in the Era of Language Models, Conference on Language Modeling (COLM) (techreport)
ev
Achterhold, J., Guttikonda, S., Kreber, J. U., Li, H., Stueckler, J.
Learning a Terrain- and Robot-Aware Dynamics Model for Autonomous Mobile Robot Navigation
CoRR abs/2409.11452, 2024, Preprint submitted to Robotics and Autonomous Systems Journal. https://arxiv.org/abs/2409.11452 (techreport) Submitted
lds
Eberhard, O., Vernade, C., Muehlebach, M.
A Pontryagin Perspective on Reinforcement Learning
Max Planck Institute for Intelligent Systems, 2024 (techreport)
lds
Er, D., Trimpe, S., Muehlebach, M.
Distributed Event-Based Learning via ADMM
Max Planck Institute for Intelligent Systems, 2024 (techreport)
ev
Baumeister, F., Mack, L., Stueckler, J.
Incremental Few-Shot Adaptation for Non-Prehensile Object Manipulation using Parallelizable Physics Simulators
CoRR abs/2409.13228, CoRR, 2024, Submitted to IEEE International Conference on Robotics and Automation (ICRA) 2025 (techreport) Submitted
2023
ei
Berenz, V., Widmaier, F., Guist, S., Schölkopf, B., Büchler, D.
Synchronizing Machine Learning Algorithms, Realtime Robotic Control and Simulated Environment with o80
Robot Software Architectures Workshop (RSA) 2023, ICRA, 2023 (techreport)
2022
ei
Biester, L., Demszky, D., Jin, Z., Sachan, M., Tetreault, J., Wilson, S., Xiao, L., Zhao, J.
Proceedings of the Second Workshop on NLP for Positive Impact (NLP4PI)
Association for Computational Linguistics, December 2022 (proceedings)
ei
Schölkopf, B.
Causality, causal digital twins, and their applications
Machine Learning for Science: Bridging Data-Driven and Mechanistic Modelling (Dagstuhl Seminar 22382), (Editors: Berens, Philipp and Cranmer, Kyle and Lawrence, Neil D. and von Luxburg, Ulrike and Montgomery, Jessica), September 2022 (talk)
dlg
Ruppert, F., Badri-Spröwitz, A.
Learning Plastic Matching of Robot Dynamics in Closed-Loop Central Pattern Generators: Data
Edmond, May 2022 (techreport)
ei
Schölkopf, B., Uhler, C., Zhang, K.
Proceedings of the First Conference on Causal Learning and Reasoning (CLeaR 2022)
177, Proceedings of Machine Learning Research, PMLR, April 2022 (proceedings)
dlg
pi
Badri-Spröwitz, A., Sarvestani, A. A., Sitti, M., Daley, M. A.
Data for BirdBot Achieves Energy-Efficient Gait with Minimal Control Using Avian-Inspired Leg Clutching
Edmond, March 2022 (techreport)
ev
Li, H., Stueckler, J.
Observability Analysis of Visual-Inertial Odometry with Online Calibration of Velocity-Control Based Kinematic Motion Models
abs/2204.06651, CoRR/arxiv, 2022 (techreport)
2021
ev
Strecke, M., Stückler, J.
Physically Plausible Tracking & Reconstruction of Dynamic Objects
KIT Science Week Scientific Conference & DGR-Days 2021, October 2021 (talk)
ei
Field, A., Prabhumoye, S., Sap, M., Jin, Z., Zhao, J., Brockett, C.
Proceedings of the 1st Workshop on NLP for Positive Impact
Association for Computational Linguistics, August 2021 (proceedings)
re
Heindrich, L., Consul, S., Stojcheski, J., Lieder, F.
Improving Human Decision-Making by Discovering Efficient Strategies for Hierarchical Planning
Tübingen, Germany, The first edition of Life Improvement Science Conference, June 2021 (talk) Accepted
re
Lieder, F., Prentice, M., Corwin-Renner, E.
Toward a Science of Effective Well-Doing
May 2021 (techreport)
2020
re
Stojcheski, J., Felso, V., Lieder, F.
Optimal To-Do List Gamification
ArXiv Preprint, 2020 (techreport)
dlg
Heim, S., Badri-Spröwitz, A.
Beyond Basins of Attraction: Quantifying Robustness of Natural Dynamics
May 2020 (talk)
am
ics
Marco, A., Rohr, A. V., Baumann, D., Hernández-Lobato, J. M., Trimpe, S.
Excursion Search for Constrained Bayesian Optimization under a Limited Budget of Failures
2020 (proceedings) In revision
ics
Baumann, D., Solowjow, F., Johansson, K. H., Trimpe, S.
Identifying Causal Structure in Dynamical Systems
2020 (techreport)
2019
ei
Safavi, S., Logothetis, N., Besserve, M.
Multivariate coupling estimation between continuous signals and point processes
Neural Information Processing Systems 2019 - Workshop on Learning with Temporal Point Processes, December 2019 (talk)
2018
dlg
Drama, Ö.
Impact of Trunk Orientation for Dynamic Bipedal Locomotion
Dynamic Walking Conference, May 2018 (talk)
ev
Ma, L., Stueckler, J., Wu, T., Cremers, D.
Detailed Dense Inference with Convolutional Neural Networks via Discrete Wavelet Transform
arxiv, 2018, arXiv:1808.01834 (techreport)
slt
Keriven, N., Garreau, D., Poli, I.
NEWMA: a new method for scalable model-free online change-point detection
2018 (techreport)
2016
ei
Ihler, A. T., Janzing, D.
Proceedings of the 32nd Conference on Uncertainty in Artificial Intelligence (UAI)
pages: 869 pages, AUAI Press, June 2016 (proceedings)
am
ics
Ebner, S., Trimpe, S.
Supplemental material for ’Communication Rate Analysis for Event-based State Estimation’
Max Planck Institute for Intelligent Systems, January 2016 (techreport)
2015
am
ics
Trimpe, S.
Distributed Event-based State Estimation
Max Planck Institute for Intelligent Systems, November 2015 (techreport)
ps
Gall, J., Gehler, P., Leibe, B.
Proceedings of the 37th German Conference on Pattern Recognition
Springer, German Conference on Pattern Recognition, October 2015 (proceedings)
ei
Besserve, M.
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)
ei
Besserve, M.
Independence of cause and mechanism in brain networks
DALI workshop on Networks: Processes and Causality, April 2015 (talk)
ei
Chaves, R., Majenz, C., Luft, L., Maciel, T., Janzing, D., Schölkopf, B., Gross, D.
Information-Theoretic Implications of Classical and Quantum Causal Structures
18th Conference on Quantum Information Processing (QIP), 2015 (talk)
ei
Abbott, T., Abdalla, F. B., Allam, S., Amara, A., Annis, J., Armstrong, R., Bacon, D., Banerji, M., Bauer, A. H., Baxter, E., others,
Cosmology from Cosmic Shear with DES Science Verification Data
arXiv preprint arXiv:1507.05552, 2015 (techreport)
ei
Jarvis, M., Sheldon, E., Zuntz, J., Kacprzak, T., Bridle, S. L., Amara, A., Armstrong, R., Becker, M. R., Bernstein, G. M., Bonnett, C., others,
The DES Science Verification Weak Lensing Shear Catalogs
arXiv preprint arXiv:1507.05603, 2015 (techreport)
ei
Foreman-Mackey, D., Hogg, D. W., Schölkopf, B.
The search for single exoplanet transits in the Kepler light curves
IAU General Assembly, 22, pages: 2258352, 2015 (talk)
2014
ps
Freifeld, O., Hauberg, S., Black, M. J.
Model transport: towards scalable transfer learning on manifolds - supplemental material
(9), April 2014 (techreport)
ei
Besserve, M., Schölkopf, B., Logothetis, N. K.
Unsupervised identification of neural events in local field potentials
44th Annual Meeting of the Society for Neuroscience (Neuroscience), 2014 (talk)
ei
Besserve, M.
Quantifying statistical dependency
Research Network on Learning Systems Summer School, 2014 (talk)
ei
Janzing, D.
Causal Inference from Passive Observations
24th Summer School University of Jyväskylā, Finland, August, 2014 (talk)
2013
ps
Zuffi, S., Black, M. J.
Puppet Flow
(7), Max Planck Institute for Intelligent Systems, October 2013 (techreport)
ei
Logothetis, N., Eschenko, O., Murayama, Y., Augath, M., Steudel, T., Evrard, H., Besserve, M., Oeltermann, A.
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)
am
Sankaran, B., Ghazvininejad, M., He, X., Kale, D., Cohen, L.
Learning and Optimization with Submodular Functions
ArXiv, May 2013 (techreport)
ps
Sun, D., Roth, S., Black, M. J.
A Quantitative Analysis of Current Practices in Optical Flow Estimation and the Principles Behind Them
(CS-10-03), Brown University, Department of Computer Science, January 2013 (techreport)
ei
Mantlik, F., Bezrukov, I., Hofmann, M., Schölkopf, B., Pichler, B.
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)
ei
pn
Hennig, P.
Animating Samples from Gaussian Distributions
(8), Max Planck Institute for Intelligent Systems, Tübingen, Germany, 2013 (techreport)
ei
Deisenroth, M., Szepesvári, C., Peters, J.
Proceedings of the 10th European Workshop on Reinforcement Learning, Volume 24
pages: 173, JMLR, European Workshop On Reinforcement Learning, EWRL, 2013 (proceedings)
ei
Muandet, K.
Domain Generalization via Invariant Feature Representation
30th International Conference on Machine Learning (ICML2013), 2013 (talk)
ei
Hogg, D. W., Angus, R., Barclay, T., Dawson, R., Fergus, R., Foreman-Mackey, D., Harmeling, S., Hirsch, M., Lang, D., Montet, B. T., Schiminovich, D., Schölkopf, B.
Maximizing Kepler science return per telemetered pixel: Detailed models of the focal plane in the two-wheel era
arXiv:1309.0653, 2013 (techreport)
ei
Montet, B. T., Angus, R., Barclay, T., Dawson, R., Fergus, R., Foreman-Mackey, D., Harmeling, S., Hirsch, M., Hogg, D. W., Lang, D., Schiminovich, D., Schölkopf, B.
Maximizing Kepler science return per telemetered pixel: Searching the habitable zones of the brightest stars
arXiv:1309.0654, 2013 (techreport)