Bottou, L., Schölkopf, B. Borges und die Künstliche Intelligenz 2023, published in Frankfurter Allgemeine Zeitung, 18 December 2023, Nr. 294 (misc)

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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)

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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)

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Wang, H., Jin, Z., Cao, J., Fung, G. P. C., Wong, K. Inconsistent Few-Shot Relation Classification via Cross-Attentional Prototype Networks with Contrastive Learning 2022 (misc)

arXiv [BibTex]

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)

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Prabhoo, S., Bauer, S., Schwab, P. NCoRE: Neural Counterfactual Representation Learning for Combinations of Treatments 2021 (misc)

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Abdulsamad, H., Dorau, T., Belousov, B., Zhu, J., Peters, J. Distributionally Robust Trajectory Optimization Under Uncertain Dynamics via Relative-Entropy Trust Regions 2021 (misc)

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Arvanitidis, G., González Duque, M., Pouplin, A., Kalatzis, D., Hauberg, S. Pulling back information geometry 2021 (misc)

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Wüthrich*, M., Widmaier*, F., Bauer*, S., Funk, N., Urain, J., Peters, J., Watson, J., Chen, C., Srinivasan, K., Zhang, J., Zhang, J., Walter, M. R., Madan, R., Schaff, C., Maeda, T., Yoneda, T., Yarats, D., Allshire, A., Gordon, E. K., Bhattacharjee, T., Srinivasa, S. S., Garg, A., Buchholz, A., Stark, S., Steinbrenner, T., Akpo, J., Joshi, S., Agrawal, V., Schölkopf, B. A Robot Cluster for Reproducible Research in Dexterous Manipulation 2021, *equal contribution (misc)

arXiv [BibTex]

Shao, K., Villegas, J. F. R., Logothetis, N. K., Besserve, M. A model of Ponto-Geniculo-Occipital waves supports bidirectional control of cortical plasticity across sleep-stages 2021 (misc) In preparation

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Georgiev, B., Franken, L., Mukherjee, M., Arvanitidis, G. On the Impact of Stable Ranks in Deep Nets 2021 (misc)

arXiv [BibTex]

Allshire, A., Mittal, M., Lodaya, V., Makoviychuk, V., Makoviichuk, D., Widmaier, F., Wüthrich, M., Bauer, S., Handa, A., Garg, A. Transferring Dexterous Manipulation from GPU Simulation to a Remote Real-World TriFinger 2021 (misc)

arXiv [BibTex]

Chicharro, D., Besserve, M., Panzeri, S. Causal learning with sufficient statistics: an information bottleneck approach 2020 (misc) Submitted

arXiv [BibTex]

Träuble, F., Creager, E., Kilbertus, N., Goyal, A., Locatello, F., Schölkopf, B., Bauer, S. Is Independence all you need? On the Generalization of Representations Learned from Correlated Data 2020 (misc)

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Tosatto, S., Stadtmueller, J., Peters, J. Dimensionality Reduction of Movement Primitives in Parameter Space 2020 (misc)

arXiv [BibTex]

Besserve, M., Buchholz, S., Schölkopf, B. Assaying Large-scale Testing Models to Interpret Covid-19 Case Numbers. A Cross-country Study 2020 (misc) Submitted

arXiv [BibTex]

Ke, R., Bilaniuk, O., Goyal, A., Bauer, S., Larochelle, H., Schölkopf, B., Mozer, M. C., Pal, C., Bengio, Y. Learning Neural Causal Models from Unknown Interventions 2020 (misc)

arXiv Project Page [BibTex]

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)

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Park, M., Jitkrittum, W. ABCDP: Approximate Bayesian Computation Meets Differential Privacy 2019 (misc) Submitted

arXiv [BibTex]

Pfister, N., Bauer, S., Peters, J. Identifying Causal Structure in Large-Scale Kinetic Systems 2019 (misc)

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Tanneberg, D., Rueckert, E., Peters, J. Learning Algorithmic Solutions to Symbolic Planning Tasks with a Neural Computer Architecture 2019 (misc)

arXiv [BibTex]

Schölkopf, B. Die kybernetische Revolution S{\"u}ddeutsche Zeitung, 2018, (15-Mar-2018) (misc)

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Veiga, F. F., Edin, B. B., Peters, J. In-Hand Object Stabilization by Independent Finger Control 2018 (misc)

arXiv [BibTex]

Garreau, D., Jitkrittum, W., Kanagawa, M. Large sample analysis of the median heuristic 2018 (misc) In preparation

arXiv [BibTex]

Weichwald, S., Grosse-Wentrup, M. The right tool for the right question — beyond the encoding versus decoding dichotomy 2017 (misc)

ArXiv PDF [BibTex]

Rubenstein, P. K., Tolstikhin, I., Hennig, P., Schölkopf, B. Probabilistic Active Learning of Functions in Structural Causal Models 2017 (misc)

Arxiv [BibTex]

Bousquet, O., Gelly, S., Tolstikhin, I., Simon-Gabriel, C. J., Schölkopf, B. From Optimal Transport to Generative Modeling: the VEGAN cookbook 2017 (misc)

arXiv follow-up paper [BibTex]

Belousov, B., Peters, J. f-Divergence constrained policy improvement 2017 (misc)

arXiv [BibTex]

Ihler, A. T., Janzing, D. Proceedings of the 32nd Conference on Uncertainty in Artificial Intelligence (UAI) pages: 869 pages, AUAI Press, June 2016 (proceedings)

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Empirical Inference (2010-2015) Scientific Advisory Board Report, 2016 (misc)

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Weichwald, S., Fomina, T., Schölkopf, B., Grosse-Wentrup, M. A note on the expected minimum error probability in equientropic channels 2016 (misc)

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Mittal, A., Raj, A., Namboodiri, V. P., Tuytelaars, T. Unsupervised Domain Adaptation in the Wild : Dealing with Asymmetric Label Set 2016 (misc)

Arxiv [BibTex]

Veiga, F., Peters, J. Can Modular Finger Control for In-Hand Object Stabilization be accomplished by Independent Tactile Feedback Control Laws? 2016 (misc)

arXiv [BibTex]

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)

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

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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)

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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)

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Lopez-Paz, D. The Randomized Dependence Coefficient (UC Berkeley, MSKCC, MIT, Harvard, 2013) 2014 (talk)

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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)

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Besserve, M. Quantifying statistical dependency Research Network on Learning Systems Summer School, 2014 (talk)

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Janzing, D. Causal Inference from Passive Observations 24th Summer School University of Jyväskylā, Finland, August, 2014 (talk)

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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)

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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)

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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)

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

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Lopez-Paz, D., Duvenaud, D. Random Projections (Computational and Biological Learning Lab, University of Cambridge, 2013) 2013 (talk)

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Muandet, K. Support Vector Machines, Support Measure Machines, and Quasar Target Selection Center for Cosmology and Particle Physics (CCPP), New York University, December 2012 (talk)

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Muandet, K. Hilbert Space Embedding for Dirichlet Process Mixtures NIPS Workshop on Confluence between Kernel Methods and Graphical Models, December 2012 (talk)

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Wehrl, H., Lankes, K., Hossain, M., Bezrukov, I., Liu, C., Martirosian, P., Schick, F., Pichler, B. Simultaneous small animal PET/MR in activated and resting state reveals multiple brain networks 20th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM), May 2012 (talk)

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Wehrl, H., Lankes, K., Hossain, M., Bezrukov, I., Liu, C., Martirosian, P., Reischl, G., Schick, F., Pichler, B. A new PET insert for simultaneous PET/MR small animal imaging 20th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM), May 2012 (talk)

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