Andrussow, I., Sun, H., Martius, G., Kuchenbecker, K. J. Demonstration: Minsight - A Soft Vision-Based Tactile Sensor for Robotic Fingertips Hands-on demonstration presented at the Conference on Robot Learning (CoRL), Munich, Germany, November 2024 (misc) Accepted

Project Page [BibTex]

Besserve, M., Safavi, S., Schölkopf, B., Logothetis, N. LFP transient events in macaque subcortical areas reveal network coordination across scales and structures: a simultaneous fMRI-electrophysiology study Computational and Systems Neuroscience Meeting (COSYNE), March 2024 (poster)

link (url) [BibTex]

Shao, K., Xu, Y., Logothetis, N., Shen, Z., Besserve, M. Koopman Spectral Analysis Uncovers the Temporal Structure of Spontaneous Neural Events Computational and Systems Neuroscience Meeting (COSYNE), March 2024 (poster)

link (url) [BibTex]

Bonse, M. J., Gebhard, T. D., Dannert, F. A., Absil, O., Cantalloube, F., Christiaens, V., Cugno, G., Garvin, E. O., Hayoz, J., Kasper, M., Matthews, E., Schölkopf, B., Quanz, S. P. Use the 4S (Signal-Safe Speckle Subtraction): Explainable Machine Learning reveals the Giant Exoplanet AF Lep b in High-Contrast Imaging Data from 2011 2024 (misc) Submitted

arXiv [BibTex]

Buchholz, S., Kübler, J. M., Schölkopf, B. Multi-Armed Bandits and Quantum Channel Oracles 2024 (misc)

arXiv [BibTex]

Rajendran, G., Buchholz, S., Aragam, B., Schölkopf, B., Ravikumar, P. Learning Interpretable Concepts: Unifying Causal Representation Learning and Foundation Models 2024 (misc)

arXiv [BibTex]

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

PDF [BibTex]

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)

link (url) DOI [BibTex]

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]

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

arXiv [BibTex]

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

arXiv Project Page [BibTex]

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

arXiv [BibTex]

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]

Belousov, B., H., A., Klink, P., Parisi, S., Peters, J. Reinforcement Learning Algorithms: Analysis and Applications 883, Studies in Computational Intelligence, Springer International Publishing, 2021 (book)

DOI [BibTex]

Panda, S., Shen, C., Perry, R., Zorn, J., Lutz, A., Priebe, C. E., Vogelstein, J. T. Nonpar MANOVA via Independence Testing 2021 (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

bioRxiv DOI [BibTex]

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

arXiv [BibTex]

Scientific Report 2016 - 2021 2021 (mpi_year_book)

Scientific Report 2016 - 2021 [BibTex]

Perry, R., Tomita, T. M., Mehta, R., Arroyo, J., Patsolic, J., Falk, B., Vogelstein, J. T. Manifold forests: closing the gap on neural networks 2021 (misc)

arXiv [BibTex]

Perry, R., Mehta, R., Guo, R., Yezerets, E., Arroyo, J., Powell, M., Helm, H., Shen, C., Vogelstein, J. T. Random Forests for Adaptive Nearest Neighbor Estimation of Information-Theoretic Quantities 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)

link (url) [BibTex]

Jin, D., Jin, Z., Mihalcea, R. Deep Learning for Text Attribute Transfer: A Survey 2020 (misc)

link (url) [BibTex]

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]

Jin, Z., Yang, Y., Qiu, X., Zhang, Z. Relation of the Relations: A New Paradigm of the Relation Extraction Problem 2020 (misc)

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)

Talk video link (url) [BibTex]

Meding, K., Schölkopf, B., Wichmann, F. A. Perception of temporal dependencies in autoregressive motion Perception, 48(2-suppl):141, 42nd European Conference on Visual Perception (ECVP), August 2019 (poster)

link (url) [BibTex]

Bruijns, S. A., Meding, K., Schölkopf, B., Wichmann, F. A. Phenomenal Causality and Sensory Realism Perception, 48(2-suppl):141, 42nd European Conference on Visual Perception (ECVP), August 2019 (poster)

link (url) [BibTex]

Shao, K., Logothetis, N., Besserve, M. Neural mass modeling of the Ponto-Geniculo-Occipital wave and its neuromodulation 28th Annual Computational Neuroscience Meeting (CNS*2019), July 2019 (poster)

DOI [BibTex]

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

arXiv [BibTex]

Scientific Report 2016 - 2018 2019 (mpi_year_book)

Scientific Report 2016 - 2018 [BibTex]

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

link (url) [BibTex]

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

arXiv [BibTex]

Goris, R., Henaff, O., Meding, K. Representation of sensory uncertainty in macaque visual cortex Computational and Systems Neuroscience (COSYNE) 2018, March 2018 (poster)

[BibTex]

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

link (url) [BibTex]

Safavi, S., Panagiotaropoulos, T., Kapoor, V., Logothetis, N. K., Besserve, M. Generalized phase locking analysis of electrophysiology data 7th AREADNE Conference on Research in Encoding and Decoding of Neural Ensembles, 2018 (poster)

link (url) [BibTex]

Pérez-Pellitero, E., Sajjadi, M. S. M., Hirsch, M., Schölkopf, B. Photorealistic Video Super Resolution Workshop and Challenge on Perceptual Image Restoration and Manipulation (PIRM) at the 15th European Conference on Computer Vision (ECCV), 2018 (poster)

[BibTex]

Meding, K., Hirsch, M., Wichmann, F. A. Retinal image quality of the human eye across the visual field 14th Biannual Conference of the German Society for Cognitive Science (KOGWIS 2018), 2018 (poster)

[BibTex]

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]

Aghaeifar, A., Loktyushin, A., Eschelbach, M., Scheffler, K. Improving performance of linear field generation with multi-coil setup by optimizing coils position Magnetic Resonance Materials in Physics, Biology and Medicine, 30(Supplement 1):S259, 34th Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine and Biology (ESMRMB), October 2017 (poster)

link (url) DOI [BibTex]

Loktyushin, A., Ehses, P., Schölkopf, B., Scheffler, K. Estimating B0 inhomogeneities with projection FID navigator readouts 25th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM), April 2017 (poster)

link (url) [BibTex]

Feng, X., Loktyushin, A., Deistung, A., Reichenbach, J. Image Quality Improvement by Applying Retrospective Motion Correction on Quantitative Susceptibility Mapping and R2* 25th Annual Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM), April 2017 (poster)

link (url) [BibTex]

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

ArXiv PDF [BibTex]

Peters, J., Janzing, D., Schölkopf, B. Elements of Causal Inference - Foundations and Learning Algorithms Adaptive Computation and Machine Learning Series, The MIT Press, Cambridge, MA, USA, 2017 (book)

PDF link (url) [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]