ei Ialongo, A. D., Van Der Wilk, M., Hensman, J., Rasmussen, C. E. Non-factorised Variational Inference in Dynamical Systems 1st Symposion on Advances in Approximate Bayesian Inference, December 2018 (conference)

PDF link (url) [BibTex]

ei Valera, I., Singla, A., Gomez Rodriguez, M. Enhancing the Accuracy and Fairness of Human Decision Making Advances in Neural Information Processing Systems 31, pages: 1774-1783, (Editors: S. Bengio and H. Wallach and H. Larochelle and K. Grauman and N. Cesa-Bianchi and R. Garnett), Curran Associates, Inc., 32nd Annual Conference on Neural Information Processing Systems, December 2018 (conference)

arXiv link (url) Project Page [BibTex]

al ics Baumann, D., Zhu, J., Martius, G., Trimpe, S. Deep Reinforcement Learning for Event-Triggered Control In Proceedings of the 57th IEEE International Conference on Decision and Control (CDC), pages: 943-950, 57th IEEE International Conference on Decision and Control (CDC), December 2018 (inproceedings)

arXiv PDF DOI Project Page Project Page [BibTex]

ei Gordon*, J., Bronskill*, J., Bauer*, M., Nowozin, S., Turner, R. E. Consolidating the Meta-Learning Zoo: A Unifying Perspective as Posterior Predictive Inference Workshop on Meta-Learning (MetaLearn 2018) at the 32nd Conference on Neural Information Processing Systems, December 2018, *equal contribution (conference)

link (url) [BibTex]

ei Gordon*, J., Bronskill*, J., Bauer*, M., Nowozin, S., Turner, R. E. Versa: Versatile and Efficient Few-shot Learning Third Workshop on Bayesian Deep Learning at the 32nd Conference on Neural Information Processing Systems, December 2018, *equal contribution (conference)

link (url) [BibTex]

ei Harder, F., Köhler, J., Welling, M., Park, M. DP-MAC: The Differentially Private Method of Auxiliary Coordinates for Deep Learning Workshop on Privacy Preserving Machine Learning at the 32nd Conference on Neural Information Processing Systems, December 2018 (conference)

link (url) Project Page [BibTex]

ei Locatello*, F., Dresdner*, G., R., K., Valera, I., Rätsch, G. Boosting Black Box Variational Inference Advances in Neural Information Processing Systems 31, pages: 3405-3415, (Editors: S. Bengio and H. Wallach and H. Larochelle and K. Grauman and N. Cesa-Bianchi and R. Garnett), Curran Associates, Inc., 32nd Annual Conference on Neural Information Processing Systems, December 2018, *equal contribution (conference)

arXiv link (url) Project Page [BibTex]

ei Mehrjou, A., Schölkopf, B. Deep Nonlinear Non-Gaussian Filtering for Dynamical Systems Workshop: Infer to Control: Probabilistic Reinforcement Learning and Structured Control at the 32nd Conference on Neural Information Processing Systems, December 2018 (conference)

PDF link (url) [BibTex]

ei Bauer, M., Mnih, A. Resampled Priors for Variational Autoencoders Third Workshop on Bayesian Deep Learning at the 32nd Conference on Neural Information Processing Systems, December 2018 (conference)

link (url) [BibTex]

ei van der Wilk, M., Bauer, M., John, S. T., Hensman, J. Learning Invariances using the Marginal Likelihood Advances in Neural Information Processing Systems 31, pages: 9960-9970, (Editors: S. Bengio and H. Wallach and H. Larochelle and K. Grauman and N. Cesa-Bianchi and R. Garnett), Curran Associates, Inc., 32nd Annual Conference on Neural Information Processing Systems, December 2018 (conference)

link (url) Project Page [BibTex]

ei Nachum, O., Gu, S., Lee, H., Levine, S. Data-Efficient Hierarchical Reinforcement Learning Advances in Neural Information Processing Systems 31, pages: 3307-3317, (Editors: S. Bengio and H. Wallach and H. Larochelle and K. Grauman and N. Cesa-Bianchi and R. Garnett), Curran Associates, Inc., 32nd Annual Conference on Neural Information Processing Systems, December 2018 (conference)

link (url) Project Page [BibTex]

ei Geirhos, R., Temme, C. R. M., Rauber, J., Schütt, H., Bethge, M., Wichmann, F. A. Generalisation in humans and deep neural networks Advances in Neural Information Processing Systems 31, pages: 7549-7561, (Editors: S. Bengio and H. Wallach and H. Larochelle and K. Grauman and N. Cesa-Bianchi and R. Garnett), Curran Associates, Inc., 32nd Annual Conference on Neural Information Processing Systems, December 2018 (conference)

link (url) [BibTex]

ei Kapoor, V., Besserve, M., Logothetis, N. K., Panagiotaropoulos, T. I. Parallel and functionally segregated processing of task phase and conscious content in the prefrontal cortex Communications Biology, 1(215):1-12, December 2018 (article)

link (url) DOI Project Page [BibTex]

ei Chen, J., Hirsch, M., Eberhardt, B., Lensch, H. P. A. A Computational Camera with Programmable Optics for Snapshot High Resolution Multispectral Imaging Computer Vision - ACCV 2018 - 14th Asian Conference on Computer Vision, December 2018 (conference) Accepted

[BibTex]

ei Neitz, A., Parascandolo, G., Bauer, S., Schölkopf, B. Adaptive Skip Intervals: Temporal Abstraction for Recurrent Dynamical Models Advances in Neural Information Processing Systems 31, pages: 9838-9848, (Editors: S. Bengio and H. Wallach and H. Larochelle and K. Grauman and N. Cesa-Bianchi and R. Garnett), Curran Associates, Inc., 32nd Annual Conference on Neural Information Processing Systems, December 2018 (conference)

arXiv link (url) [BibTex]

ei Sajjadi, M. S. M., Bachem, O., Lucic, M., Bousquet, O., Gelly, S. Assessing Generative Models via Precision and Recall Advances in Neural Information Processing Systems 31, pages: 5234-5243, (Editors: S. Bengio and H. Wallach and H. Larochelle and K. Grauman and N. Cesa-Bianchi and R. Garnett), Curran Associates, Inc., 32nd Annual Conference on Neural Information Processing Systems, December 2018 (conference)

arXiv link (url) [BibTex]

ei ics Solowjow, F., Mehrjou, A., Schölkopf, B., Trimpe, S. Efficient Encoding of Dynamical Systems through Local Approximations In Proceedings of the 57th IEEE International Conference on Decision and Control (CDC), pages: 6073 - 6079 , Miami, Fl, USA, December 2018 (inproceedings)

arXiv PDF DOI Project Page [BibTex]

ei Groh*, F., Wieschollek*, P., Lensch, H. P. A. Flex-Convolution (Million-Scale Point-Cloud Learning Beyond Grid-Worlds) Computer Vision - ACCV 2018 - 14th Asian Conference on Computer Vision, December 2018, *equal contribution (conference) Accepted

[BibTex]

ei Kapoor, J., Vergari, A., Gomez Rodriguez, M., Valera, I. Bayesian Nonparametric Hawkes Processes Bayesian Nonparametrics workshop at the 32nd Conference on Neural Information Processing Systems, December 2018 (conference)

PDF link (url) [BibTex]

ei Jitkrittum, W., Kanagawa, H., Sangkloy, P., Hays, J., Schölkopf, B., Gretton, A. Informative Features for Model Comparison Advances in Neural Information Processing Systems 31, pages: 816-827, (Editors: S. Bengio and H. Wallach and H. Larochelle and K. Grauman and N. Cesa-Bianchi and R. Garnett), Curran Associates, Inc., 32nd Annual Conference on Neural Information Processing Systems, December 2018 (conference)

link (url) Project Page [BibTex]

ics Lima, G. S., Bessa, W. M., Trimpe, S. Depth Control of Underwater Robots using Sliding Modes and Gaussian Process Regression In Proceeding of the 15th Latin American Robotics Symposium, João Pessoa, Brazil, 15th Latin American Robotics Symposium, November 2018 (inproceedings)

[BibTex]

ics pf Rohr, A. V., Trimpe, S., Marco, A., Fischer, P., Palagi, S. Gait learning for soft microrobots controlled by light fields In International Conference on Intelligent Robots and Systems (IROS) 2018, pages: 6199-6206, International Conference on Intelligent Robots and Systems 2018, October 2018 (inproceedings)

arXiv IEEE Xplore DOI Project Page [BibTex]

ei Akrour, R., Veiga, F., Peters, J., Neuman, G. Regularizing Reinforcement Learning with State Abstraction Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), October 2018 (conference) Accepted

link (url) Project Page [BibTex]

am Anderson, M., Anderson, S., Berenz, V. A Value-Driven Eldercare Robot: Virtual and Physical Instantiations of a Case-Supported Principle-Based Behavior Paradigm Proceedings of the IEEE, pages: 1,15, October 2018 (article)

link (url) DOI [BibTex]

pn Tronarp, F., Kersting, H., Särkkä, S., Hennig, P. Probabilistic Solutions To Ordinary Differential Equations As Non-Linear Bayesian Filtering: A New Perspective ArXiv preprint 2018, arXiv:1810.03440 [stat.ME], October 2018 (article)

link (url) Project Page [BibTex]

ei Gondaliya, K., Peters, J., Rueckert, E. Learning to Categorize Bug Reports with LSTM Networks Proceedings of the 10th International Conference on Advances in System Testing and Validation Lifecycle (VALID), pages: 7-12, October 2018 (conference)

link (url) [BibTex]

ei Muratore, F., Treede, F., Gienger, M., Peters, J. Domain Randomization for Simulation-Based Policy Optimization with Transferability Assessment 2nd Annual Conference on Robot Learning (CoRL), 87, pages: 700-713, Proceedings of Machine Learning Research, PMLR, October 2018 (conference)

link (url) Project Page [BibTex]

ei Maeda, G., Koc, O., Morimoto, J. Reinforcement Learning of Phase Oscillators for Fast Adaptation to Moving Targets Proceedings of The 2nd Conference on Robot Learning (CoRL), 87, pages: 630-640, (Editors: Aude Billard, Anca Dragan, Jan Peters, Jun Morimoto ), PMLR, October 2018 (conference)

link (url) Project Page [BibTex]

ei Büchler, D., Calandra, R., Schölkopf, B., Peters, J. Control of Musculoskeletal Systems using Learned Dynamics Models IEEE Robotics and Automation Letters, Robotics and Automation Letters, 3(4):3161-3168, IEEE, 2018 (article)

RAL18final link (url) DOI Project Page [BibTex]

ei Akrour, R., Peters, J., Neuman, G. Constraint-Space Projection Direct Policy Search 14th European Workshop on Reinforcement Learning (EWRL), October 2018 (conference)

link (url) Project Page [BibTex]

ei Kim, T. H., Sajjadi, M. S. M., Hirsch, M., Schölkopf, B. Spatio-temporal Transformer Network for Video Restoration 15th European Conference on Computer Vision (ECCV), Part III, 11207, pages: 111-127, Lecture Notes in Computer Science, (Editors: Vittorio Ferrari, Martial Hebert,Cristian Sminchisescu and Yair Weiss), Springer, September 2018 (conference)

DOI [BibTex]

ei Wieschollek, P., Gallo, O., Gu, J., Kautz, J. Separating Reflection and Transmission Images in the Wild European Conference on Computer Vision (ECCV), September 2018 (conference)

link (url) [BibTex]

ei Schmid, K., Belzner, L., Kiermeier, M., Neitz, A., Phan, T., Gabor, T., Linnhoff, C. Risk-Sensitivity in Simulation Based Online Planning KI 2018: Advances in Artificial Intelligence - 41st German Conference on AI, pages: 229-240, (Editors: F. Trollmann and A. Y. Turhan), Springer, Cham, September 2018 (conference)

DOI [BibTex]

am Berenz, V., Schaal, S. Playful: Reactive Programming for Orchestrating Robotic Behavior IEEE Robotics Automation Magazine, 25(3):49-60, September 2018 (article) In press

playful website playful_IEEE_RAM link (url) DOI [BibTex]

ei Gondal, M. W., Schölkopf, B., Hirsch, M. The Unreasonable Effectiveness of Texture Transfer for Single Image Super-resolution Workshop and Challenge on Perceptual Image Restoration and Manipulation (PIRM) at the 15th European Conference on Computer Vision (ECCV), September 2018 (conference)

arXiv URL [BibTex]

am Shao, L., Tian, Y., Bohg, J. ClusterNet: Instance Segmentation in RGB-D Images arXiv, September 2018, Submitted to ICRA'19 (article) Submitted

link (url) [BibTex]

am mg Merzic, H., Bogdanovic, M., Kappler, D., Righetti, L., Bohg, J. Leveraging Contact Forces for Learning to Grasp arXiv, September 2018, Submitted to ICRA'19 (article) Submitted

video arXiv [BibTex]

ei Rubenstein, P. K., Bongers, S., Schölkopf, B., Mooij, J. M. From Deterministic ODEs to Dynamic Structural Causal Models Proceedings of the 34th Conference on Uncertainty in Artificial Intelligence (UAI), August 2018 (conference)

Arxiv link (url) [BibTex]

ics Soloperto, R., Müller, M. A., Trimpe, S., Allgöwer, F. Learning-Based Robust Model Predictive Control with State-Dependent Uncertainty In Proceedings of the IFAC Conference on Nonlinear Model Predictive Control (NMPC), Madison, Wisconsin, USA, 6th IFAC Conference on Nonlinear Model Predictive Control, August 2018 (inproceedings)

PDF [BibTex]

ei Huang, B., Zhang, K., Lin, Y., Schölkopf, B., Glymour, C. Generalized Score Functions for Causal Discovery Proceedings of the 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), pages: 1551-1560, (Editors: Yike Guo and Faisal Farooq), ACM, August 2018 (conference)

link (url) DOI [BibTex]

pn Kajihara, T., Kanagawa, M., Yamazaki, K., Fukumizu, K. Kernel Recursive ABC: Point Estimation with Intractable Likelihood Proceedings of the 35th International Conference on Machine Learning, pages: 2405-2414, PMLR, July 2018 (conference)

Paper [BibTex]

ei Yurtsever, A., Fercoq, O., Locatello, F., Cevher, V. A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming Proceedings of the 35th International Conference on Machine Learning (ICML), 80, pages: 5713-5722, Proceedings of Machine Learning Research, (Editors: Dy, Jennifer and Krause, Andreas), PMLR, July 2018 (conference)

link (url) Project Page [BibTex]

ei Kilbertus, N., Gascon, A., Kusner, M., Veale, M., Gummadi, K., Weller, A. Blind Justice: Fairness with Encrypted Sensitive Attributes Proceedings of the 35th International Conference on Machine Learning (ICML), 80, pages: 2635-2644, Proceedings of Machine Learning Research, (Editors: Dy, Jennifer and Krause, Andreas), PMLR, July 2018 (conference)

link (url) Project Page [BibTex]

ei Janzing, D., Schölkopf, B. Detecting non-causal artifacts in multivariate linear regression models Proceedings of the 35th International Conference on Machine Learning (ICML), 80, pages: 2250-2258, Proceedings of Machine Learning Research, (Editors: Dy, Jennifer and Krause, Andreas), PMLR, July 2018 (conference)

link (url) [BibTex]

ei Loktyushin, A., Ehses, P., Schölkopf, B., Scheffler, K. Learning-based solution to phase error correction in T2*-weighted GRE scans 1st International conference on Medical Imaging with Deep Learning (MIDL), July 2018 (conference)

link (url) [BibTex]

ei Tucker, G., Bhupatiraju, S., Gu, S., Turner, R., Ghahramani, Z., Levine, S. The Mirage of Action-Dependent Baselines in Reinforcement Learning Proceedings of the 35th International Conference on Machine Learning (ICML), 80, pages: 5022-5031, Proceedings of Machine Learning Research, (Editors: Dy, Jennifer and Krause, Andreas), PMLR, July 2018 (conference)

PDF link (url) Project Page [BibTex]

ei Besserve, M., Sun, R., Schölkopf, B. Intrinsic disentanglement: an invariance view for deep generative models Workshop on Theoretical Foundations and Applications of Deep Generative Models at ICML, July 2018 (conference)

PDF [BibTex]

ei Sajjadi, M. S. M., Bachem, O., Lucic, M., Bousquet, O., Gelly, S. Assessing Generative Models via Precision and Recall Workshop on Theoretical Foundations and Applications of Deep Generative Models (TADGM) at the 35th International Conference on Machine Learning (ICML), July 2018 (conference)

arXiv [BibTex]

ei Sajjadi, M. S. M., Parascandolo, G., Mehrjou, A., Schölkopf, B. Tempered Adversarial Networks Proceedings of the 35th International Conference on Machine Learning (ICML), 80, pages: 4448-4456, Proceedings of Machine Learning Research, (Editors: Dy, Jennifer and Krause, Andreas), PMLR, July 2018 (conference)

arXiv link (url) Project Page [BibTex]

ei Parmas, P., Rasmussen, C., Peters, J., Doya, K. PIPPS: Flexible Model-Based Policy Search Robust to the Curse of Chaos Proceedings of the 35th International Conference on Machine Learning (ICML), 80, pages: 4065-4074, Proceedings of Machine Learning Research, (Editors: Dy, Jennifer and Krause, Andreas), PMLR, July 2018 (conference)

link (url) Project Page [BibTex]