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2403 results (BibTeX)

2018


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Wasserstein Auto-Encoders

Tolstikhin, I., Bousquet, O., Gelly, S., Schölkopf, B.

6th International Conference on Learning Representations (ICLR 2018), 2018 (conference) Accepted

link (url) [BibTex]

2018

link (url) [BibTex]


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Autofocusing-based phase correction

Loktyushin, A., Ehses, P., Schölkopf, B., Scheffler, K.

Magnetic Resonance in Medicine, 2018, Epub ahead (article) In press

DOI [BibTex]

DOI [BibTex]


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Boosting Variational Inference: an Optimization Perspective

Locatello, F., Khanna, R., Ghosh, J., Rätsch, G.

Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (AISTATS 2018), 2018 (conference) Accepted

[BibTex]

[BibTex]


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Group invariance principles for causal generative models

Besserve, M., Shajarisales, N., Schölkopf, B., Janzing, D.

Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (AISTATS 2018), 2018 (conference) Accepted

[BibTex]

[BibTex]


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Cause-Effect Inference by Comparing Regression Errors

Blöbaum, P., Janzing, D., Washio, T., Shimizu, S., Schölkopf, B.

Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (AISTATS 2018) , 2018 (conference) Accepted

[BibTex]

[BibTex]


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Frame-Recurrent Video Super-Resolution

Sajjadi, M. S. M., Vemulapalli, R., Brown, M.

The IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018) , 2018 (conference) Accepted

ArXiv [BibTex]

ArXiv [BibTex]


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Leveraging the Crowd to Detect and Reduce the Spread of Fake News and Misinformation

Kim, J., Tabibian, B., Oh, A., Schölkopf, B., Gomez Rodriguez, M.

Proceedings of the 11th ACM International Conference on Web Search and Data Mining (WSDM 2018), 2018 (conference) Accepted

[BibTex]

[BibTex]

2017


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Discriminative k-shot learning using probabilistic models

Bauer*, M., Rojas-Carulla*, M., Świątkowski, J. B., Schölkopf, B., Turner, R. E.

Second Workshop on Bayesian Deep Learning (NIPS 2017), 2017, *equal contribution (conference)

link (url) [BibTex]

2017

link (url) [BibTex]


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Learning Independent Causal Mechanisms

Parascandolo, G., Rojas-Carulla, M., Kilbertus, N., Schölkopf, B.

Workshop on Learning Disentangled Representations: from Perception to Control at the 31st Conference on Neural Information Processing Systems (NIPS), 2017 (conference)

link (url) [BibTex]

link (url) [BibTex]


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Greedy Algorithms for Cone Constrained Optimization with Convergence Guarantees

Locatello, F., Tschannen, M., Rätsch, G., Jaggi, M.

Advances in Neural Information Processing Systems 30, pages: 773-784, (Editors: I. Guyon and U. V. Luxburg and S. Bengio and H. Wallach and R. Fergus and S. Vishwanathan and R. Garnett), Curran Associates, Inc., 31th Annual Conference on Neural Information Processing Systems (NIPS), 2017 (conference)

link (url) [BibTex]

link (url) [BibTex]


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Boosting Variational Inference: an Optimization Perspective

Locatello, F., Khanna, R., Ghosh, J., Rätsch, G.

Workshop on Advances in Approximate Bayesian Inference at the 31st Conference on Neural Information Processing Systems (NIPS), 2017 (conference)

link (url) [BibTex]

link (url) [BibTex]


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ConvWave: Searching for Gravitational Waves with Fully Convolutional Neural Nets

Gebhard, T., Kilbertus, N., Parascandolo, G., Harry, I., Schölkopf, B.

Workshop on Deep Learning for Physical Sciences (DLPS) at the 31st Conference on Neural Information Processing Systems (NIPS), 2017 (conference)

link (url) [BibTex]

link (url) [BibTex]


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Safe Adaptive Importance Sampling

Stich, S. U., Raj, A., Jaggi, M.

Advances in Neural Information Processing Systems 30, pages: 4384-4394, (Editors: I. Guyon and U. V. Luxburg and S. Bengio and H. Wallach and R. Fergus and S. Vishwanathan and R. Garnett), Curran Associates, Inc., 31th Annual Conference on Neural Information Processing Systems (NIPS), 2017 (conference)

link (url) [BibTex]

link (url) [BibTex]


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Methods and measurements to compare men against machines

Wichmann, F. A., Janssen, D. H. J., Geirhos, R., Aguilar, G., Schütt, H. H., Maertens, M., Bethge, M.

Human Vision and Electronic Imaging (HVEI 2016), pages: 36-45, Society for Imaging Science and Technology, 2017 (conference)

DOI [BibTex]

DOI [BibTex]


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A parametric texture model based on deep convolutional features closely matches texture appearance for humans

Wallis, T. S. A., Funke, C. M., Ecker, A. S., Gatys, L. A., Wichmann, F. A., Bethge, M.

Journal of Vision, 17(12), 2017 (article)

DOI [BibTex]

DOI [BibTex]


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An image-computable psychophysical spatial vision model

Schütt, H. H., Wichmann, F. A.

Journal of Vision, 17(12), 2017 (article)

DOI [BibTex]

DOI [BibTex]


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Statistical Asymmetries Between Cause and Effect

Janzing, D.

In Time in Physics, pages: 129-139, Tutorials, Schools, and Workshops in the Mathematical Sciences, (Editors: Renner, Renato and Stupar, Sandra), Springer International Publishing, Cham, 2017 (inbook)

link (url) DOI [BibTex]

link (url) DOI [BibTex]


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Learning Causality and Causality-Related Learning: Some Recent Progress

Zhang, K., Schölkopf, B., Spirtes, P., Glymour, C.

National Science Review, pages: nwx137, 2017 (article) To be published

DOI [BibTex]

DOI [BibTex]


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Case Series: Slowing Alpha Rhythm in Late-Stage ALS Patients

Hohmann, M. R., Fomina, T., Jayaram, V., Emde, T., Just, J., Synofzik, M., Schölkopf, B., Schöls, L., Grosse-Wentrup, M.

Clinical Neurophysiology, 129(2):406-408, 2017 (article)

link (url) DOI [BibTex]

link (url) DOI [BibTex]


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Avoiding Discrimination through Causal Reasoning

Kilbertus, N., Rojas-Carulla, M., Parascandolo, G., Hardt, M., Janzing, D., Schölkopf, B.

Advances in Neural Information Processing Systems 30, pages: 656-666, (Editors: I. Guyon and U. V. Luxburg and S. Bengio and H. Wallach and R. Fergus and S. Vishwanathan and R. Garnett), Curran Associates, Inc., 31th Annual Conference on Neural Information Processing Systems (NIPS), 2017 (conference)

link (url) [BibTex]

link (url) [BibTex]


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Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning

Gu, S., Lillicrap, T., Turner, R. E., Ghahramani, Z., Schölkopf, B., Levine, S.

Advances in Neural Information Processing Systems 30, pages: 3849-3858, (Editors: I. Guyon and U. V. Luxburg and S. Bengio and H. Wallach and R. Fergus and S. Vishwanathan and R. Garnett), Curran Associates, Inc., 31th Annual Conference on Neural Information Processing Systems (NIPS), 2017 (conference)

link (url) [BibTex]

link (url) [BibTex]


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Kernel-based tests for joint independence

Pfister, N., Bühlmann, P., Schölkopf, B., Peters, J.

Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2017 (article)

DOI [BibTex]

DOI [BibTex]


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New Directions for Learning with Kernels and Gaussian Processes (Dagstuhl Seminar 16481)

Gretton, A., Hennig, P., Rasmussen, C., Schölkopf, B.

Dagstuhl Reports, 6(11):142-167, 2017 (article)

DOI [BibTex]

DOI [BibTex]


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Detecting Confounding in Multivariate Linear Models via Spectral Analysis

Janzing, D., Schölkopf, B.

Journal of Causal Inference, 2017, *ahead of print (article)

DOI [BibTex]


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Kernel Mean Embedding of Distributions: A Review and Beyond

Muandet, K., Fukumizu, K., Sriperumbudur, B., Schölkopf, B.

Foundations and Trends in Machine Learning, 10(1-2):1-141, 2017 (article)

DOI [BibTex]

DOI [BibTex]


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Absence of EEG correlates of self-referential processing depth in ALS

Fomina, T., Weichwald, S., Synofzik, M., Just, J., Schöls, L., Schölkopf, B., Grosse-Wentrup, M.

PLOS ONE, 12(6):e0180136, 2017 (article)

DOI [BibTex]


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Automatic detection of motion artifacts in MR images using CNNS

Meding, K., Loktyushin, A., Hirsch, M.

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017), pages: 811-815, 2017 (conference)

DOI [BibTex]

DOI [BibTex]


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Ecological feedback in quorum-sensing microbial populations can induce heterogeneous production of autoinducers

Bauer*, M., Knebel*, J., Lechner, M., Pickl, P., Frey, E.

{eLife}, July 2017, *equal contribution (article)

DOI [BibTex]

DOI [BibTex]


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Minimax Estimation of Kernel Mean Embeddings

Tolstikhin, I., Sriperumbudur, B., Muandet, K.

Journal of Machine Learning Research, 18(86):1-47, 2017 (article)

link (url) [BibTex]

link (url) [BibTex]


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Lost Relatives of the Gumbel Trick

Balog, M., Tripuraneni, N., Ghahramani, Z., Weller, A.

Proceedings of the 34th International Conference on Machine Learning (ICML 2017), 70, pages: 371-379, Proceedings of Machine Learning Research, (Editors: Doina Precup and Yee Whye Teh), PMLR, 2017 (conference)

Code link (url) [BibTex]

Code link (url) [BibTex]


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Deep Reinforcement Learning for Robotic Manipulation with Asynchronous Off-Policy Updates

Gu*, S., Holly*, E., Lillicrap, T., Levine, S.

IEEE International Conference on Robotics and Automation (ICRA 2017), 2017, *equal contribution (conference)

Arxiv [BibTex]

Arxiv [BibTex]


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Categorical Reparametrization with Gumble-Softmax

Jang, E., Gu, S., Poole, B.

5th International Conference on Learning Representations (ICLR 2017), 2017 (conference)

link (url) [BibTex]

link (url) [BibTex]


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Q-Prop: Sample-Efficient Policy Gradient with An Off-Policy Critic

Gu, S., Lillicrap, T., Ghahramani, Z., Turner, R. E., Levine, S.

5th International Conference on Learning Representations (ICLR 2017), 2017 (conference)

PDF [BibTex]

PDF [BibTex]


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Sequence Tutor: Conservative fine-tuning of sequence generation models with KL-control

Jaques, N., Gu, S., Bahdanau, D., Hernández-Lobato, J. M., Turner, R. E., Eck, D.

Proceedings of the 34th International Conference on Machine Learning (ICML 2017), 70, pages: 1645-1654, Proceedings of Machine Learning Research, (Editors: Doina Precup and Yee Whye Te), PMLR, 2017 (conference)

Arxiv link (url) [BibTex]

Arxiv link (url) [BibTex]


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Behind Distribution Shift: Mining Driving Forces of Changes and Causal Arrows

Huang, B., Zhang, K., Zhang, J., Sanchez-Romero, R., Glymour, C., Schölkopf, B.

IEEE 17th International Conference on Data Mining (ICDM 2017), pages: 913-918, (Editors: Vijay Raghavan,Srinivas Aluru, George Karypis, Lucio Miele and Xindong Wu), 2017 (conference)

DOI [BibTex]

DOI [BibTex]


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Personalized Brain-Computer Interface Models for Motor Rehabilitation

Mastakouri, A., Weichwald, S., Ozdenizci, O., Meyer, T., Schölkopf, B., Grosse-Wentrup, M.

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC 2017), pages: 3024-3029, 2017 (conference)

PDF DOI [BibTex]

PDF DOI [BibTex]


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Learning Blind Motion Deblurring

Wieschollek, P., Hirsch, M., Schölkopf, B., Lensch, H.

IEEE International Conference on Computer Vision (ICCV 2017), pages: 231-240, 2017 (conference)

link (url) [BibTex]

link (url) [BibTex]


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Online Video Deblurring via Dynamic Temporal Blending Network

Kim, T. H., Lee, K. M., Schölkopf, B., Hirsch, M.

IEEE International Conference on Computer Vision (ICCV 2017), pages: 4038-4047, 2017 (conference)

link (url) [BibTex]

link (url) [BibTex]


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Causal Consistency of Structural Equation Models

Rubenstein*, P. K., Weichwald*, S., Bongers, S., Mooij, J. M., Janzing, D., Grosse-Wentrup, M., Schölkopf, B.

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence (UAI 2017), (Editors: Gal Elidan, Kristian Kersting, and Alexander T. Ihler), 2017, *equal contribution (conference)

Arxiv link (url) [BibTex]

Arxiv link (url) [BibTex]


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Detecting distortions of peripherally presented letter stimuli under crowded conditions

Wallis, T. S. A., Tobias, S., Bethge, M., Wichmann, F. A.

Attention, Perception, & Psychophysics, 79(3):850-862, 2017 (article)

DOI [BibTex]

DOI [BibTex]


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Causal Discovery from Temporally Aggregated Time Series

Gong, M., Zhang, K., Schölkopf, B., Glymour, C., Tao, D.

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence (UAI 2017), pages: ID 269, (Editors: Gal Elidan, Kristian Kersting, and Alexander T. Ihler), 2017 (conference)

link (url) [BibTex]

link (url) [BibTex]