Publikationen von B Schölkopf

Besserve, M.; Shajarisales, N.; Schölkopf, B.; Janzing, D.: Group invariance principles for causal generative models. In: International Conference on Artificial Intelligence and Statistics, 9-11 April 2018, Playa Blanca, Lanzarote, Canary Islands, S. 557 - 565 (Hg. Storkey , A.; Perez-Cruz, F.). 21st International Conference on Artificial Intelligence and Statistics (AISTATS 2018), Playa Blanca, Spain, 09. April 2018 - 11. April 2018. International Machine Learning Society, Madison, WI, USA (2018)

Loktyushin, A.; Schuler, C.; Scheffler, K.; Schölkopf, B.: Retrospective Motion Correction of Magnitude-Input MR Images. In: Machine Learning Meets Medical Imaging, S. 3 - 12 (Hg. Bhatia , K.K.). First International Workshop on Machine Learning Meets Medical Imaging (MLMMI 2015), held in conjunction with ICML 2015, Lille, France, 11. Juli 2015. IEEE, Piscataway, NJ, USA (2016)

Shajarisales, N.; Janzing, D.; Schölkopf, B.; Besserve, M.: Telling Cause from Effect in Deterministic Linear Dynamical Systems. In: International Conference on Machine Learning, 7-9 July 2015, Lille, France, S. 285 - 294 (Hg. Bach , F.; Blei, D.). 32nd International Conference on Machine Learning (ICML 2015), Lille, France. International Machine Learning Society, Madison, WI, USA (2015)

Besserve, M.; Logothetis, N.; Schölkopf, B.: Statistical analysis of coupled time series with Kernel Cross-Spectral Density operators. In: Advances in Neural Information Processing Systems 26, S. 2535 - 2543 (Hg. Burges, C.; Bottou, L.; Welling, M.; Ghahramani, Z.; Weinberger, K.Q.). Twenty-Seventh Annual Conference on Neural Information Processing Systems (NIPS 2013), Lake Tahoe, NV, USA. Curran, Red Hook, NY, USA (2014)

Mülling, K.; Boularias, A.; Mohler, B.; Schoelkopf, B.; Peters, J.: Inverse Reinforcement Learning for Strategy Extraction. In: ECML PKDD 2013 Workshop on Machine Learning and Data Mining for Sports Analytics (MLSA 2013), S. 1 - 9. ECML PKDD 2013 Workshop on Machine Learning and Data Mining for Sports Analytics (MLSA 2013), Praha, Czech Republic. (2013)

Köhler, R.; Hirsch, M.; Mohler, B.; Schölkopf, B.; Harmeling, S.: Recording and Playback of Camera Shake: Benchmarking Blind Deconvolution with a Real-World Database. In: Computer Vision - ECCV 2012, S. 27 - 40 (Hg. Fitzgibbon, A.; Lazebnik, S.; Perona, P.; Sato, Y.; Schmid, C.). 12th European Conference on Computer Vision (ECCV 2012), Firenze, Italy, 07. Oktober 2012 - 13. Oktober 2012. Springer, Berlin, Germany (2012)

Gomez Rodriguez, M.; Schölkopf, B.: Influence Maximization in Continuous Time Diffusion Networks. In: 29th International Conference on Machine Learning (ICML 2012), S. 313 - 320 (Hg. Langford, J.; Pineau, J.). 29th International Conference on Machine Learning (ICML 2012), Edinburgh, UK. International Machine Learning Society, Madison, WI, USA (2012)

Gomez Rodriguez, M.; Schölkopf, B.: Submodular Inference of Diffusion Networks from Multiple Trees. In: 29th International Conference on Machine Learning (ICML 2012), S. 489 - 496 (Hg. Langford, J.; Pineau, J.). 29th International Conference on Machine Learning (ICML 2012), Edinburgh, UK. International Machine Learning Society, Madison, WI, USA (2012)

Schölkopf, B.; Janzing, D.; Peters, J.; Sgouritsa, E.; Zhang, K.; Mooij, J.: On causal and anticausal learning. In: 29th International Conference on Machine Learning (ICML 2012), S. 1255 - 1262 (Hg. Langford, J.; Pineau, J.). 29th International Conference on Machine Learning (ICML 2012), Edinburgh, UK. International Machine Learning Society, Madison, WI, USA (2012)

Wang, Z.; Deisenroth, M.; Ben Amor, H.; Vogt, D.; Schölkopf, B.; Peters, J.: Probabilistic Modeling of Human Movements for Intention Inference. In: Robotics: Science and Systems VIII, S. 433 - 440 (Hg. Roy, N.; Newman, P.; Srinivasa, S.). 2012 Robotics: Science and Systems Conference, Sydney, Australia. MIT Press, Cambridge, MA, USA (2012)

Gehler, P.; Rother, C.; Kiefel, M.; Zhang, L.; Schölkopf, B.: Recovering Intrinsic Images with a Global Sparsity Prior on Reflectance. In: Advances in Neural Information Processing Systems 24, S. 765 - 773 (Hg. Shawe-Taylor, J.; Zemel, R.; Bartlett, P.; Pereira, F.; Weinberger, K.). Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS 2011), Granada, Spain. Curran, Red Hook, NY, USA (2012)

Mooij, J.; Janzing, D.; Heskes, T.; Schölkopf, B.: On Causal Discovery with Cyclic Additive Noise Models. In: Advances in Neural Information Processing Systems 24, S. 639 - 647 (Hg. Shawe-Taylor, J.; Zemel, R.; Bartlett, P.; Pereira, F.; Weinberger, K.). Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS 2011), Granada, Spain. Curran, Red Hook, NY, USA (2012)

Hirsch, M.; Schuler, C.; Harmeling, S.; Schölkopf, B.: Fast removal of non-uniform camera shake. In: 13th IEEE International Conference on Computer Vision (ICCV 2011), S. 463 - 470. 13th IEEE International Conference on Computer Vision (ICCV 2011), Barcelona, Spain. IEEE, Piscataway, NJ, USA (2011)

Schuler, C.; Hirsch, M.; Harmeling, S.; Schölkopf, B.: Non-stationary correction of optical aberrations. In: 13th IEEE International Conference on Computer Vision (ICCV 2011), S. 659 - 666. 13th IEEE International Conference on Computer Vision (ICCV 2011), Barcelona, Spain. IEEE, Piscataway, NJ, USA (2011)

Bocsi, B.; Nguyen-Tuong, D.; Csato, L.; Schölkopf, B.; Peters, J.: Learning inverse kinematics with structured prediction. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011), S. 698 - 703 (Hg. Amato, N.). IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011), San Francisco, CA, USA. IEEE, Piscataway, NJ, USA (2011)

Wang, Z.; Lampert, C.; Mülling, K.; Schölkopf, B.; Peters, J.: Learning anticipation policies for robot table tennis. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011), S. 332 - 337 (Hg. Amato, N.). IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2011), San Francisco, CA, USA. IEEE, Piscataway, NJ, USA (2011)

Achlioptas, P.; Schölkopf, B.; Borgwardt, K.: Two-locus association mapping in subquadratic time. In: 17th ACM SIGKKD Conference on Knowledge Discovery and Data Mining (KDD 2011), S. 726 - 734 (Hg. Apté, C.; Ghosh, J.; Smyth, P.). 17th ACM SIGKKD Conference on Knowledge Discovery and Data Mining (KDD 2011), San Diego, CA, USA. ACM Press, New York, NY, USA (2011)

Besserve, M.; Janzing, D.; Logothetis, N.; Schölkopf, B.: Finding dependencies between frequencies with the kernel cross-spectral density. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2011), S. 2080 - 2083. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2011), Praha, Czech Republic, 22. Mai 2011 - 27. Mai 2011. IEEE, Piscataway, NJ, USA (2011)

Franc, V.; Zien, A.; Schölkopf, B.: Support Vector Machines as Probabilistic Models. In: 28th International Conference on Machine Learning (ICML 2011), S. 665 - 672 (Hg. Getoor, L.; Scheffer, T.). 28th International Conference on Machine Learning (ICML 2011), Bellevue, WA, USA. International Machine Learning Society, Madison, WI, USA (2011)

Gomez Rodriguez, M.; Balduzzi, D.; Schölkopf, B.: Uncovering the Temporal Dynamics of Diffusion Networks. In: 28th International Conference on Machine Learning (ICML 2011), S. 561 - 568 (Hg. Getoor, L.; Scheffer, T.). 28th International Conference on Machine Learning (ICML 2011), Bellevue, WA, USA. International Machine Learning Society, Madison, WI, USA (2011)