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Empirical Inference News 16-03-2018 Süddeutsche Zeitung publiziert Meinungsbeitrag von Bernhard Schölkopf Der Direktor der Abteilung für Empirische Inferenz veröffentlicht einen Gastbeitrag über Künstliche Intelligenz auf Seite 2 der Süddeutschen Zeitung. Thema ist die Kybernetische Revolution und dass Europa dafür die besten Köpfe braucht. Bernhard Schölkopf Claudia Daefler
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Empirical Inference News 19-12-2017 The Question is Why Algorithms learn a Sense of Fairness Only if Artificial Intelligence interprets and applies fairness in the same way as humans do, will society accept it. That is why scientists from the Max Planck Institute for Intelligent Systems in Tübingen look at the causal reasoning behind data – because it matters how data comes about. Only when self-learning machines satisfy our ethical and legal requirements will the public accept them as just and fair. Niki Kilbertus
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Empirical Inference News 14-12-2017 Bernhard Schölkopf receives Leibniz Prize 2018 Germany's most prestigious research funding prize - €2.5 million each for outstanding research work The latest recipients of Germany's most prestigious research funding prize have been announced. The Joint Committee of the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) chose ten researchers, three women and seven men, to receive the 2018 Leibniz Prize. The prizes will be awarded on 19th March 2018 in Berlin. Bernhard Schölkopf Claudia Daefler
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Empirical Inference News 11-12-2017 Bernhard Schölkopf elected ACM Fellow (2017) for his contributions to the theory and practice of machine learning ACM's most prestigious member grade recognizes the top 1% of ACM members for their outstanding accomplishments in computing and information technology and/or outstanding service to ACM and the larger computing community. Bernhard Schölkopf
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Empirical Inference News 27-11-2017 Artificial Intelligence to the rescue in finishing off Fake News An algorithm jointly developed by researchers of the Max-Planck Institute for Intelligent Systems and for Software Systems in Kaiserslautern promises to optimize which doubtful news stories to send for fact checking and when to do so, helping to prevent fake news from spreading on Social Media. Manuel Gomez Rodriguez
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Empirical Inference News 26-10-2017 From small to not so pixel-perfect large The Algorithm EnhanceNet-PAT is OK not being perfect – but shows a better result (Talk at ICCV 2017, Venice) Scientists at the Max Planck Institute for Intelligent Systems in Tübingen utilize the Artificial Intelligence of a software to create a high definition version of a low resolution image. While the pixel-perfectness is being sacrificed, the reward is a better result. Bernhard Schölkopf Mehdi S. M. Sajjadi Michael Hirsch Claudia Daefler
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Empirical Inference News 19-06-2017 The Machine Learning Summer School 2017 is back in Tübingen! For the fifth time, the MLSS takes place in Tübingen
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Empirical Inference News 01-02-2017 How Can We Use Machine Learning in the Search for Exoplanets? Bernhard Schölkopf joined the initiative "Latest Thinking" Exoplanets are planets beyond our own solar system. Since they do not emit much light and moreover are very close to their parent stars they are difficult to detect directly. When searching for exoplanets, astronomers use telescopes to monitor the brightness of the parent star under investigation: Changes in brightness can point to a passing planet that obstructs part of the star’s surface. The recorded signal, however, contains not only the physical signal of the star but also systematic errors caused by the instrument. As Bernhard Schölkopf explains in this video, this noise can be removed by comparing the signal of the star of interest to those of a large number of other stars. Commonalities in their signals might be due to confounding effects of the instrument. Using machine learning, these observations can be used to train a system to predict the errors and correct the light curves. Bernhard Schölkopf
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Empirical Inference News 08-10-2016 The Paralympics are over - the Cybathlon starts! CYBATHLON Championship for Athletes with Disabilities Zürich. On October 8, 2016, a collaboration of the research group "Brain-Computer-Interfaces" at the MPI-IS and the "Autonomous Systems Lab" at the TU Darmstadt will send a joint team into the Brain-computer-Interface Race at the Cybathlon 2016 in Zurich. The so called Athena-Minerva team consists mainly of computer science students of bachelor and master-level at the Technical University Darmstadt. They are interested in "Machine Learning", signal processing and especially for Brain-Computer-Interfaces (BCI). The team is headed by Moritz Grosse-Wentrup from MPI-IS and by Jan Peters, TU Darmstadt. The pilot is Sebastian Reul. Moritz Grosse-Wentrup
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Empirical Inference News 18-07-2016 Bernhard Schölkopf has been elected member of the "Leopoldina" Leopoldina - National Academy of Sciences Founded in 1652, the Leopoldina is one of the oldest academies of science in the world. It is dedicated to the advancement of science for the benefit of humankind and to the goal of shaping a better future. With some 1,500 members, the Leopoldina brings together outstanding scientists from Germany, Austria, Switzerland and many other countries. Bernhard Schölkopf
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Empirical Inference News 11-07-2016 Matthias Hohmann in portrait #thatsmyscience Matthias Hohmann, PhD Student Max Placnk Institute For Intelligent Sysytems, IMPRS for cognitice and systems neuroscience Matthias Hohmann
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Empirical Inference News 13-06-2016 Jonas Peters New Member of the German "Young Academy" Young, excellent and motivated - Jonas Peters has been elected as one of ten new members to the "Junge Akademie" and will contribute to the interdisciplinary work of this organization. Congratulations! Jonas Peters
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Empirical Inference News 12-12-2015 Best Paper Award @ NIPS Workshop 2015 for Ruth Urner at the NIPS 2015 Workshop on "Transfer and Multitask Learning: Trends and New Perspectives". Ruth Urner
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Empirical Inference News 09-12-2015 Köppen Award 2015 for Machine Learning in Climate Research Excellent doctoral dissertation Dr. Jakob Zscheischler is to receive this year’s Wladimir Peter Köppen Award. The Cluster of Excellence CliSAP selected the mathematician for his excellent doctoral dissertation submitted at the Swiss Federal Institute of Technology Zurich (ETH) in 2014. His work was rated trendsetting by the jurors who found its thematic and methodical approach particularly original. Jakob Zscheischler completed his dissertation in Germany at the German Max Planck Institute for Biogeochemistry in Jena and the Max Planck Institute for Intelligent Systems in Tübingen. Jakob Zscheischler
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Empirical Inference News 03-11-2015 One of the best science videos of the year! 2nd prize at the "Fast Forward Science 2015" Competition The movie "Light gets on your nerves" was financed and coordinated by the Max Planck Society and pictures the research of the Brain-Computer-Interfaces group at our institute. Moritz Grosse-Wentrup Bernhard Schölkopf Tatiana Fomina Sebastian Weichwald Timm Meyer
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Empirical Inference News 13-07-2015 Tübingen is for two weeks the linchpin of the Machine Learning World MLSS 2015 Tübingen The 4th MLSS at Tübingen welcomes more than 110 participants, bringing together 35 nationalities from 19 different countries. Michael Hirsch Philipp Hennig Bernhard Schölkopf
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Empirical Inference News 18-06-2015 Machine Learning for climate research Jakob Zscheischler receives Otto Hahn Medal for his PhD thesis "A global analysis of extreme events and consequences for the terrestrial carbon cycle". Jakob Zscheischler
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Empirical Inference News 16-04-2015 Precise Imprecision Probabilistic Numerical Methods assign Uncertainty to Deterministic Computations With a new approach, Scientists of the Max Planck Institute for Intelligent Systems aim to make numerical algorithms more efficient. During the next five years, this research project will be supported by the Emmy-Noether-Programme of the German Research Foundation (DFG) with nearly a million Euros. The applicant Dr. Philipp Hennig prevailed in a competitive process. With the start of two new PhD students in April this Emmy Noether Group takes up its research activities. Philipp Hennig
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Empirical Inference News 27-11-2014 2014 Milner Award Lecture - Statistical and causal approaches to machine learning In machine learning, we use data to automatically find dependences in the world, with the goal of predicting future observations. Most machine learning methods build on statistics, but one can also try to go beyond this, assaying causal structures underlying statistical dependences. The hope is that this also allows prediction in certain situations where systems change, for instance by interventions. Bernhard Schölkopf
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Empirical Inference News 01-09-2014 Teaching Awards for Moritz Grosse-Wentrup and Daniel Braun Winter and Summer Term 2013 / 14 at Graduate School of Neural Information Processing / University of Tübingen The senior master students present this years teaching awards to Dr. Moritz Grosse-Wentrup (group leader Brain-Computer-Interface group) and Dr. Daniel Braun (group leader Sensorimotor Learning & Decision Making group). Congratulations! Moritz Grosse-Wentrup
Empirical Inference News 01-12-2013 NIPS 2013 outstanding paper award Manuel Gomez-Rodriguez, Department Empirical Inference (Prof. Schölkopf), received an outstanding paper award at NIPS 2013. Manuel Gomez Rodriguez
Empirical Inference News 29-10-2013 2013 Young Investigator Award der International Neural Networks Society für Prof. Jan Peters Preis für entscheidende Beiträge im Bereich der Neuronalen Netzwerke Tübingen. Prof. Ph.D. Jan Peters, Leiter des „Robot-Learning-Labs“ am MPI für Intelligente Systeme, ist mit dem 2013 Young Investigator Award der International Neural Network Society ausgezeichnet worden. Peters hat den Preis erhalten für seine entscheidenden Beiträge im Bereich der Neuronalen Netzwerke, insbesondere zur Entwicklung neuer Lernmethoden, die es Robotern erlauben, neue Fähigkeiten zur Bewegung zu lernen. Jan Peters
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Empirical Inference News 22-01-2013 IEEE RAS Early Career Award for Prof. Jan Peters Prestigious Award in Robotics Research for Scientist of the MPI for Intelligent Systems Jan Peters, head of the Robotics Learning Laboratory at the Tübingen site of the Max Planck Institute for Intelligent Systems and since 2011 Professor of Intelligent Autonomous Systems at the Technical University of Darmstadt, receives the IEEE RAS Early Career Award for his contributions to robot learning. Jan Peters
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