university of tuebingen machine learning

Research Group Theory of Machine Learning University of Tübingen > Computer Science > Groups > Theory of Machine Learning University of Tübingen Innovative, interdisciplinary, international: These three words summarize what makes the University of Tübingen special. Back; Team. Since this is a highly demanding area, a PhD degree is often required. We know from animal experiments that new memories are reactivated during sleep. The University of Tuebingen collaborates closely with the  Max Planck Institute for Intelligent Systems and the Max Planck Institute for Biological Cybernetics and they form together one of leading research hubs for machine learning in Europe and world-wide. The University of Tuebingen collaborates closely with the Max Planck Institute for Intelligent Systems and the Max Planck Institute for Biological Cybernetics and they form together one of leading research hubs for machine learning in Europe and world-wide. Uppsala, Schweden). zeynep.akata at uni-tuebingen.de (+49) 07071 29 70890 Office: 40-30/A24, Maria von Linden Straße 6 Profile Publications Research Teaching Students. In this whole Master program, besides professional expertise, graduates will also acquire language skills and intercultural competence due to the program’s international nature – another requirement of the international job market, both in academia and without. Teamprojekt Machine Learning in the Field of Eye Tracking ... margot.reimold@mnf.uni-tuebingen.de. 6, D-72076 Tübingen ... We seek to use insights from human cognition to improve machine learning methods, while also using advances in machine learning as tools for understanding human intelligence. No, Application deadline 1st semester You should start planning it 12 to 18 months before your departure. Jobs and internships can be found in the Praxisportal. I am a professor for computer science, with research focus on the theory of machine learning. Close • Posted by 12 minutes ago. The programme consists of four major study areas: Foundations of Machine Learning, Diverse Topics in Machine Learning, General Computer Science, and Expanded Perspectives. transcripts, and two reference letters of your application to the Cambridge PhD programme in Advanced Machine Learning … Computer science: Programming, Algorithms and Data Structures. We developed an automated pipeline that uses state-of-the-art machine learning algorithms to create a disease risk model based on a given GWAS SNP dataset and assesses its predictive performance for unseen datasets. Which requirements must I meet for studies? The purpose of this post is to give an overview of the Machine Learning … papers. Research. Graduates in this international Master's program will be competent in all basic and many advanced areas of machine learning, understanding and suitably applying this increasingly essential tool for dealing with large datasets, be it in science, industry or alternative domains. Applicants should have or expect to soon obtain, a PhD (or equivalent) in a relevant area. The University of Tübingen was founded in 1477 by Count Eberhard V (Eberhard im Bart, 1445–1496), later the first Duke of Württemberg, a civic and ecclesiastic reformer who established the school after becoming absorbed in the Renaissance revival of learning during his travels to Italy. 72076 Tübingen. Umfang . Develop an algorithm to automate the picking plan for mushroom clusters. Research group on theory of machine learning. The CS department places strong emphasis on interdisciplinary cooperation with other university departments, in particular medicine, biology, psychology, and media studies, and also with the three Max Planck Institutes located in Tübingen. Back; Open Positions; People. The amount of work covered by this course constitute 2 SWS for lectures and 1 SWS for graded exercises. The University aims to increase the proportion of women in research and teaching and therefore urges suitably qualified women scientists to apply. Intro to Deep Learning from Andreas Geiger At University of Tuebingen. Machine Learning, Explainable AI, Multimodal Learning, Zero-Shot Learning, Computer Vision, University of Tuebingen, Uni Tübingen, Max Planck Institute. University of Tübingen Department of Computer Science Maria von Linden Str. @ Max Planck Institute for Intelligent Systems and University of Tuebingen . compositionality. Eye-tracking technology has found its way into many fields of research and applications, enabling sensing of the visual behavior in mobile, outdoor settings. Show more Show less. The Master’s program in machine learning is research-oriented and will enable graduates to analyze, implement, leverage, and modify techniques of machine learning. Welcome to our International Master's Program in Machine Learning! Lifelong learning; Quicklinks All Degree Programs; ALMA Portal; Excellence Initiative; Staff Search (EPV) Student Administration; University Library; Online Course Catalogue; Webmail Uni Tübingen; Advice for International Students; Cluster of Excellence – Machine Learning for Science Cluster of Excellence – Machine Learning for Science. All lectures of the course "Statistical Machine Learning" by Ulrike von Luxburg, University of Tübingen, Summer Term 2020. The international Master’s program in machine learning offers a wide choice of courses in computer science and, apart from a few mandatory courses, allows students to choose their subjects according to interest. Our International Master's program in Machine Learning has opened its doors in the winter term 2019/2020. It is mostly inspired by Yoshua Bengio's talk at NeurIPS 2019 with some personal inputs. Statistical Machine Learning (Summer term 2020) Quick links (publically available): youtube channel for the videos Slides Course material Slides: Latest version, updated 2020-08-19: pdf Videos: The videos of the lecture can all be found on youtube. Winter semester, Language of instruction Back; Team. Here you will find general information and advice on studying abroad. The University of Tuebingen collaborates closely with the Max Planck Institute for Intelligent Systems and the Max Planck Institute for Biological Cybernetics … Our innovative courses such as machine learning, medical technology, molecular medicine, geoecology, nano-science, media informatics, sports management and Islamic theology. His research interests are in machine learning, statistics and optimization and the application of machine learning to problems in bioinformatics, computer vision and other fields in computer science and the natural sciences. 11, 72074 Tübingen zsbspam prevention@uni-tuebingen.de   +49 7071 29-72555, E-Mail: studyspam prevention@uni-tuebingen.de    Phone: +49 7071 29-76833, Application and admission of international students, All contact persons, responsibilities and opening hours, FAQ / Frequently asked questions of international applicants, If you have questions concerning your application or your admission, please contact  Prof. Dr. Matthias Hein +49-(0)7071-29-70831 E-Mail, If you have any questions concerning the process or organisation of your studies, please contact the students' advisory service: studienberatungspam prevention@informatik.uni-tuebingen.de. Wilhelmstr. uni-tuebingen… Liebherr-Elektronik GmbH and the University of Tübingen are researching efficient machine learning … positions . The course consists of four major study areas: Foundations of Machine Learning, Diverse Topics in Machine Learning General Computer Science and Expanded Perspectives. His research interests are in machine learning, statistics and optimization and the application of machine learning … Excellent research and teaching are Tübingen’s answer to the challenges of the future in a globalized world. University of Tübingen. University of Tübingen > Computer Science > Groups > Theory of Machine Learning. Lifelong learning; Quicklinks All Degree Programs; ALMA Portal; Excellence Initiative; Staff Search (EPV) Student Administration; University Library; Online Course Catalogue; Webmail Uni Tübingen; Advice for International Students; Cluster of Excellence – Machine Learning for Science Cluster of Excellence – Machine Learning for Science. Examination and grades: Diploma students can request an examination on this course in a usual manner and in any reasonable combination with another course. Admission to the international Master’s program in Machine Learning is not admission-restricted, but all students, including those holding a Bachelor’s degree in Computer Science, are requested to submit a formal application. Thus, ethical discussion on the responsible usage of data is of growing importance. A Bachelor's degree (or equivalent) in either computer science, mathematics, physics or related natural sciences with a grade of at least 2.3 (German grading system). San Diego, California Research Scholar in the Systems Biology Research Group at UCSD Research Education Eberhard-Karls-Universität Tübingen / University of Tuebingen 2006 — 2011 Dr. rer. University of Tübingen Multiple locations . The Study Program Machine Learning ️ at University of Tübingen All info for international students (undefined/undefined) Important: Covid-19 update for international students StudyFinder A subreddit dedicated to learning machine learning. Machine learning algorithms are never perfect - yet some of them can be proven to survive some basic suitability tests, while others do not. Since 1.5.2018 he is Bosch endowed Professor of Machine Learning at the University of Tuebingen. Software engineering in robotics. The next intake will be for the winter semester 2021/2022 with application deadline on 30.4.2021. Head of Examination Board and Course Director, © 2020 Eberhard Karls Universität Tübingen, Tübingen, Preparatory Course Informatics for Life Scientists, Course List for the Wintersemester 2020/2021, Max Planck Institute for Intelligent Systems, Max Planck Institute for Biological Cybernetics, Excellence Cluster ``Machine Learning: New Perspectives for Science'', International Max Planck Research School for Intelligent Systems, German Conference on Pattern Recognition (28.9.-1.10.2020), Zeynep Akata and Andreas Geiger were awarded ERC Starting Grants. None, Regular duration of studies Which topics are dealt with in the program? conscious reasoning. The course requires a basic knowledge of machine learning methods and the underlying mathematical and statistical instruments. 1-2 PhD Positions (m/f/d; E 13 TV-L, 65% - 36 Months) to be filled ideally in early 2021. Germany. people. For further information see the website Faculty of Science - Doctoral Studies. Project work and the Master’s thesis will offer students the opportunity to develop code for research purposes and their own scientific projects. E-mail: ulrike.luxburg (at)uni … Tübingen, Germany. Since 1.5.2018 he is Bosch endowed Professor of Machine Learning at the University of Tuebingen. To pick up on scientific trends and make the best use of the current state of research, the curriculum relies heavily on the strong research presence on site, in machine learning as well as the wider field of computer science: top-level researchers in all major methodological branches of machine learning are present in Tübingen – personnel that will actively engage in teaching for the Master’s Program Machine Learning. Overview of application deadlines, Program start Optional time abroad You may choose to spend some time abroad as part of any study program. The genius loci - the spirit of the place - is now stronger than ever. After completing her PhD at the INRIA Rhone Alpes with Prof Cordelia Schmid (2014), she worked as a post-doctoral researcher at the Max Planck Institute for Informatics with Prof Bernt Schiele (2014-17) and at University of California Berkeley with Prof Trevor Darrell (2016-17). Data Ethics The increasing use of data and data driven applications affects our daily lives, for example, in decision-making processes. Zeynep Akata is a professor of Computer Science within the Cluster of Excellence Machine Learning at the University of Tübingen. Science, Restricted admission Welcome to our International Master's Program in Machine Learning! In the winter term 2020/21 about 2090 students study at the Department of Computer Science: You can find a formal description of the degree here. Datum: Thema: Betreuung: Referent(in) 19.04.2005: Classification of Machine Learning Methods: Alexander Sung-26.04.2005 Examination and grades: Diploma students can request an examination on this course … This playlist collects the lectures on Probabilistic Machine Learning by Philipp Hennig at the University of Tübingen during the Summer Term of 2020. In the first semester, Mathematics for Machine Learning, Deep Learning and Data Literacy … Accordingly, Dr. Konstantin Genin, leader of the "Ethics and Epistemology" research group in the Cluster of Excellence: "Machine Learning - New Perspectives for Science" at the University of Tübingen, advertises. Innovative, interdisciplinary, international: These three words summarize what makes the University of Tübingen special. Before moving to Tübingen in October 2019, she was an assistant professor at the University of Amster… English, Costs Statistical Machine Learning (Summer term 2020) Quick links (publically available): youtube channel for the videos Slides Course material Slides: Latest version, updated 2020-08-19: pdf Videos: The videos … The student association is involved in many organizational issues. Machine Learning The area of Machine Learning introduces key concepts of the field. It provides an introduction to core concepts of machine learning from the probabilistic perspective (the lecture titles below give a rough overview of the contents). GW] on different European master's programs related to artificial intelligence and machine learning. If you have questions on the program or the admission requirements, please first check the webpages above and only if your question is not answered there, then contact: If you have any questions concerning the application portal or organisation of your studies, please contact the students' advisory service. Coronavirus research at the University of Tübingen, Corona virus: Information for researchers, Studiengänge in Kooperation mit anderen Universitäten, Master’s studies at the University of Tübingen, Schlüsselqualifikationen: Das Studium Professionale, Doctoral studies at the University of Tübingen, Progressing successfully through your studies, Transregional Collaborative Research Centers (CRC-TRRs), Funding and support for junior researchers, I – Development, Structure and Legal Affairs, Division VIII – Construction, Safety, and Environment, Center for Interdisciplinary and Intercultural Studies, Dr. Eberle Zentrum für digitale Kompetenzen, European Research Center on Contemporary Taiwan, Informations-, Kommunikations- und Medienzentrum (IKM), International Center for Ethics in the Sciences and Humanities, Zentrum für Evaluation und Qualitätsmanagement, Center for Gender and Diversity Research (ZGD), Ansprechpersonen für Fragen im Zusammenhang mit sexueller Belästigung, Programs and modules for international students, Getting started and orientation for international students, Corona virus: Information for students from abroad (incomings), After your studies for international students, Advice and counseling for international students, Coronavirus: Informationen für Tübinger Studierende im Ausland (Outgoings), Max Planck Institute for Intelligent Systems, Max Planck Institute for Biological Cybernetics, Excellence Cluster `Machine Learning: New Perspectives for Science', International Max Planck Research School for Intelligent Systems, general information and advice on studying abroad, University of Tübingen’s international profile, Contact: University office for the Advising and Admission of International Students, Information on application for international students, Addresses and contact points for international students at the University of Tübingen, Study and conduct research in Germany (DAAD information), Search for persons at the University (EPV), Mathematics: one- and multidimensional analysis, linear algebra and either numerics or stochastic. code. Research group on theory of machine learning. In the first semester Mathematics for Machine Learning, and Data Literacy are recommended modules, followed by Statistical Learning, Probabilistic Inference and Learning and Deep Learning in the next semester. [8] T. Mitchell, Machine Learning, McGraw Hill, 1997 [9] A. Ng, M. Jordan, Y. Weiss, On Spectral Clustering: Analysis and an algorithm, NIPS 14, 2001 [10] L. Rabiner, A Tutorial on Hidden Markov … Liebherr-Elektronik GmbH funds research project at the University of Tübingen. Our International Master's program in Machine Learning has opened its doors in the winter term 2019/2020. Theory of Machine Learning ... How to find us; Teaching Winter term 2020/21. Home. We welcome Zeynep Akata as new professor of computer science! Summer 2015: Statistical Learning Theory, course for the machine learning summer school, Tuebingen, Germany. Machine learning (ML) algorithms play an important role in data analysis and modeling both in science and industry. Many great intellectuals have studied and worked in Tübingen - including Kepler, Hegel, Hölderlin, and Schelling. Sleep helps us to retain the information that we have learned during the day. To help you decide whether Tübingen is right for you, here are some contact points and information on studying in Germany: Due to very fast technological developments in handling large amounts of data and apply findings in a wide variety of applications, there is an ever growing need for specialists in machine learning. Johannes Eichner, Lars Rosenbaum: Sprechstunde. Videos, Assignments and Solutions. The department collaborates with major enterprises and research institutes both nationally and internationally. Back; Open Positions; People. by SoP | May 25, 2017 | News | 0 comments. On what criteria are applicants selected? This includes a critical discussion of research goals, contents, proposals, and research problems, and requires a high scientific level. In particular, competences from the following areas are required, equivalent in content and scope to those in the BSc course in Computer Science in Tübingen: Applicants must also provide adequate proof of English proficiency. Developing a machine-learning algorithm for mushroom orientation estimation. I am also a fellow at the Max Planck Institute for Intelligent Systems. Machine Learning The area of Machine Learning introduces key concepts of the field. All lectures of the course "Statistical Machine Learning" by Ulrike von Luxburg, University of Tübingen, Summer Term 2020. At least one practical course and one seminar are recommended for the second or third semester. What is special about the Tübingen program? Assignments (only accessible for … This manifests in several recent initiatives: These initatives provide plenty of opportunities for research as well as industry contacts for the students of our master program. 2 SWS bzw. Since machine-learning algorithms are tremendously useful in many engineering areas, such as complex oil and gas processes, Dr. Akhil Datta-Gupta is leading Texas A&M University's participation in a multi-university … Research Group Theory of Machine Learning University of Tübingen > Computer Science > Groups > Theory of Machine Learning Education in problem solving capabilities is a central training objective. Press question mark to learn the rest of the keyboard shortcuts ... Tutorial. about. The course requires a basic knowledge of machine learning methods and the underlying mathematical and statistical instruments. Please use the subject line “Cambridge-Tuebingen PhD fellowship” in your email to camtue@is.mpg.de. 4 LP. Students have the opportunity to advance their knowledge and skills to a level which will allow them to get involved in top national and international research in bioinformatics and its application to the life sciences. Computer science in Tübingen is one of the leading CS departments in Germany in terms of research, and it is internationally renowned. ... University … 08.07.2020. University of Tübingen, Cluster of Excellence "Machine Learning" Maria-von-Linden-Str. I just wrote this piece which proposes an introduction to 3 challenges facing current machine learning: out-of-distribution generalization. University Tuebingen, Machine Learning Group, Department of Computer Science, Max Planck Ring 4, 72076 Tuebingen, Germany The University of Tuebingen collaborates closely with the Max Planck Institute for Intelligent Systems and the Max Planck Institute for Biological Cybernetics and they form together one of leading research hubs for machine learning in Europe and world-wide. and MSc. Department of Computer Science Sand 14 72076 Tübingen  +49 7071 29 76361  +49 7071 29 5719, Studying at the Department of Computer Science, Geschwister-Scholl-Platz 72074 Tübingen Germany, © 2020 Eberhard Karls Universität Tübingen, Tübingen. The University of Tuebingen collaborates closely with the Max Planck Institute for Intelligent Systems and the Max Planck Institute for Biological Cybernetics … The pipeline can either use a first dataset for training the model and a second for validation, or perform a nested k-fold cross-validation on a single dataset. Winter term 2014/15: Algorithms and Data Structures (Bachelor CS, 3+1 SWS) Summer term 2014: Machine learning (Master CS and Maths, 4 + 2 SWS). 6 72076 Tübingen Germany Room: 30-5/A10 Phone: +49 (0)7071 29-70847 E-mail: debarghya.ghoshdastidar(at)uni-tuebingen.de ghoshdas(at)informatik.uni-tuebingen.de University of Tübingen Department of Computer Science Maria von Linden Str. Less prominently discussed, developments in machine learning have the potential to transform science at an equally fundamental level. In addition, some departments have their own subject-specific services providing information on studying abroad. Human-Computer Interaction. Please arrange for a cv, a motivation letter, BSc. During his Ph.D., he spent three months as a visiting researcher at TU-Graz in Austria. University of Tübingen Proseminar: Machine Learning. Go here to check if you are eligible and know more about the application details. The master thesis is recommended for the fourth semester. Department of Computer Science. The University of Tuebingen collaborates closely with the Max Planck Institute for Intelligent Systems and the Max Planck Institute for Biological Cybernetics and they form together one of leading research hubs for machine learning … Depending on the course selection, the master program qualifies for doctoral studies in Computer Science. Phone: +49 (0)7071 29-70832. Since the field is obviously very young and currently developing extremely rapidly, training will naturally be based on the most recent insights and the most pressing research questions of these teaching researchers. ICML 2019 Best Paper Award for Researchers from Tübingen, Search for persons at the University (EPV), Winter semester (no intake in the summer semester), Help to protect the European Research Council (ERC) from budget cuts which threaten the most prestigious and effective European research program by signing this, Mila Gorecki, student in the master program Machine Learning, won the, 23 papers at ICML and CVPR 2020 from Tübingen (11 ICML, 12 CVPR), Information about Tuebingen (housing, language classes etc) for International Students can be found, Congratulations to Bernhard Schölkopf for the, 24 papers from Tübingen accepted at NeurIPS 2019. 4 semester, Is a combination subject required? Erasmus-Programme (e.g. Applicants must provide adequate proof of English proficiency, documented by one of the following documents: The Machine Learning program cannot be complemented with a minor subject. Excellent research and teaching are Tübingen’s answer to …

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