Project work and the Master’s thesis will offer students the opportunity to develop code for research purposes and their own scientific projects. 4 semester, Is a combination subject required? The studies program deals both with generic methods and their applications to specific fields, making it highly relevant for new career and job market purposes. Science, Restricted admission Excellent research and teaching are Tübingen’s answer to … 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. ... University … Press question mark to learn the rest of the keyboard shortcuts ... Tutorial. papers. Below, you will find all the information you will need. Wilhelmstr. about. Assignments (only accessible for … I just wrote this piece which proposes an introduction to 3 challenges facing current machine learning: out-of-distribution generalization. 6 72076 Tübingen Germany Room: 30-5/A24 Phone: +49 (0)7071 29-70832 E-mail: ulrike.luxburg(at)uni-tuebingen.de. zeynep.akata at uni-tuebingen.de (+49) 07071 29 70890 Office: 40-30/A24, Maria von Linden Straße 6 Profile Publications Research Teaching Students. 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. In the first semester, Mathematics for Machine Learning, Deep Learning and Data Literacy … 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. 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. 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. The genius loci - the spirit of the place - is now stronger than ever. His research interests are in machine learning, statistics and optimization and the application of machine learning … Faculty We maintain exchanges with partners around the globe - both at institutions of higher education and at non-university research institutions. 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. The course consists of four major study areas: Foundations of Machine Learning, Diverse Topics in Machine Learning General Computer Science and Expanded Perspectives. Less prominently discussed, developments in machine learning have the potential to transform science at an equally fundamental level. 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. Uppsala, Schweden). 1-2 PhD Positions (m/f/d; E 13 TV-L, 65% - 36 Months) to be filled ideally in early 2021. 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). 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. code. As interdisciplinarity is an important aspect, the Master’s thesis can be supervised by a professor from any subfield of computer science. 11, 72074 Tübingen zsbspam firstname.lastname@example.org +49 7071 29-72555, E-Mail: studyspam email@example.com 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 firstname.lastname@example.org. Johannes Eichner, Lars Rosenbaum: Sprechstunde. Datum: Thema: Betreuung: Referent(in) 19.04.2005: Classification of Machine Learning Methods: Alexander Sung-26.04.2005 The next intake will be for the winter semester 2021/2022 with application deadline on 30.4.2021. Machine Learning, Explainable AI, Multimodal Learning, Zero-Shot Learning, Computer Vision, University of Tuebingen, Uni Tübingen, Max Planck Institute. GW] on different European master's programs related to artificial intelligence and machine learning. Machine learning is a key technology of the 21st century. No, Application deadline 1st semester Phone: +49 (0)7071 29-70832. University of Tübingen neuroscientists use machine learning algorithm to show that the brain actively reprocesses previously learned information during sleep, strengthening memory . Computer science: Programming, Algorithms and Data Structures. Brief Bio: Peter Ochs received the M.Sc. University of Tübingen. The University of Tübingen is one of the most prestigious research universities worldwide. Research group on theory of machine learning. Thus, ethical discussion on the responsible usage of data is of growing importance. 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 … Questions can be directed to email@example.com. The master thesis is recommended for the fourth semester. 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 … Application deadline for international (non-EU) citizens as well as German and EU citizens: 30 April. Teamprojekt Machine Learning in the Field of Eye Tracking ... firstname.lastname@example.org. E-mail: ulrike.luxburg (at)uni … Tuition and other fees. At least one practical course and one seminar are recommended for the second or third semester. 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). You should start planning it 12 to 18 months before your departure. 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. Maria von Linden Str. The department collaborates with major enterprises and research institutes both nationally and internationally. Applicants should have or expect to soon obtain, a PhD (or equivalent) in a relevant area. University of Tübingen Department of Computer Science Maria von Linden Str. None, Regular duration of studies Erasmus-Programme (e.g. Jobs and internships can be found in the Praxisportal. 2 SWS bzw. Close • Posted by 12 minutes ago. Back; Open Positions; People. about our group. uni-tuebingen… Many great intellectuals have studied and worked in Tübingen - including Kepler, Hegel, Hölderlin, and Schelling. The University of Tuebingen collaborates closely with the Max Planck Institute for Intelligent Systems and the Max Planck Institute for Biological Cybernetics … It is mostly inspired by Yoshua Bengio's talk at NeurIPS 2019 with some personal inputs. Before moving to Tübingen in October 2019, she was an assistant professor at the University of Amster… Optional time abroad You may choose to spend some time abroad as part of any study program. Developing a machine-learning algorithm for mushroom orientation estimation. Education in problem solving capabilities is a central training objective. Our International Master's program in Machine Learning has opened its doors in the winter term 2019/2020. Examination and grades: Diploma students can request an examination on this course in a usual manner and in any reasonable combination with another course. Machine learning is a key technology of the 21st century. Examination and grades: Diploma students can request an examination on this course … 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. Research group on theory of machine learning. Back; Open Positions; People. Research. Department of Computer Science. Overview of application deadlines, Program start University Tuebingen, Machine Learning Group, Department of Computer Science, Max Planck Ring 4, 72076 Tuebingen, Germany wird in der Vorbesprechung festgelegt. Sleep helps us to retain the information that we have learned during the day. Since 1.5.2018 he is Bosch endowed Professor of Machine Learning at the University of Tuebingen. University of Tübingen Department of Computer Science Maria von Linden Str. 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). University of Tübingen Proseminar: Machine Learning. … Machine Learning The area of Machine Learning introduces key concepts of the field. 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 Lecture Mathematics for Machine Learning (MSc, 4+2 SWS) Research seminar "Machine Learning Theory" (runs constantly) Future In Summer 2021, I will teach the Bachelor course on Theoretical Computer Science (BSc, 4+2 SWS). The Study Program Machine Learning ️ at University of Tübingen All info for international students (undefined/undefined) Important: Covid-19 update for international students StudyFinder Home. Our research group at Max Planck Institute Tuebingen for Intelligent Systems and Cyber Valley focuses on developing practical algorithms for privacy preserving machine learning. Research group on theory of machine learning. Back; Team. Innovative, interdisciplinary, international: These three words summarize what makes the University of Tübingen special. Beschreibung: Maschinelle Lernverfahren spielen in eine wichtige Rolle bei der Datenanalysen und Modellierung sowohl in der Industrie als auch in der Forschung. The University of Tübingen explains the chances of the new technology and why it is so … nach Vereinbarung. The student association is involved in many organizational issues. Zeit. Computer science in Tübingen is one of the leading CS departments in Germany in terms of research, and it is internationally renowned. I am also a fellow at the Max Planck Institute for Intelligent Systems. The purpose of this post is to give an overview of the 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. Machine learning is at the heart of a technological and societal revolution, although today’s learning systems do not generalize well to new situations, cannot learn … This includes a critical discussion of research goals, contents, proposals, and research problems, and requires a high scientific level. 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. The University of Tübingen explains the chances of the new technology and why it is so important that there is independent and … Tübingen, Germany. During his Ph.D., he spent three months as a visiting researcher at TU-Graz in Austria. Show more Show less. Home. 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 term 2014/15: Algorithms and Data Structures (Bachelor CS, 3+1 SWS) Summer term 2014: Machine learning (Master CS and Maths, 4 + 2 SWS). 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. Develop an algorithm to automate the picking plan for mushroom clusters. Press J to jump to the feed. Our International Master's program in Machine Learning has opened its doors in the winter term 2019/2020. I am a professor for computer science, with research focus on the theory of machine learning. Zeynep Akata Professor. The amount of work covered by this course constitute 2 SWS for lectures and 1 SWS for graded exercises. conscious reasoning. Information about the Alumni of Tübingen. The University aims to increase the proportion of women in research and teaching and therefore urges suitably qualified women scientists to apply. University of Tübingen Innovative, interdisciplinary, international: These three words summarize what makes the University of Tübingen special. 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. 6. The students who takes this course in Tübingen … Data Ethics The increasing use of data and data driven applications affects our daily lives, for example, in decision-making processes. Machine learning (ML) algorithms play an important role in data analysis and modeling both in science and industry. @ Max Planck Institute for Intelligent Systems and University of Tuebingen . degree in mathematics from the Saarland University in Germany in 2010, and the Ph.D. degree in mathematics from the University of Freiburg in 2015. Data Ethics The increasing use of data and data driven applications affects our daily lives, for example, in decision … Tübingen AI Center aims to build learning systems that approach the versatility and robustness exhibited by natural intelligent systems. Research Group Theory of Machine Learning University of Tübingen > Computer Science > Groups > Theory of Machine Learning Human-Computer Interaction. The programme consists of four major study areas: Foundations of Machine Learning, Diverse Topics in Machine Learning, General Computer Science, and Expanded Perspectives. by SoP | May 25, 2017 | News | 0 comments. University of Tübingen > Computer Science > Groups > Theory of Machine Learning. Welcome to our International Master's Program in Machine Learning! None comments Contents General Overview Research Directions in Tübingen Options outside of University Some personal notes Decision Guide None No comments. Since 1.5.2018 he is Bosch endowed Professor of Machine Learning at the University of Tuebingen. Research Group Theory of Machine Learning University of Tübingen > Computer Science > Groups > Theory of Machine Learning Theory of Machine Learning ... How to find us; Teaching Winter term 2020/21. English, Costs Dozent. 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. All lectures of the course "Statistical Machine Learning" by Ulrike von Luxburg, University of Tübingen, Summer Term 2020. 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.
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