Machine Learning – AI Engineering- AI for the Good
Wednesday 24 June 2020 – 100% online!
Download the summary report
Registration is free but mandatory before the event (link to the registration). Once registered, you will receive by mail a link to the live session on the pdf ticket. For technical reason, only the first 200 registrations will have access to the online session.
Quick links to sessions:
Messages from VIPs (afternoon – 12:15-13.15)
Live plenary session (afternoon – 13.00-17.30)
Short scientific presentations (morning-12.15)
Morning free watching of short scientific presentations
- industrial partners… on how they relate to the Summer School’s topics.
- academia and research… on scientific topics.
- policy partners… on the French-German cooperation.
Full list of scientific videos from academic researchers & industrial entities:
- Mounir Atiq, Genetic algorithm for budget learning on random forests using genome reduction techniques, Tarkett & Centre Borelli, ENS Paris-Saclay.
- Stephen Becher, Establishing privacy preferences – enabling sustainable personal research data, University of Passau.
- Alejandro de la Concha, Offline detection of change-points in the mean for stationary graph signals, Centre Borelli, ENS Paris-Saclay.
- Antoine de Mathelin, Transfer Learning for Design Space Exploration. Application to industrial product design, Michelin & Centre Borelli, ENS Paris-Saclay.
- Nestor Demeure, AI augmented linear solvers: using machine learning to predict the convergence profile of a linear solver, CEA & Centre Borelli, ENS Paris-Saclay.
- Mathilde Fekom, Sequential control of network processes, Centre Borelli, ENS Paris-Saclay.
- Kanishka Gosh Dastidar, Nag: Neural Aggregate Generation Framework, University of Passau.
- Sothea Has, A clusterwise supervised learning procedure based on aggregation of distances. Applications on modeling energy data, LPSM Université de Paris.
- Pierre Humbert, Low rank activations for tensor-based convolutional sparse coding, Centre Borelli, ENS Paris-Saclay
- Dietmar Jakob, Impact of Voice User Interfaces on Elderly Residential Environment, University of Passau.
- Argyris Kalogeratos, Winning the competition: enhancing counter-contagion in behavioral epidemic processes, Centre Borelli, ENS Paris-Saclay.
- Paul Lachat, Detection and prevention of inference attacks linked to sensor data in Edge Computing Environment, INSA, France & University of Passau.
- Alfred Laugros, Evaluating Robustness of Neural Networks to Common Corruptions, Atos.
- Batiste Le Bars, Change-point detection in a time-varying Ising model, SigFox & Centre Borelli, ENS Paris-Saclay.
- Anthea Mérida, Model pre-selection method using Neural Decision Trees, Centre Borelli, ENS Paris-Saclay.
- Baptiste Metge, Emeric Dynomant, Miguel Garcia, Jonathan Grienay, Covid-19 research mining, Atos.
- Ludovic Minvielle, Step detection with convolutional models, Tarkett & Centre Borelli, ENS Paris-Saclay.
- Eric Monchalin, Reinvent our future with the magic of AI, Atos.
- Matthieu Ospici, Domain adaptation for person re-identification, Atos.
- Loic Pauletto, Searching for optimal deep neural architecture, Atos.
- Marc Platini, Root cause analysis based on deep learning for HPC predictive maintenance, Atos.
- Guillaume Richard, Unsupervised multi-source domain adaptation for regression, EDF & Centre Borelli, ENS Paris-Saclay.
- Théo Saillant, Weighting method for online estimators applied to HPC job power consumption estimation from submission data, CEA & Centre Borelli, ENS Paris-Saclay.
- Brian Tervil, A beta version of ONADAP, a visualization and decision support platform for hospital facilities in times of sanitary crisis, Centre Borelli, ENS Paris-Saclay.
- Charles Truong, Recent advances in change point detection, Centre Borelli, ENS Paris-Saclay
- Sebastian Wilhelm, Activity Monitoring reusing Home Infrastructure Data, University of Passau.
Afternoon live plenary session
12:15-13.15 Messages from VIPs
- Juha Heikkilä, Head of Unit Robotics and Artificial Intelligence, European Commission.
- Juliette Jarry, Vice-President of Région Auvergne Rhone Alpes in charge of Digitalisation.
- Lionel Grotto, Directeur Général de Choose Paris Region, Région Ile de France.
- Marco Alexander Breit, Head of Department Artificial Intelligence at the Bundesministerium für Wirtschaft und Energie.
- Dr. Michael Jaspers, Scientific Advisor of the German Embassy in Paris.
- Prof. Hervé Martin, Scientific Advisor of the French Consulate in Bavaria.
- Prof. Philippe Gréciano, Vice-President of the Deutsch-Französische Hochschule DFH-UFA.
- Prof. Pascal Auscher, Director of the National Institute of Mathematics and their Interactions, CNRS.
- Prof. Pierre-Paul Zalio, President of Ecole Normale Supérieure Paris-Saclay.
- Prof. Ulrich Bartosch, President of Universität Passau.
- Laurent Prével, Director of Ecole Nationale Supérieure d’Informatique pour l’Industrie et l’Entreprise.
- Philippe Mareine, Senior Executive Vice President, Head of Group Human Resources, CSR, Chief Digital & Transformation Officer.
- Dr. Natascha Eckert, Head of SIEMENS University Relations.
- Dr. Eric Monchalin, Vice-President, Head of Machine Intelligence at Atos.
13.00-13.15 Register & join the virtual plenary session
13.15-13.50 Official opening & group photo
- Welcome by the organizers – Prof. Mathilde Mougeot, ENS Paris Saclay & ENSIIE, Prof. Harald Kosch & Axelle Cheney, both Passau University, Dr. Ullli Waltinger & Benno Blumoser, both Siemens AI Lab.
- Official opening – Dr. Bernd Forster/ Michael HIinterdobler, Bayerische Staatskanzlei, Germany and by Hubert Tardieu, ATOS CEO Adviser, France,
13.50 – 14.50 Session 1 – Machine Learning (chaired by ENS Paris-Saclay)
- Live presentation by Dr. Francois Deheeger, Michelin Lead Data Scientist, France. Hybrid model in product design. slides.
- Live presentation by Dr. Fikri Hafid, Réseau de Transport d’Electricité Head of R&D Studies, France. Machine learning use cases at a transmission system operator. slides.
- Live presentation by Prof. Michael Granitzer, Passau University Professor for Data Science, Germany. Machine Learning Engineerging and Sustainability. slides.
- Q&A on the 3 presentations and panel discussion.
14.50-15.00 Active Break (Stretching)
15.00-16.15 Session 2 – AI for the Good (chaired by Siemens)
- Live presentation by Benno Blumoser, Siemens AI Lab Munich, Germany. AI for the Good – a Corporate View.
- Live presentation by Dr. Brian Tervil, CNRS research scientist, Borelli center, ENS Paris-Saclay, France. ONADAP – a visualization and decision support tool for dynamic human and material ressources allocation within hospital facilities in times of sanitary crisis. slides.
- Live presentation by Valentin KRUSPEL, Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ),Germany. Data Powered Positive Deviance and Beyond – Using AI for Sustainable International Development.
- Live presentation by Julia Gottfriedsen, German Aero-Space Center (DLR) Environmental Data Science Researcher, Germany. Using Data Analytics and Machine Learning to Control Wildfire.
- Q&A on the 4 presentations and panel discussion.
16.15-16.20 Passive Break (get yourself a coffee before the final part)
16.20 – 17.20 Session 3 – AI Engineering (chaired by Passau University)
- Live presentation by Prof. Gianluca Bontempi, Université Libre de Bruxelles Professor and Co-Head at Machine Learning Group, Belgium. Causality and big data analytics: risks, challenges and solutions. slides and documents.
- Live presentation by Matthias Laporte, Inspector at Banque de France, France. Self organizing maps for anomaly detection in an operational context. slides.
- Live presentation by Tobias Bürger, BMW Lead Big Data and AI Platform, Germany. Machine Learning and AI in Practice – Insights into use cases from the BMW Group.
- Q&A on the 3 presentations and panel discussion.
17.20 – 17.30 Wrap-up and Closing
ENS Paris-Saclay, France, Prof. M. Mougeot (& ENSIIE) , Dr. A. Kalogeratos, Dr. C. Truong,
University of Passau, Germany: A. Cheney, Prof. H. Kosch,
Siemens AI Lab, Germany: Dr. U. Walltinger, Dr. B. Blumoser.
Poster in pdf