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X-WR-CALNAME:NCCR PlanetS
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X-WR-CALDESC:Events for NCCR PlanetS
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DTSTART:20190331T010000
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DTSTART:20191027T010000
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DTSTART;VALUE=DATE:20190213
DTEND;VALUE=DATE:20190216
DTSTAMP:20260419T225915
CREATED:20180926T110956Z
LAST-MODIFIED:20190326T145857Z
UID:29650-1550016000-1550275199@nccr-planets.ch
SUMMARY:Workshop on Machine Learning
DESCRIPTION: \nMachine Learning methods have been around for many years now and their use is growing within the astronomical community. This 3 days workshop will focus on the practical use of supervised and unsupervised Machine Learning techniques on astronomical data\, with short theoretical introductions followed by extensive hands-on sessions. The aim of the workshop is to provide astronomers with practical skills they could directly use in their research. The participation requires no prior knowledge of Machine Learning\, only some basic knowledge of python. \nSubjects\n\nSupervised: Deep Learning for transit detection\nSupervised: from linear regression\, through Boosting to AutoML and SVM\nUnsupervised: Dimensionality Reduction from PCA to T-SNE\n\nSpeakers\nProf Paolo Favaro\, Bern University\, Switzerland \nPaolo Favaro received the Laurea degree (B.Sc.+M.Sc.) from Università di Padova\, Italy in 1999\, and the M.Sc. and Ph.D. degree in electrical engineering from Washington University in St. Louis in 2003 and 2004 respectively. He was a postdoctoral researcher in the computer science department of the University of California\, Los Angeles and subsequently in Cambridge University\, UK. Between 2004 and 2006 he worked on medical imaging at Siemens Corporate Research\, Princeton\, USA. From 2006 to 2011 he was Lecturer and then Reader at Heriot-Watt University and Honorary Fellow at the University of Edinburgh\, UK. In 2012 he became full professor at Universität Bern\, Switzerland. His research interests are in machine learning\, computer vision\, computational photography\, signal and image processing\, estimation theory\, inverse problems and variational techniques. \nProf Stéphane Canu\, LITIS\, INSA\, Rouen\, France \nStéphane Canu is a Professor of the LITIS research laboratory and of the information technology department\, at the National institute of applied science in Rouen (INSA). He has been the dean of the computer engineering department he created in 1998 until 2002 when he was named director of the computing service and facilities unit. In 2004 he join for one sabbatical year the machine learning group at ANU/NICTA (Canberra) with Alex Smola and Bob Williamson.  In the last five years\, he has published approximately thirty papers in refereed  conference proceedings or journals in the areas of theory\, algorithms and applications  using kernel machines learning algorithm and other flexible regression methods.  His research interests includes deep learning\, kernels machines\, regularisation\, machine learning applied to signal processing\, pattern classification\, factorisation for recommander systems and learning for context aware applications. \nDr Marcin Pietrzyk\, Founder & CEO – Unit8 \nMarcin Pietrzyk is the founder and CEO of Unit8 \, the company bringing world-class experts with a proven track record in AI and Software Engineering to solve problems for industries that will experience the most significant breakthroughs in the next 50 years. He was the visiting lecturer at  the University of St Gallen for EMBA and Certificate of Advanced Studies (CAS) in digitalisation. Before that he was the Head of Network Intelligence and then Head of Big Data & BI at Swisscom. He completed his PhD in Orange Labs\, Sophia Antipolis\, France in the domain of data mining and machine learning in the context of IP networks intelligence. \nAgenda\nWednesday\, 13/02/2019: Deep Learning by Prof. P. Favaro\n8:15 Welcome coffee \n8:30 – 10:00: Machine Learning introduction \n10:00 – 10:15: coffee break \n10:15 – 11:15: Deep Learning theory \n11:15 – 12:45: Deep Learning practise \n12:45 – 13:45: Lunch break \n13:45 – 14:45: Deep Learning theory \n14:45 – 15:00: coffee break \n15:00 – 17:00: Deep Learning practise \n18:00 – 20:00: NNN Teams building event \n \n\n\nThursday\, 14/02/2019: Supervised Learning by Prof. Stéphane Canu\n9:00 – 10:30: Using scikit-learn with Astronomical data \n10:30 – 10:45: Coffee break \n10:45 – 12:00: Linear models for regression and classification: theory and practise \n12:00 – 13:00: Boosting: theory and practise \n13:00 – 14:00: Lunch break \n14:00 – 15:15: Automated Machine Learning (AutoML): theory and practise \n15:15 – 15:30: Coffee break \n15:30 – 16:15: “Industrial applications of AI and lessons learned” by dr Marcin Pietrzyk from Unit8 \n16:15 – 18:15: SVM: theory and practise \n \nFriday\, 15/02/2019: Unsupervised Learning by Prof. Stéphane Canu\n9:00 – 10:30: Linear methods for dimensionality reduction (PCA): theory and practise \n10:30 – 10:45: Coffee break \n10:45 – 13:00: Distance preservation approaches (global methods): theory and practise \n13:00 – 14:00: Lunch break \n14:00 – 16:00: Local approaches (t-SNE\, UMAP\, …): theory and practise \nPractical information\nWhen: 3 days\, from 13th to 15th of February 2019 \nWhere: Geneva Observatory \nHow to get there by public transport: take the train to Versoix\, then bus U from Versoix-Gare to Observatoire de Geneve: timetable \nAccommodation\nA number of rooms are pre-reserved in the Lake Geneva Hotel in Versoix from 12th to 15th February. The price for the single room with breakfast is 157 CHF per night + tourist tax of 3.30 CHF per person per night. During your stay you have free access to the Geneva public transport: buses\, trams and boats. \nSubscription\nIn order to subscribe\, please fill the form. The subscription deadline is the 31st December 2018. \nDue to organisation reasons\, the workshop is limited to 30 people. The participants are accepted according to the subscription order. \nList of confirmed participants\n\nDr. Julia Venturini\, ISSI Bern\nMr. Baptiste Lavie\, Geneva University\nDr. Maxime Marmier\, Geneva University\nDr. Berry Holl\, Geneva University\nMr. Polychronis Patapis\, ETH Zurich\nDr. Caroline Dorn\, Zurich University\nDr. Jean-Baptiste Delisle\, Geneva University\nDr. Jens Hoeijmakers\, Bern University / Geneva University\nDr. Daniel Angerhausen\, Bern University\nMr. Jonas Haldemann\, Bern University\nMr. Remo Burn\, Bern University\nMr. Leonardo dos Santos\, Geneva University\nMr. Oliver Shah\, Bern University\nDr. Janis Hagelberg\, ETH Zurich\nMr. Gabriele Cugno\, ETH Zurich\nDr. Joachim Stadel\, Zurich University\nDr. Christopher Broeg\, Bern University\nDr. Tomas Stolker\, ETH Zurich\nMs. Natacha Brugger\, Bern University\nDr. Nicolas Billot\, Geneva University\nDr. Oliver Turner\, Geneva University\nMr. Marco Cilibrasi\, Zurich University\nMr. Luis Augistin Nieto\, University of Buenos Aires\nMr. Roman Allart\, Geneva University\nMs. Louise Nielsen\, Geneva University\nProf. Stephane Udry\, Geneva University\nMr. Michael Cretignier\, Geneva University\nMr. Alireza Hosseiniarani\, Bern University\nProf. Emeline Bolmont\, Geneva University\nMr. Lokesh Mishra\, Bern University\nMr. Miles Timpe\, Zurich University\n\nList of participants on the waiting list\n\nNo people on the waiting list\n\nContact\nIf you have any questions concerning the workshop\, please contact Dr. Yann Alibert or Dr. Danuta Sosnowska. \nSOC\nDr. Yann Alibert \nDr. Xavier Dumusque \nDr. Nathan Hara \nDr. Danuta Sosnowska \nLOC\nDr. Xavier Dumusque \nDr. Nathan Hara \nDr. Danuta Sosnowska \nMs. Chantal Taçoy \n \n
URL:http://nccr-planets.ch/event/workshop-machine-learning/
LOCATION:Observatoire de Geneve\, Chemin Pegasi\, 51\, 1290 Versoix\, Switzerland
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