BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Swiss Machine Learning Day
DTSTART:20171128T090000
DTEND:20171128T171000
DTSTAMP:20260406T202152Z
UID:1cf16de8a57a83aba8553ff79ee0332d865b524859486f162bce3c33
CATEGORIES:Conferences - Seminars
DESCRIPTION:A wide range of experts in the field from EPFL\, IDIAP\, ETHZ\
 , UniZurich\, UniBern\, UniGe\nProgram\n09:00 – 09:25\nDirect Sparse Con
 volutional Neural Networks with Attention (Hackel Timo\, ETHZ)\n09:25 – 
 09:50\nHow close are the eigenvectors of the sample and actual covariance 
 matrices (Andreas Loukas\, EPFL)\n09:50 – 10:15\nChange point detection 
 for high-dimensional linear regression and its applications for covariance
  matrices (Kovacs Solt\, ETHZ)\n10:15 – 10:40\nAn Investigation of Deep 
 Neural Network for Multilingual Speech Recognition Training and Adaptation
  (Sibo Tong\, IDIAP)\n10:40 – 10:55\nBreak\n10:55 – 11:20\nComposite m
 inimization using global geometry and approximate subproblems (Sai Praneet
 h Reddy Karimireddy\, EPFL)\n11:20 – 11:45\nMeasuring Neural Network Inv
 ariance Against Geometric Transformations (Can Kanbak\, EPFL)\n11:45 – 1
 2:10\nK-Medoids for K-Means Seeding (James Newling\, IDIAP)\n12:10 – 12:
 35\nSmooth Primal-Dual Coordinate Descent Algorithms for Nonsmooth Convex 
 Optimization (Alacaoglu Ahmet\, EPFL)\n12:35 – 13:35\nLunch\n13:35 – 1
 4:00\nQuality monitoring in laser welding using multi-kernel Laplacian gra
 ph support vector machine (Sergey Shevchik\, EMPA)\n14:00 – 14:25\nLearn
 ing to Run - Deep Reinforcement Learning with Musculoskeletal Models (Shar
 ada Prasanna Mohanty\, EPFL)\n14:25 – 14:50\nDroNet: Learning to Fly by 
 Driving (Antonio Loquercio\, UZH)\n14:50 – 15:15\nLearning Multi-Modal P
 roblems in Computer Vision (Pierre Baqué\, EPFL)\n15:15 – 15:30\nBreak\
 n15:30 – 15:55\nLifelong Generative Modeling (Jason Ramapuram\, UNIGE)\n
 15:55 – 16:20\nRepresentation Learning by Learning to Count (Mehdi Noroo
 zi\, UNIBE)\n16:20 – 16:45\nImproving learning in robotics by exploiting
  the structure and geometry of the data: application to prosthetic hands (
 Noémie Jaquier\, IDIAP)\n16:45 – 17:10\nA Deep Learning Approach to Ult
 rasound Image Recovery (Dimitris Perdios\, EPFL)\n 
LOCATION:BC 420 https://plan.epfl.ch/?room==BC%20420
STATUS:CONFIRMED
END:VEVENT
END:VCALENDAR