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VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Swiss Machine Learning Day
DTSTART:20181107T090000
DTEND:20181107T170000
DTSTAMP:20260407T034510Z
UID:6f1db2761b83d20a8a1e0b71deb9a5f11a9a464bed60fddc0c633bec
CATEGORIES:Conferences - Seminars
DESCRIPTION:09:15 – Crowd-Robot Interaction: Crowd-aware Robot Navigati
 on with Attention-based Deep Reinforcement Learning (Changan Chen\, EPFL) 
 09:30 – A Physically-Consistent Bayesian Non-Parametric Mixture Model fo
 r Dynamical System Learning (Nadia Figueroa\, EPFL) 09:45 – Sample-Effic
 ient Imitation Learning via Generative Adversarial Nets (Lionel Blonde\, U
 NIGE) 10:00 – Sparsified SGD with Memory (Jean-Baptiste Cordonnier\, EPF
 L) 10:15 – Local Rotation Invariance and Directional Sensitivity of 3D T
 exture Operators: Comparing Classical Radiomics\, CNNs and Spherical Harmo
 nics (Vincent Andrearczyk\, HES/SO) 10:30 – Coffee break & Posters 11:15
  – Not All Samples Are Created Equal: Deep Learning with Importance Samp
 ling (Angelos Katharopoulos\, IDIAP) 11:30 – Evading classifiers in disc
 rete domains with provable optimality guarantees (Bogdan Kulynych\, EPFL) 
 11:45 – Regression Concept Vectors and Bidirectional Explanations of Dee
 p Learning predictions (Mara Graziani\, HES/SO) 12:00 – Beyond Optimism:
  Information Directed Exploration in Bandits (Johannes Kirschner\, ETHZ) 1
 2:15 – CNN-based face presentation attack detection using patches of fac
 es (Amir Mohammadi\, IDIAP) 12:30 – Lunch 13:45 – Semi-blind spatially
 -variant deconvolution and focus estimation in optical microscopy by use o
 f convolutional neural networks (Adrian Shajkofci\, IDIAP) 14:00 – Effic
 ient spherical Convolutional Neural Network with HEALPix sampling for cosm
 ology (Nathanaël Perraudin\, ETHZ) 14:15 – Weakly and unsupervised dise
 ntangling factors of variation (Attila Szabó\, UNIBE) 14:30 – A few pix
 els can make a big difference (Apostolos Modas\, EPFL) 14:45 – Deep Self
 -Organization: Interpretable Discrete Representation Learning on Time Seri
 es (Vincent Fortuin\, ETHZ) 15:00 – Coffee break & Posters 15:45 – Aut
 onomous Drone Racing (Elia Kaufmann\, UZH) 16:00 – Privacy-Preserving Cl
 assification with Secret Vector Machines (Valentin Hartmann\, EPFL) 16:15 
 – Patient-Attentive Sequential Strategy: A Reinforcement Learning-based 
 Perimetry Test (Serife Kucur\, UNIBE) 16:30 – Trace and Detect Adversari
 al Attacks on CNNs using Feature Response Maps. (Amirian Mohammadreza\, ZH
 AW) 16:45 – Variational Methods to find all solutions of an Optimal Cont
 rol problem (Thibaut Kulak\, IDIAP)\nThe Swiss Machine Learning Day is a o
 ne-day workshop organized every year since 2012\, which aims at bringing t
 ogether Swiss researchers working on topics related to machine learning
LOCATION:Swisstech Convention Center
STATUS:CONFIRMED
END:VEVENT
END:VCALENDAR