January 30-31, 2017
EPFL, Switzerland

Applied Machine Learning Days

Two days of talks and tutorials on Machine Learning and Artificial Intelligence.

Image credit: https://flic.kr/p/9QGUEm

Program

Monday 30-01-2017

07:00

Registration & Welcome Coffee

08:00

Welcome notes

Zhenyu Xu, Sophia Genetics: "Standardising NGS-based clinical routine diagnostics"

Pete Warden, Google: "TensorFlow for Poets"

Pete Warden     
09:30

Coffee Break

10:00

Claudiu Musat, Swisscom: "Natural Language Processing in the Enterprise"

Nadejda Lupolova, University Edinburgh: "Machine learning applied to microbial genomics: from prediction of infection potential to targeted treatment of bacterial disease"

Bob West, EPFL: "Growing Wikipedia Across Languages via Recommendation"

Claudiu Musat     
Bob West     
11:30

Lunch Break

12:30

Jürgen Schmidhuber, IDSIA: "True Artificial Intelligence will Change Everything"

Pierre Vandergheynst, EPFL: "Signal Processing in the Age of Data"

Marloes Maathuis, ETH: "Estimating causal effects from observational data"

Marloes Maathuis     
14:00

Coffee Break

14:30

CrowdAI winner's symposium:
Marcel Salathé, EPFL: "What is CrowdAI?"
André Panisson: "Lessons Learned from the PlantVillage Disease Classification Challenge"
Sasank Chilamkurthy: "Leaf disease classification using resnet"
Nguyen Minh Hieu: "Transfer Learning for Classification of Nighttime Images"
Preetham Sreenivas: "Classification of night time images with resnet"

Armand Joulin, Facebook: "Large scale machine learning for text understanding and computer vision"

Armand Joulin     
CrowdAI Winner's Symposium   
16:00

Poster Session

18:00

Networking Event & Dinner @ Casino de Montbenon, Lausanne (map )

Tuesday 31-01-2017

07:30

Coffee

08:00

Nuria Oliver, Vodafone & Data-Pop Alliance: "Towards Human Behavior Modeling from Mobile Data"

Emmanuel Mogenet, Google Research Europe: "Computer Perception, Natural Language & Deep Learning: bringing it all together to solve Common Sense"

Emmanuel Mogenet   
Nuria Oliver   
09:30

Coffee Break

10:00

Martin Jaggi, EPFL: "Distributed Machine Learning and Text Classification"

Panel on AI & Society with:
Ed Bugnion, VP EPFL
Emmanuel Mogenet, Google
Nuria Oliver, Vodafone & Data-Pop Alliance
Marcel Salathé, EPFL

Martin Jaggi     
Panel on AI & Society   
11:30

Lunch Break

12:30

Anima Anandkumar, Amazon: "Distributed Deep Learning on AWS using MXNet"

Rapid-fire talks

Anima Anandkumar     
Rapid Fire Talks   
12:30

Job Fair
ADA Poster Session

14:00

Coffee Break

14:30

Volkan Cevher, EPFL, "Learning-based compression for neural signals (and MRI too!)"

Boi Faltings, EPFL, "Big data vs. the right data"

Francois Fleuret, IDIAP, "Semi-supervised learning of deep metrics for stereo reconstruction"

François Fleuret     
Volkan Cevher     
Boi Faltings     


Speakers

Marloes Maathuis

Marloes Maathuis

Professor, ETH Zürich

Pete Warden

Pete Warden

Technical Lead of Mobile TensorFlow Google

Martin Jaggi

Martin Jaggi

Assistant Professor, EPFL

Boi Faltings

Boi Faltings

Professor, EPFL

Pierre Vandergheynst

Pierre Vandergheynst

Professor, VP Education, EPFL

Nadejda Lupolova

Nadejda Lupolova

The University of Edinburgh

François Fleuret

François Fleuret

Idiap Research Institute

Emmanuel Mogenet

Emmanuel Mogenet

Head Google Research Europe Google

Claudiu Musat

Claudiu Musat

Senior Data Scientist Swisscom

Jürgen Schmidhuber

Jürgen Schmidhuber

Scientific Director of IDSIA & Professor of AI, Università della Svizzera italiana

Anima Anandkumar

Anima Anandkumar

Principal Scientist, Amazon Web Services

Edouard Bugnion

Edouard Bugnion

Professor, VP Information Systems, EPFL

Zhenyu Xu

Zhenyu Xu

CTO Sophia Genetics

Armand  Joulin

Armand Joulin

Research scientist, Facebook Artificial Intelligence Research

Nuria Oliver

Nuria Oliver

Director of Research in Data Science at Vodafone Chief Data Scientist at Data-Pop Alliance

Bob West

Bob West

Assistant Professor, EPFL

Volkan Cevher

Volkan Cevher

Professor, EPFL

Venue

SwissTech Convention Center
Quartier Nord de l'EPFL
Route Louis-Favre 2
CH 1014
Ecublens, Switzerland

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