A Conceptual Introduction to Reinforcement Learning

With Kevin Smeyers, Katrien Van Meulder & Bram Vandendriessche

09:00-12:30 January 251ABC

Applied ML with R

With Dirk Wulff, Markus Steiner & Michael Schulte-Mecklenbeck

09:00-17:00 January 25Foyer 6

Augmenting the Web browsing experience using machine learning

With Oleksandr Paraska, Vasily Kuznetsov, Tudor Avram & Levan Tsinadze

09:00-12:30 January 253A

Feature Engineering for Spatial Data Analysis

With Caio Miyashiro, Selim Onat & Eva Jaumann

09:00-17:00 January 25Foyer 1

Fraud detection with unsupervised ML

With Ernst Oldenhof

09:00-12:30 January 254ABC

Interpretability in deep learning for computational biology

With Maria Rodriguez Martinez, An-phi Nguyen & Matteo Manica

09:00-12:30 January 255A

Introduction to Information Visualization

With Tobias Mérinat & Halldor Janetzko

09:00-17:00 January 25Foyer Cloud

NLPeasy – Harnessing the Power of Unstructured Data

With Philipp Thomann

09:00-12:30 January 253BC

Spiking neural networks for real-time inference tasks

With Dylan Muir, Felix Bauer & Sadique Sheik

09:00-17:00 January 255BC

TensorFlow 2 Basics – Saturday

With Andreas Steiner, Ruslan Habalov & Megan Ruthven

09:00-17:00 January 252ABC

Adding Interpretability in Deep Learning models

With Delger Enkhbayar, Sunil Mallya & Segolene Dessertine-Panhard

13:30-17:00 January 251ABC

Human mobility analysis and simulation with Python

With Luca Pappalardo, Filippo Simini, Roberto Pellungrini & Gianni Barlacchi

13:30-17:00 January 253BC

Ideas for your first AI project

With Kristina Jonkuviene & Ieva Vaišnoraitė-Navikienė

13:30-17:00 January 253A

Meet your Artificial Self: Generate text that sounds like you

With Martin Müller, Manuel Schneider & Florian Laurent

13:30-17:00 January 255A

PyTorch Tutorial

With Evann Courdier, Thjis Vogels & Emmanouil Angelis

13:30-17:00 January 254ABC

Climbing the Ladder: Reinforcement Learning in a Competitive Setting

With Frederic Ouwehand, Florian Laurent & Christian Scheller

09:00-17:00 January 263BC

Deep Learning for Computer Vision

With Usman Amjad, Humera Tariq, Humera Azam & Shaista Rais

09:00-17:00 January 265BC

Dirty GANcing

With Axel Uran, Pelayo Choya, Guillaume Mollard, Thibault Calvayrac, Gaétan Ramet & Gianluca Mancini

09:00-12:30 January 26Foyer 6

Generative Modeling for Computer Vision

With Anzor Gozalishvili & Sandro Barnabishvili

09:00-12:30 January 263A

Hands-on Bayesian Machine Learning: embracing uncertainty

With Elizaveta Semenova & Tatiana Matejovicova

09:00-12:30 January 264ABC

Introduction to MLflow: managing the ML lifecycle from experimentation to deployment

With Sebastian Herold, Annie Yim & Lennart Piro

09:00-12:30 January 26Foyer Cloud

TensorFlow 2 Basics – Sunday

With Andreas Steiner, Ruslan Habalov & Megan Ruthven

09:00-17:00 January 262ABC

Transfer Learning at scale in Natural Language Processing

With Matteo Pagliardini, Yassine Benyahia & Harm Cronie

09:00-12:30 January 26Foyer 1

Unsupervised Learning: Multi Time Series Feature Embedding

With Zhivko Kolev, Dimira Petrova & Dragomir Nikolov

09:00-17:00 January 261ABC

Advances in ML: Theory meets practice

With Sebastian Stich & Aymeric Dieuleveut

13:30-17:00 January 264ABC

Cross-lingual Natural Language Processing

With Ioannis Partalas, Georgios Balikas & Eric Bruno

13:30-17:00 January 26Foyer Cloud

Ensemble Techniques: "Unity is strength"

With Jessica Lanini

13:30-17:00 January 265A

From Forecasting to Prescriptive analytics

With Sotirios Dimopoulos, Niccolò Moretti & Kostja Siefen

13:30-17:00 January 26Foyer 1

From Machine Learning to Control Theory: An Autonomous Driving Case Study

With Adam Barclay & Alexandra Tiska

13:30-17:00 January 26Foyer 6

Machine Learning for (smart) dummies

With Valerio Rossetti

13:30-17:00 January 263A

EPFL Extension School Workshop - Machine Learning and Data Visualization

With Frederic Ouwehand, Xavier Adam, Michael Notter, Panagiota Xydi, Christian Luebbe, Bobby Stuijfzand, Enrico Chavez, Harry Anderson & Giulia Ruggeri

09:00-17:00 January 29Auditorium A

AMLD EPFL 2020 / Program


Exhibitors present at AMLD2020

January 27-29, 2020


Want to improve, challenge or showcase your ML skills? You can compete on 5 exciting competitions.

June 01, 2019-January 28, 2020


Come meet the new hot startups in deep tech at AMLD2020!

January 29, 2020

Tracks & talks

29 'AI & your domain' tracks will feature talks from experts and interesting panels.

January 27-29, 2020

AMLD / Global partners