Wed, Sep 29
Thu, Sep 30
Mon, Oct 25
Tue, Oct 26
Fri, Oct 29
09:00

Graph Neural Networks for structured data

With Volodya Shtenovych

09:00 - 13:00, Sep, 29STCC, EPFL Campus, Lausanne, SwitzerlandWorkshopView detail

Federated Learning: collaborative machine learning on sensitive decentralized data

With Aman Apte & Moritz Freidank

09:00 - 13:00, Sep, 29STCC, EPFL Campus, Lausanne, SwitzerlandWorkshopView detail

Fraud detection with unsupervised machine learning

With Steffen Terhaar, Giulio Ghirardo, Alessandro Scarpato & Ernst Oldenhof

09:00 - 12:15, Sep, 29STCC, EPFL Campus, Lausanne, SwitzerlandWorkshopView detail

🚂 Flatland: Multi-Agent Reinforcement Learning for Trains

With Yanick Schraner, Manuel Schneider, Florian Laurent, Christian Scheller & Sharada Mohanty

09:00 - 17:00, Sep, 29STCC, EPFL Campus, Lausanne, SwitzerlandWorkshopView detail
13:30

From Sketch(y) to Picture(sque) with Deep Learning

With Thibault Calvayrac & Gaétan Ramet

13:30 - 17:30, Sep, 29STCC, EPFL Campus, Lausanne, SwitzerlandWorkshopView detail

No mercy for manual entry

With Giulio Cornelio Grossi & Valerio Rossetti

13:30 - 17:30, Sep, 29STCC, EPFL Campus, Lausanne, SwitzerlandWorkshopView detail

Shedding Light on obscure Graph Deep Learning

With William Cappelletti, Arnaud Dhaene & Matteo Togninalli

13:30 - 17:30, Sep, 29STCC, EPFL Campus, Lausanne, SwitzerlandWorkshopView detail
09:00

Introduction

09:00 - 09:02, Sep, 30AI & PhysicsView detail

AI & Physics

09:00 - 18:15, Sep, 30OnlineView detail
09:02

Opening remarks – ML for Quantum Physic

09:02 - 09:05, Sep, 30AI & PhysicsView detail
09:10

Machine Learning Simulation of Quantum Matter

With Giuseppe Carleo

09:10 - 09:40, Sep, 30AI & PhysicsView detail
09:45

Correlation-Enhanced Neural Networks as Interpretable Variational Quantum States

With Agnes Valenti

09:45 - 10:15, Sep, 30AI & PhysicsView detail
10:20

Control of Stochastic Quantum Dynamics by Differentiable Programming

With Frank Schäfer

10:20 - 10:30, Sep, 30AI & PhysicsView detail
10:35

Optimized Observable Readout from Single-Shot Images of Ultracold Atoms via Machine Learning

With Paolo Molignini

10:35 - 10:45, Sep, 30AI & PhysicsView detail
10:50

Machine learning designing quantum experiments

With Alexey Melnikov

10:50 - 11:15, Sep, 30AI & PhysicsView detail
11:20

Poster Session

11:20 - 12:20, Sep, 30AI & PhysicsView detail
12:20

Lunch break

12:20 - 13:15, Sep, 30AI & PhysicsView detail
13:15

Opening remarks – ML and Statistical Physics

13:15 - 13:20, Sep, 30AI & PhysicsView detail
13:20

Dynamics of learning in simple neural networks through the lens of statistical physics

With Andrew Saxe

13:20 - 13:50, Sep, 30AI & PhysicsView detail
13:55

Soft Mode in the Dynamics of Over-realizable On-line Learning for Soft Committee Machines

With Roman Worschech

13:55 - 14:05, Sep, 30AI & PhysicsView detail
14:10

Training is not a continuous search for a minimum

With Diego Tapias

14:10 - 14:20, Sep, 30AI & PhysicsView detail
14:25

Understanding classification problems using statistical physics: the role of data structure and losses

With Marylou Gabrié

14:25 - 14:55, Sep, 30AI & PhysicsView detail
15:00

Statistical physics of machine learning

With Bruno Loureiro

15:00 - 15:30, Sep, 30AI & PhysicsView detail
15:30

Coffee break

15:30 - 15:45, Sep, 30AI & PhysicsView detail
15:45

Opening remarks – Inference and Anomaly Detection Session

15:45 - 15:50, Sep, 30AI & PhysicsView detail
15:50

Deep Learning for molecular physics

15:50 - 16:20, Sep, 30AI & PhysicsView detail
16:25

Unsupervised anomaly detection as a new strategy for discoveries

With Gregor Kasieczka

16:25 - 16:55, Sep, 30AI & PhysicsView detail
17:00

Uncertainty Aware Learning for High Energy Physics

With Aishik Ghosh

17:00 - 17:10, Sep, 30AI & PhysicsView detail
17:15

Let's open the black box! Hessian-based toolbox for interpretable and reliable machines learning physics

With Anna Dawid

17:15 - 17:25, Sep, 30AI & PhysicsView detail
17:30

Uncertainty and Out-of-distribution Robustness in Deep Learning

With Balaji Lakshminarayanan

17:30 - 18:00, Sep, 30AI & PhysicsView detail
18:00

Concluding remarks

18:00 - 18:05, Sep, 30AI & PhysicsView detail
09:00

AI & Resilience in dynamic environments

09:00 - 17:00, Oct, 25OnlineView detail
09:00

PyTorch Hands on Tutorial

With Evann Courdier

09:00 - 17:00, Oct, 26STCC, EPFL Campus, Lausanne, SwitzerlandWorkshopView detail

🤖 Can your AI beat the Turing test?

With Olesia Altunina, Martin Müller, Florian Laurent & Manuel Schneider

09:00 - 17:00, Oct, 26STCC, EPFL Campus, Lausanne, SwitzerlandWorkshopView detail

Predicting customer churn: an introduction to survival analysis in Python

With Marcel Blattner, Elena Tverdokhlebova, Amalia Spataru & Alessandro Nesti

09:00 - 13:00, Oct, 26STCC, EPFL Campus, Lausanne, SwitzerlandWorkshopView detail

Active Learning in the Real World

With Nader Salman, Léo Dreyfus-Schmidt & Alexandre Abraham

09:00 - 13:00, Oct, 26STCC, EPFL Campus, Lausanne, SwitzerlandWorkshopView detail
13:30

JAX: High-performance ML research

With Avital Oliver & Andreas Steiner

13:30 - 17:30, Oct, 26STCC, EPFL Campus, Lausanne, SwitzerlandWorkshopView detail

"Back to the Feature" - boost your ML model with (statistical) feature engineering

13:30 - 17:30, Oct, 26STCC, EPFL Campus, Lausanne, SwitzerlandWorkshopView detail
09:00

Enabling cooperation between multiple agents: information sharing in Multi-Agent Reinforcement Learning

With Irene Sturm

09:00 - 17:00, Oct, 29OnlineWorkshopView detail
09:00

Machine Learning in Sustainable Finance

With Christian Spindler

09:00 - 17:00, Nov, 04OnlineWorkshopView detail
09:00

Applied Machine Learning with R

With Dirk Wulff & Markus Steiner

09:00 - 17:00, Nov, 05OnlineWorkshopView detail
10:00

Towards ethical AI – practical tools for responsible data scientists

With Lea Strohm & Johan Rochel

10:00 - 11:30, Nov, 10OnlineWorkshopView detail
09:00

AI & Cities

09:00 - 17:00, Dec, 02Forum Rolex, EPFL and onlineView detail

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