Full Program

ACDL 2022 Schedule: ACDL-2022-Schedule-Ver6.0

Arrival: August 21, 2022


7:30 - 9:00
Breakfast
9:00 - 10:40
PyTorch 1/5  
Thomas Viehmann
10:40 - 11:20
Coffee break
11:20 - 13:00
PyTorch 2/5  
Thomas Viehmann
13:00 - 15:00
Lunch
15:00 - 16:40
PyTorch 3/5  
Thomas Viehmann
16:40 - 17:20
Coffee break
17:20 - 19:50
PyTorch 4/5  
Thomas Viehmann
19:50 - 21:50
Dinner
21:50 - 22:50
PyTorch 5/5  
Thomas Viehmann
7:30 - 9:00
Breakfast
9:00 - 10:40
Introduction to Deep Learning 1/6  
Alfredo Canziani
10:40 - 11:20
Coffee break
11:20 - 13:00
Introduction to Deep Learning 2/6  
Alfredo Canziani
13:00 - 15:00
Lunch
15:00 - 16:40
Introduction to Deep Learning 3/6  
Alfredo Canziani
16:40 - 17:20
Coffee break
17:20 - 18:20
Guided Visit of the Certosa di Pontignano
18:20 - 19:50
Wine Tasting
19:50 - 21:50
Dinner
21:50 - 22:50
Introduction to Deep Learning 4/6  
Alfredo Canziani
7:30 - 9:00
Breakfast
9:00 - 10:40
Introduction to Deep Learning 5/6  
Alfredo Canziani
10:40 - 11:20
Coffee break
11:20 - 13:00
Introduction to Deep Learning 6/6  
Alfredo Canziani
13:00 - 14:45
Lunch
14:45 - 15:00
Group Photo  
15:00 - 19:50
Social Tour: Guided Visit of Siena
19:50 - 21:50
Dinner
21:50 - 22:50
Classical Music Concert
7:30 - 9:00
Breakfast
9:00 - 10:40
State representation learning and evaluation in robotic interaction tasks  
Danica Kragic Jensfel
10:40 - 11:20
Coffee break
11:20 - 12:10
Computational Approaches for Solving Systems of Nonlinear Equations  
Panos Pardalos
12:10 - 13:00
AI as a Tool for Investigating Human Intelligence 1/2  
Yukie Nagai
13:00 - 15:00
Lunch
15:00 - 15:50
Voting: axiomatic and algorithmic challenges  
Edith Elkind
15:50 - 16:40
AI as a Tool for Investigating Human Intelligence 2/2  
Yukie Nagai
16:40 - 17:20
Coffee break
17:20 - 18:10
Towards Developmental Machine Learning  
Marco Gori
18:10 - 19:00
Voting over restricted preference domains  
Edith Elkind
19:00 - 19:50
Mathematics for Deep Learning 1/2
Roman Belavkin
19:50 - 21:50
Dinner
21:50 - 22:50
Talks  
7:30 - 9:00
Breakfast
9:00 - 9:50
Reading the Genome Sequence using Neural Networks: Introduction
Žiga Avsec
9:50 - 10:40
Reading the Genome Sequence using Neural Networks: Improving Resolution, Interpretability and Accuracy
Žiga Avsec
10:40 - 11:20
Coffee break
11:20 - 12:10
Automated Machine Learning: the state of the art  
Joaquin Vanschoren
12:10 - 13:00
Automated Machine Learning: learning to learn  
Joaquin Vanschoren
13:00 - 15:00
Lunch
15:00 - 15:50
Statistical Physics view of theory of Machine Learning 1/2  
Bruno Loureiro
15:50 - 16:40
Statistical Physics view of theory of Machine Learning 2/2  
Bruno Loureiro
16:40 - 17:20
Coffee break
17:20 - 18:10
Talks  
18:10 - 19:00
Mathematics for Deep Learning 2/2
Roman Belavkin
19:00 - 19:50
Jazz Concert
19:50 - 22:50
Social Dinner

Departure: August 27, 2022