Please download the ACDL 2021 Program: ACDL-2021-Program
Arrival: July 18, 2021
7:30 - 9:00
Breakfast
9:00 - 9:50
Lecture 1: Introduction to Machine Learning: Part 1
Chris Bishop 

9:50 - 10:40
Lecture 2: Introduction to Machine Learning: Part 2
Chris Bishop 

10:40 - 11:20
Coffee break
13:00 - 15:00
Lunch
15:00 - 15:50
Lecture 1: The Decision-Making Side of Machine Learning: Computational, Inferential and Economic Perspectives
Michael I. Jordan 

16:40 - 17:20
Coffee break
17:20 - 18:10
Lecture 2: Deep Learning in Science 2/2
Pierre Baldi 

18:10 - 19:00
Lecture 1: Is AI Good or Evil?
Oren Etzioni 

19:00 - 19:10
Break
19:10 - 20:00
Lecture 2: Semantic Scholar, NLP, and the Fight against COVID-19
Oren Etzioni 

20:00 - 22:00
Dinner
7:30 - 9:00
Breakfast
9:00 - 9:50
Lecture 1: Data trends and artificial intelligence in medicinal chemistry and drug design
Jürgen Bajorath 

9:50 - 10:40
Lecture 2: Rationalizing molecular promiscuity through data analysis and machine learning
Jürgen Bajorath 

10:40 - 11:20
Coffee break
12:10 - 13:00
Lecture 2: Deep Graph Networks: Generative approaches and research directions
Davide Bacciu 

13:00 - 15:00
Lunch
15:00 - 15:50
Lecture 1: Knowledge Processing, Logic, and the Future of AI (I)
Georg Gottlob 

15:50 - 16:40
Lecture 2: Knowledge Processing, Logic, and the Future of AI (II)
Georg Gottlob 

16:40 - 17:20
Coffee break
17:20 - 18:20
Guided Visit of the Certosa di Pontignano
18:20 - 20:00
Wine Tasting
20:00 - 22:00
Dinner
7:30 - 9:00
Breakfast
9:50 - 10:40
Lecture 2: Is hiding fair? (2/2)
Bettina Berendt 

10:40 - 11:20
Coffee break
11:20 - 12:10
Tutorial: Political Coalitions by Unsupervised Learning
Ivan Martino
12:10 - 13:00
Lecture 1: Safety and Robustness for Deep Learning Part 1
Marta Kwiatkowska 

13:00 - 15:00
Lunch
15:00 - 15:50
Lecture 1: Causal Inference I
Silvia Chiappa 

15:50 - 16:40
Lecture 2: Causal Inference II
Silvia Chiappa 

16:40 - 17:20
Coffee break
17:20 - 18:10
18:10 - 19:00
Lecture 2: Introduction to variational quantum algorithms: optimisation, machine learning and universality of the variational model (2/2)
Jacob D. Biamonte 

19:00 - 19:10
Break
19:10 - 20:00
AI LSCI Presentation
20:00 - 22:00
Dinner
22:00 - 22:40
Oral Presentations
7:30 - 9:00
Breakfast
9:00 - 9:50
9:50 - 10:40
Lecture 2: Deep Learning To See Towards New Foundations of Computer Vision (2/2)
Marco Gori 

10:40 - 11:20
Coffee break
13:00 - 15:00
Lunch
15:00 - 20:00
Social Tour: Guided Visit of Siena
20:00 - 22:00
Dinner
22:00 - 22:40
Oral Presentations
7:30 - 9:00
Breakfast
9:00 - 9:50
Lecture 1: Interpretable and Fair ML (1/2)
Isabel Valera 

9:50 - 10:40
Lecture 2: Interpretable and Fair ML (2/2)
Isabel Valera 

10:40 - 11:20
Coffee break
11:20 - 12:10
Lecture 1: Networks of Networks
Panos Pardalos 

12:10 - 13:00
Lecture 2: Safety and Robustness for Deep Learning Part 2
Marta Kwiatkowska 

13:00 - 15:00
Lunch
15:00 - 15:50
Lecture 1: Understanding Risk and Social Behavior Improves Decision Making for Autonomous Vehicles
Daniela Rus 

15:50 - 16:40
Tutorial 2: Random Functions and Stochastic Processes
Roman Belavkin 

16:40 - 17:20
Coffee break
17:20 - 18:10
Tutorial 3: Game and Optimization Theories
Roman Belavkin 

18:10 - 19:00
Lecture 1: Why Medicine is Creating Exciting New Frontiers for Machine Learning
Mihaela van der Schaar 

20:00 - 22:00
Social Dinner
Departure: July 24, 2021