7:30 - 9:00
Breakfast
9:00 - 9:50
Lecture 1
Josh Tenenbaum ![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2018/12/Josh-Tenenbaum-150x150.jpg)
![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2018/12/Josh-Tenenbaum-150x150.jpg)
9:50 - 10:40
Lecture 1: Learning in the factory and in the wild: designing robot systems that learn
Leslie Kaelbling ![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2019/02/4765_macvicar-4-150x150.jpg)
![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2019/02/4765_macvicar-4-150x150.jpg)
10:40 - 11:20
Coffee Break
11:20 - 12:10
Lecture 1: Introduction to Generative Adversarial Networks
Phillip Isola ![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2018/12/Phillip_Isola-150x150.jpg)
![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2018/12/Phillip_Isola-150x150.jpg)
12:10 - 13:00
Lecture 1: Model-based reinforcement learning I
Ioannis Antonoglou ![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2018/12/Unknown-2-150x150.jpeg)
![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2018/12/Unknown-2-150x150.jpeg)
13:00 - 15:00
Lunch
15:00 - 15:50
Lecture 1: Unsupervised Learning: Learning Deep Generative Models
Ruslan Salakhutdinov ![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2018/12/Salakhutdinov-150x150.jpg)
![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2018/12/Salakhutdinov-150x150.jpg)
15:50 - 16:40
Lecture 2: Deep Learning for Natural Language Processing/Reading Comprehension
Ruslan Salakhutdinov ![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2018/12/Salakhutdinov-150x150.jpg)
![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2018/12/Salakhutdinov-150x150.jpg)
16:40 - 17:20
Coffee Break & Group Photo
17:20 - 18:10
Lecture 1: Introduction to Automated Machine Learning (AutoML)
Joaquin Vanschoren ![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2018/12/Vanschoren_Joaquin-150x150.jpg)
![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2018/12/Vanschoren_Joaquin-150x150.jpg)
18:10 - 19:30
Poster Session
19:30 - 21:30
Dinner
7:30 - 9:00
Breakfast
9:00 - 9:50
Lecture 2: Learning factored transition models for planning in complex hybrid spaces
Leslie Kaelbling ![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2019/02/4765_macvicar-4-150x150.jpg)
![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2019/02/4765_macvicar-4-150x150.jpg)
9:50 - 10:40
Lecture 2
Josh Tenenbaum ![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2018/12/Josh-Tenenbaum-150x150.jpg)
![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2018/12/Josh-Tenenbaum-150x150.jpg)
10:40 - 11:20
Coffee Break
11:20 - 12:10
Lecture 2: Meta-learning
Joaquin Vanschoren ![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2018/12/Vanschoren_Joaquin-150x150.jpg)
![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2018/12/Vanschoren_Joaquin-150x150.jpg)
12:10 - 13:00
Lecture 2: Conditional GANs and Data Prediction
Phillip Isola ![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2018/12/Phillip_Isola-150x150.jpg)
![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2018/12/Phillip_Isola-150x150.jpg)
13:00 - 15:00
Lunch
15:00 - 15:50
Lecture 3: Integrating Domain-Knowledge into Deep Learning
Ruslan Salakhutdinov ![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2018/12/Salakhutdinov-150x150.jpg)
![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2018/12/Salakhutdinov-150x150.jpg)
15:50 - 16:40
Lecture 1: The Principle of Least Cognitive Action
Marco Gori ![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2017/12/Photo-62-150x150.jpg)
![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2017/12/Photo-62-150x150.jpg)
16:40 - 17:20
Coffee Break
17:20 - 18:10
Lecture 2: Model-based reinforcement learning II
Ioannis Antonoglou ![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2018/12/Unknown-2-150x150.jpeg)
![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2018/12/Unknown-2-150x150.jpeg)
18:10 - 19:00
Lecture 3: AlphaZero: A general model-based planning reinforcement learning algorithm for board games
Ioannis Antonoglou ![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2018/12/Unknown-2-150x150.jpeg)
![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2018/12/Unknown-2-150x150.jpeg)
19:30 - 21:30
Dinner
7:30 - 9:00
Breakfast
9:00 - 9:50
Lecture 3
Josh Tenenbaum ![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2018/12/Josh-Tenenbaum-150x150.jpg)
![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2018/12/Josh-Tenenbaum-150x150.jpg)
9:50 - 10:40
Lecture 3: Learning to speed up planning in complex hybrid spaces
Leslie Kaelbling ![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2019/02/4765_macvicar-4-150x150.jpg)
![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2019/02/4765_macvicar-4-150x150.jpg)
10:40 - 11:20
Coffee Break
11:20 - 12:10
Lecture 2: Quasi-Periodic Temporal Environments
Marco Gori ![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2017/12/Photo-62-150x150.jpg)
![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2017/12/Photo-62-150x150.jpg)
12:10 - 13:00
Lecture 3: AutoML and meta-learning for neural networks
Joaquin Vanschoren ![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2018/12/Vanschoren_Joaquin-150x150.jpg)
![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2018/12/Vanschoren_Joaquin-150x150.jpg)
13:00 - 15:00
Lunch
15:00 - 15:50
Lecture 1: Latest advances in enhancing Interpretability in Data Science via means of Mathematical Optimization (Part 1)
Dolores Romero Morales ![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2018/12/Dolores-Romero-Morales-150x150.jpg)
![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2018/12/Dolores-Romero-Morales-150x150.jpg)
15:50 - 16:40
Lecture 3: GANs for Domain Translation
Phillip Isola ![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2018/12/Phillip_Isola-150x150.jpg)
![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2018/12/Phillip_Isola-150x150.jpg)
16:40 - 17:20
Coffee Break
17:20 - 18:10
Building Iride: how to mix deep learning and Ontologies techiniques to understand language
Raniero Romagnoli ![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2019/07/raniero-romagnoli-7ccf1700.jpg)
![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2019/07/raniero-romagnoli-7ccf1700.jpg)
18:10 - 19:00
Flash-talk: tell me about yourself in five minutes
Vincenzo Sciacca ![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2019/03/foto2-150x150.png)
![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2019/03/foto2-150x150.png)
19:30 - 21:30
Dinner
7:30 - 9:00
Breakfast
9:00 - 9:50
Lecture 1: The Information Theory of Deep Learning: Towards Interpretable Deep Neural Networks - Rethinking Computational Learning theory
Naftali Tishby ![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2018/12/image1-3-150x150.jpeg)
![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2018/12/image1-3-150x150.jpeg)
9:50 - 10:40
Lecture 1: Advanced topics: Graph Neural Networks
Oriol Vinyals ![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2018/12/Oriol-Vinyals-150x150.jpg)
![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2018/12/Oriol-Vinyals-150x150.jpg)
10:40 - 11:20
Coffee Break
11:20 - 12:10
Lecture 1: KNIME training session 1
Giuseppe Di Fatta ![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2018/12/gdf-150x150.jpg)
![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2018/12/gdf-150x150.jpg)
12:10 - 13:00
Lecture 2: The Information Theory of Deep Learning: Towards Interpretable Deep Neural Networks - The role Stochastic Gradient Descent in achieving the Information Bottleneck optimal bound
Naftali Tishby ![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2018/12/image1-3-150x150.jpeg)
![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2018/12/image1-3-150x150.jpeg)
13:00 - 15:00
Lunch
15:00 - 15:50
Lecture 2: Latest advances in enhancing Interpretability in Data Science via means of Mathematical Optimization (Part 2)
Dolores Romero Morales ![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2018/12/Dolores-Romero-Morales-150x150.jpg)
![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2018/12/Dolores-Romero-Morales-150x150.jpg)
15:50 - 16:40
Lecture 3: Developmental Visual Agents
Marco Gori ![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2017/12/Photo-62-150x150.jpg)
![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2017/12/Photo-62-150x150.jpg)
16:40 - 17:20
Coffee Break
17:20 - 18:10
Lecture 2: KNIME training session 2
Giuseppe Di Fatta ![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2018/12/gdf-150x150.jpg)
![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2018/12/gdf-150x150.jpg)
18:10 - 19:00
Lecture 3: Data-intensive Knowledge Discovery from Brain Imaging of Alzheimer’s Disease Patients
Giuseppe Di Fatta ![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2018/12/gdf-150x150.jpg)
![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2018/12/gdf-150x150.jpg)
19:30 - 21:30
Dinner
7:30 - 9:00
Breakfast
9:00 - 9:50
Lecture 2: Reinforcement and Imitation Learning at Scale: AlphaStar and Beyond
Oriol Vinyals ![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2018/12/Oriol-Vinyals-150x150.jpg)
![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2018/12/Oriol-Vinyals-150x150.jpg)
9:50 - 10:40
Lecture 3: The Information Theory of Deep Learning: Towards Interpretable Deep Neural Networks - The computational benefits of the hidden layers and the role of symmetry for the interpretability of the layers
Naftali Tishby ![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2018/12/image1-3-150x150.jpeg)
![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2018/12/image1-3-150x150.jpeg)
10:40 - 11:20
Coffee Break
11:20 - 12:10
Lecture 3: Representation Learning With Generative Models
Oriol Vinyals ![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2018/12/Oriol-Vinyals-150x150.jpg)
![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2018/12/Oriol-Vinyals-150x150.jpg)
12:10 - 13:00
Lecture 3: Latest advances in enhancing Interpretability in Data Science via means of Mathematical Optimization (part 3)
Dolores Romero Morales ![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2018/12/Dolores-Romero-Morales-150x150.jpg)
![](https://acdl2019.icas.xyz/wp-content/uploads/sites/9/2018/12/Dolores-Romero-Morales-150x150.jpg)
13:00 - 15:00
Lunch
15:00 - 21:30
Social Tour of Siena & Dinner in Contrada
ACDL-2019-Programme PDF Version