Opening Ceremony and Registration: Sunday, November 10th, 5:00 PM
The Opening Ceremony will take place on Sunday November 10th at 5:00 PM followed by a Round Table on AI in LATAM. Participants registration is also possible at this event from 3:00 PM.
Program
Monday Nov/11
7:30 – Registration
8:15 – Opening words
8:30 – Keynote: ML Challenges and Opportunities of Computational Behavioral
Phenotyping in Developmental Health (Guillermo Sapiro) Video
9:30 – Machine Learning Fundamentals (Luciana Ferrer) Video, Slides
10:30 – Coffee Break
11:00 – Deep Learning Fundamentals (René Vidal) Video
12:00 – Lunch
14:00 – Convolutional Neural Networks I (Enzo Ferrante) Video, Slides
15:00 – Spotlights:
Álvaro Soto (UC, Chile) Video, Slides
Anna H. Reali Costa (USP, Brazil) Video, Slides,
Fabio González (UNC, Colombia) Video, Slides,
José Eduardo Ochoa Luna (UCSP, Peru) Video, Slides.
16:00 – Sponsors’ talks: AI platform (Google Cloud)
16:30 – Coffee Break
17:00 – Practical session 1: Convolutional Neural Networks;
Optimisation for Deep Learning; Hackathon
19:00 – Welcome Event
Tuesday Nov/12
8:30 – Convolutional Neural Networks II (Juan Carlos Niebles) Video, Slides
9:30 – Spotlights: Maria-José Escobar (UTFSM, Chile) Video, Slides
10:00 – Coffee Break
10:30 – Generative Models and Unsupervised Learning (Ian Goodfellow)
12:00 – Lunch / Poster Session 1
14:00 – Recurrent Neural Networks (Kyunghyun Cho) Video, Slides 1, 2 & 3.
16:00 – Sponsors’ talks (Tryolabs and Apple) Video
16:30 – Coffee Break
17:00 – Practical session 2: Recurrent Neural Networks;
Transformer Architecture for NLP; Hackathon
19:00 – Break
20:00 – How to Write a Great Research Paper (Panel: Nando de Freitas,
Claire Monteleoni, David Lopez-Paz and Martin Arjovsky), Slides
Wednesday Nov/13
8:30 – Machine Learning for Health Care (Danielle Belgrave)
9:30 – Spotlights:
Luciana Benotti (UNC, Argentina) Video, Slides
Agustin Gravano (UBA, Argentina) Video, Slides
Renato Assunção (UFMG, Brazil) Video, Slides
Violeta Chang (U de SC, Chile) Video, Slides
10:30 – Coffee Break
11:00 – Perspectives on AI (Yoshua Bengio) Video, Slides
12:00 – Lunch (on your own)
14:00 – About the Khipus (Omar Florez) Slides
14:10 – Reinforcement Learning (Nando de Freitas) Video, Slides
16:00 – Sponsors’ talks (Globant and MercadoLibre) Video
16:30 – Coffee Break
17:00 – Practical session 3: Reinforcement Learning;
Generative Models; Hackathon
Thursday Nov/14
UPDATE!
9:30 – Climate and Artificial Intelligence (Claire Monteleoni) Video, Slides
10:30 – Sponsored talks (DeepMind, UTE and ASAPP) Video
11:30 – Group photo
12:00 – Lunch / Poster Session 2
14:00 – Robotics and Continuous Control (Chelsea Finn), Video, Slides
15:00 – Causality and Generalization (David Lopez-Paz), Video, Slides
16:00 – Sponsors’ talks (Antel) Video
16:30 – Coffee Break
17:00 – Modeling the Space of Natural Images: History and Applications (Pablo Musé), Video
17:30 – Microdata Anonymization for Learning Analytics (Lorena Etcheverry) Video, Slides
18:00 – Privacy and Security in Machine Learning (Martín Abadi) Video
19:00 – Break
20:00 – Women in AI (hosted by Google) Video https://events.withgoogle.com/women-in-ai-at-khipu/
Friday Nov/15
8:30 – Parallel Session 1:
Advanced NLP: Oriol Vinyals Video, Jorge Pérez Video, Slides, Luciana
Benotti Video, Slides, Lucia Specia Video, Slides
Frontiers in Computer Vision: Álvaro Soto Slides, Maria-José Escobar Slides, Enzo
Ferrante Slides, Sandra Ávila Slides
10:30 – Coffee Break
11:00 – AlphaStar: StarCraft II using multi-agent RL (Oriol Vinyals) Video
12:00 – Lunch / Poster Session 3
14:00 – Parallel Session 2:
AI for Social Good: Jeff Dean Video, Slides Danielle Belgrave Video, Cecilia
Aguerrebere Video, Slides, Alejandro Noriega Campero Video, Guillermo
Sapiro Video
Life of a ML Startup: Mario Guajardo, Agustina Sartori, Martín Alcalá,
Thiago Cardoso, Matthieu Jonckheere Slides
16:00 – Coffee Break
16:30 – Machine Learning for Subsurface Characterization (Bianca Zadrozny) Video, Slides
17:30 – Deep Learning to Solve Challenging Problems (Jeff Dean) Video, Slides
19:00 – Break
20:00 – Farewell Dinner and Party
Program at a glance
Monday Nov/11 |
Tuesday Nov/12 |
Wednesday Nov/13 |
Thursday Nov/14 |
Friday Nov/15 |
|
07:30 | Registration | ||||
08:15 | Opening words | ||||
08:30 | Keynote: Machine Learning Challenges and Opportunities of Computational Behavioral Phenotyping in Developmental Health (Guillermo Sapiro) |
Convolutional Neural Networks II (Juan Carlos Niebles) |
Machine Learning for Healthcare (Danielle Belgrave) |
Climate and AI (Claire Monteleoni) |
Parallel Session 1: |
09:00 | |||||
09:30 | Machine Learning Fundamentals (Luciana Ferrer) |
Spotlights: Maria-José Escobar, Federico Lecumberry |
Spotlights: Luciana Benotti, Agustin Gravano, Renato Assunção, Violeta Chang |
Sponsors talks (DeepMind, UTE and ASAPP) | |
10:00 | Break | ||||
10:30 | Break | Generative Models and Unsupervised Learning (Ian Goodfellow) |
Break | Break | Break |
11:00 | Deep Learning Fundamentals (René Vidal) |
Perspectives on AI (Yoshua Bengio) |
Deep Learning Frameworks (Soumith Chintala) |
AlphaStar: StarCraft II using multi-agent RL (Oriol Vinyals) |
|
11:30 | |||||
12:00 | Lunch | Lunch and Poster Session 1 | Lunch | Lunch and Poster Session 2 | Lunch and Poster Session 3 |
12:30 | |||||
13:00 | |||||
13:30 | |||||
14:00 | Convolutional Neural Networks I (Enzo Ferrante) |
Recurrent Neural Networks (Kyunghyun Cho) |
Reinforcement Learning (Nando de Freitas) |
Robotics and Continuous Control (Chelsea Finn) |
Parallel Session 2: Life of a Machine Learning Startup: Mario Guajardo, Agustina Sartori, Martín Alcalá, Thiago Cardoso, Matthieu Jonckheere |
14:30 | |||||
15:00 | Spotlights: Álvaro Soto, Anna H. Reali Costa, Fabio Gonzalez, José E Ochoa Luna |
Causality and Generalization (David Lopez-Paz) |
|||
15:30 | |||||
16:00 | Sponsors talk (Google) | Sponsors talks (Tryolabs and Apple) | Sponsors talks (Globant and MercadoLibre) | Sponsors talk (Antel) | Break |
16:30 | Break | Break | Break | Break | Machine Learning for Subsurface Characterization (Bianca Zadrozny) |
17:00 | Practical 1: CNNs / Optimisation for DL / Hackathon |
Practical 2: RNNs / Transformer / Hackathon |
Practical 3: Reinforcement Learning / Generative Models / Hackathon | Modeling the space of natural images: history and applications (Pablo Musé) |
|
17:30 | Microdata anonymization for learning analytics (Lorena Etcheverry) |
Deep Learning to Solve Challenging Problems (Jeff Dean) |
|||
18:00 | Privacy and Security in Machine Learning (Martin Abadi) |
||||
18:30 | |||||
19:00 | Welcome event | Break | Free | Free | |
19:30 | |||||
20:00 | How to write a great research paper | Women in AI (hosted by Google) |
Farewell dinner and party | ||
20:30 | |||||
21:00 | |||||
21:30 |