[summer school] Tropical Probabilistic AI School (Tropical ProbAI), Rio de Janeiro — Jan 29-Feb 2, 2024
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Eliezer de Souza da Silva
Nov 4, 2023, 7:20:18 PM11/4/23
to Machine Learning News
Tropical Probabilistic AI School — Jan 29-Feb 2, 2024
You are invited to apply for the 1st Tropical Probabilistic AI School (TropAI), held on January 29-Feb 2, 2024, in Rio de Janeiro, Brazil.
APPLY NOW — The application deadline is November 23, AoE (Anywhere on Earth).
The ProbAI is here to provide an inclusive educational environment that serves state-of-the-art machine learning and artificial intelligence expertise with a probabilistic twist.
Whether you are a Ph.D. student, advanced MSc or BSc student, experienced researcher, engineer, or hobbyist, you're welcome to join our community of learners.
With a carefully designed curriculum and a seamless blend of theory and hands-on sessions, our expert team of invited lecturers will guide you through five intensive days, each dedicated to a different topic: introduction to probabilistic modeling, probabilistic programming, variational inference, and optimization, deep generative models, representation learning, and causality. We will also have a poster session, an excellent opportunity to discuss your ideas with a motivated and knowledgeable community and learn what others are doing in a laid-back setting.
We should experience a collaborative and immersive learning environment where students, lecturers, and teaching assistants work together to deliver an efficient and high-quality knowledge transfer.
You are invited to apply for the 1st Tropical Probabilistic AI School (TropAI), held on January 29-Feb 2, 2024, in Rio de Janeiro, Brazil.
APPLY NOW — The application deadline is November 23, AoE (Anywhere on Earth).
The ProbAI is here to provide an inclusive educational environment that serves state-of-the-art machine learning and artificial intelligence expertise with a probabilistic twist.
Whether you are a Ph.D. student, advanced MSc or BSc student, experienced researcher, engineer, or hobbyist, you're welcome to join our community of learners.
With a carefully designed curriculum and a seamless blend of theory and hands-on sessions, our expert team of invited lecturers will guide you through five intensive days, each dedicated to a different topic: introduction to probabilistic modeling, probabilistic programming, variational inference, and optimization, deep generative models, representation learning, and causality. We will also have a poster session, an excellent opportunity to discuss your ideas with a motivated and knowledgeable community and learn what others are doing in a laid-back setting.
We should experience a collaborative and immersive learning environment where students, lecturers, and teaching assistants work together to deliver an efficient and high-quality knowledge transfer.
On the social side, we are close to many essential spots of Rio, with Corcovado / Sugar Loaf in the view, a distance to Copacabana, Christ the Redeemer, and the options to socialize and explore. We hope the school week will also be full of good social experiences!
Program & Lecturers
Let our team of invited lecturers take you from the foundations up to the state-of-the-art, with a program covering roughly each day:
- Introduction to Probabilistic Modeling
Program & Lecturers
Let our team of invited lecturers take you from the foundations up to the state-of-the-art, with a program covering roughly each day:
- Introduction to Probabilistic Modeling
- Probabilistic Programming
- Variational Inference and Optimization
- Deep Generative Models
- Variational Inference and Optimization
- Deep Generative Models
- Representation Learning
- Causal Inference
- Wilker Aziz (University of Amsterdam)
- Diane Bouchacourt (Meta, FAIR)
- Gauthier Gidel (Mila, University of Montréal)
- Diane Bouchacourt (Meta, FAIR)
- Gauthier Gidel (Mila, University of Montréal)
- Zenna Tavares (Columbia University, Basis Research Institute)
- Sam Witty (Basis Research Institute)
- More to be confirmed!
- Sam Witty (Basis Research Institute)
- More to be confirmed!
Registration Fee
Students (including PhD) → 900 BRL
Academia → 2000 BRL
Industry → 3000 BRL
The TropAI school has available scholarships if the registration fee or travel costs may prevent you from attending the school. Our scholarships are aimed primarily at applicants from Latin America, developing countries, and under-represented groups.
The registration fee includes all courses, coffee breaks, and lunches.
Organizers
The new Tropical 2024 edition of the Probabilistic AI School (ProbAI) is hosted and organized by the School of Applied Mathematics at Fundação Getulio Vargas (FGV EMAp) with the support of Norwegian Open AI Lab and Norwegian University of Science and Technology (NTNU).
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Eliezer de Souza da Silva
Eliezer de Souza da Silva
Eliezer Silva
Nov 20, 2023, 12:21:38 PM11/20/23
to ml-...@googlegroups.com
Tropical Probabilistic AI School — Jan 29-Feb 2, 2024
You are invited to apply for the 1st
Tropical Probabilistic AI School (TropAI), held on January 29-Feb 2, 2024, in Rio de Janeiro, Brazil.
APPLY NOW — The application deadline is November 24, AoE (Anywhere on Earth).
APPLY NOW — The application deadline is November 24, AoE (Anywhere on Earth).
The ProbAI is here to provide an inclusive educational environment that serves state-of-the-art machine learning and artificial intelligence expertise with a probabilistic twist.
Whether you are a Ph.D. student, advanced MSc or BSc student, experienced researcher, engineer, or hobbyist, you're welcome to join our community of learners.
With a carefully designed curriculum and a seamless blend of theory and hands-on sessions, our expert team of invited lecturers will guide you through five intensive days, each dedicated to a different topic: introduction to probabilistic modeling, probabilistic programming, variational inference, and optimization, deep generative models, representation learning, and causality. We will also have a poster session, an excellent opportunity to discuss your ideas with a motivated and knowledgeable community and learn what others are doing in a laid-back setting.
We should experience a collaborative and immersive learning environment where students, lecturers, and teaching assistants work together to deliver an efficient and high-quality knowledge transfer.
On the social side, we are close to many essential spots of Rio, with Corcovado / Sugar Loaf in the view, a distance to Copacabana, Christ the Redeemer, and the options to socialize and explore. We hope the school week will also be full of good social experiences!
Program & Lecturers
Let our team of invited lecturers take you from the foundations up to the state-of-the-art, with a program covering roughly each day:
- Introduction to Probabilistic Modeling
Program & Lecturers
Let our team of invited lecturers take you from the foundations up to the state-of-the-art, with a program covering roughly each day:
- Introduction to Probabilistic Modeling
- Probabilistic Programming
- Variational Inference and Optimization
- Deep Generative Models
- Variational Inference and Optimization
- Deep Generative Models
- Representation Learning
- Causal Inference
- Wilker Aziz (University of Amsterdam)
- Diane Bouchacourt (Meta, FAIR)
- Diane Bouchacourt (Meta, FAIR)
- Zenna Tavares (Columbia University, Basis Research Institute)
- Sam Witty (Basis Research Institute)
- More to be confirmed!
- Sam Witty (Basis Research Institute)
- More to be confirmed!
Registration Fee
Students (including PhD) → 900 BRL
Academia → 2000 BRL
Industry → 3000 BRL
The TropAI school has available scholarships if the registration fee, accommodation and travel costs may prevent you from attending the school. Our scholarships are aimed primarily at applicants from Latin America, developing countries, and under-represented groups.
The registration fee includes all courses, coffee breaks, and lunches.
Organizers
The new Tropical 2024 edition of the Probabilistic AI School (ProbAI) is hosted and organized by the School of Applied Mathematics at Fundação Getulio Vargas (FGV EMAp) with the support of Norwegian Open AI Lab and Norwegian University of Science and Technology (NTNU).
Contact
Facebook: https://www.facebook.com/probabilisticai/
Website: https://tropical.probabilistic.ai
Facebook: https://www.facebook.com/probabilisticai/
Website: https://tropical.probabilistic.ai
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Eliezer de Souza da Silva
Eliezer de Souza da Silva
Postdoctoral scholar at FGV EMAp
Probabilistic AI
https://eliezersilva.blog/
https://eliezersilva.blog/
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