Reaching for the Stars with Indigenous STEM

Éclaireurs autochtones en IA 2024 | Indigenous Pathfinders in AI 2024

Memorization, generalization and retraining of modern generative models

Dimension reduction - from tSNE to UMAP with Contrastive Learning

Learning Causal Variables with Machine Learning

Reaching for the Stars with Indigenous STEM

Scaling Laws for Foundation Models

Algorithmic fairness through group calibration : theories and applications in medical imaging

How might variance and bias in the brain's gradient estimates affect learning?

AI for Proving and Disproving Conjectures in Mathematics

Mila - Boussole des politiques en IA

AMI - L'IA pour protéger la biodiversité l AMI - AI to protect biodiversity

Conférence sur l'IA et les droits humains à Mila l Human Rights and AI conference at Mila

Protecting Human Rights in the Age of AI Conference - Day 1

Présentation du projet AMI (Surveillance automatisée des insectes) l Introducing the AMI Project

Mila - AI Policy Compass

AI4Good Lab : Un aperçu de l'édition 2023

AI4Good Lab: A glimpse into the 2023 edition

GFlowNets - Open Problems and Future Perspective - Yoshua Bengio

Continuous GFlowNets - Salem Lahlou

Training GFlowNets - Jarrid Rector Brooks

Introduction to GFlowNets - Part 1 - Emmanuel Bengio

Introduction to GFlowNets - Part 2 - Nikolay Malkin

Lumière sur Beheshteh T. Rakhshan l Spotlight on Beheshteh T. Rakhshan

École d'été sur l'IA responsable et les droits humains l Summer School in Responsible AI