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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

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

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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