Normalizing Flows and Diffusion Models for Images and Text: Didrik Nielsen (DTU Compute)

Machine Learning with Imperfect Labels: Raul Santos-Rodriguez (University of Bristol)

Flow Matching: Simplifying and Generalizing Diffusion Models | Yaron Lipman

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System Design Concepts Course and Interview Prep

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Conversation with Elon Musk | World Economic Forum Annual Meeting 2026

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Advances in explainable DL & how to model uncertainty in explainability: Kristoffer Wickstrøm (UiT)

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Математическая тревожность, нейросети, задачи тысячелетия / Андрей Коняев

Phd defence- Analytical, Big Data, and Simulation Models of Railway Delays Part 1. Fabrizio Cerreto.

Automated Methods for Efficient Training and Architecture Design: Aaron Klein (OpenEuroLLM)

Introduction to Normalizing Flows (ECCV2020 Tutorial)

Miika Aittala: Elucidating the Design Space of Diffusion-Based Generative Models

ICLR 2021 Keynote - "Geometric Deep Learning: The Erlangen Programme of ML" - M Bronstein

High-Resolution Image Synthesis with Latent Diffusion Models

Jeffrey Fessler - An Introduction to Score Based Generative Models

GraphRAG: союз графов знаний и RAG: Эмиль Эйфрем

How AI Image Generators Work (Stable Diffusion / Dall-E) - Computerphile

"Normalizing Flows" by Didrik Nielsen