Hugo Larochelle Google Brain Autoregressive Generative Models With Deep Learning

Hugo Larochelle, Google Brain: Autoregressive Generative Models with Deep Learning

Questions okay so um let me just give a little history of of at least as as far as I understand it for

The Deep End of Deep Learning | Hugo Larochelle | TEDxBoston

Artificial

Foundations of Deep Learning (Hugo Larochelle, Twitter)

The talks at the

Neural networks [7.1] : Deep learning - motivation

There's also some theoretical justification that have been put forth in the literature we can actually show that a

Neural networks [6.1] : Autoencoder - definition

In this video we'll introduce a new type of

The Brains Behind AI: Hugo Larochelle

Machines

Neural networks [7.6] : Deep learning - deep autoencoder

In this video we'll talk about a popular

Neural networks [4.4] : Training CRFs - discriminative vs. generative learning

In this video we'll discuss and contrast two different types of

Neural networks [7.4] : Deep learning - example

This other experiments is a one where we try to see what was the best architecture to use in a

Deep Learning Part - II (CS7015): Lec 21.1 Neural Autoregressive Density Estimator (NADE)

Deep Learning

Few Shot Learning with Meta Learning Progress Made and Challenges Ahead Hugo Larochelle

TITLE: Few-Shot

TMLR - A New Open Journal For Machine Learning

This talk was given at the NeurIPS 2021 Pre-Registration Workshop (https://preregister.science/). You may view the recording of ...

Neural networks [7.5] : Deep learning - dropout

... geometric average and so uh intuitively we in

Neural Networks Hugo Larochelle

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Lecture 1: Autoregressive models (Sept 4, 2019)

... где он рассказывал про reinforcement

KCHL - teaching AI in the era of AI agents...

Recorded on May 20th 2026 (apologies for KC's glitchy audio). Topics discussed: 1:22 - Return on ICLR 2026 * Our predictions ...