Resources
Poke gave him life. Ender gave it meaning.
—Orson Scott Card
My Slides
- Dec 2019
- Towards Efficient Learning of Graphical Models and Neural Networks with Variational Techniques
- Dec 2019
- Information theoretical deep learning with variational techniques
- Feb 2019
- A Short Tutorial on Bayesian Deep Learning
- Jan 2019
- La journee des doctorants CSTB
- Dec 2018
- On Variational Characterization of Mutual Information for Regularizing Deep Learning
- Aug 2018
- Efficient Inference and Learning for Undirected Probabilistic Graphical Models
- Jan 2018
- GAN, VAE and Semi-Supervised Learning: Part I
- Jan 2018
- Towards Urban Semantization
My Posters
- Dec 2019
- Empirical Bayes Transductive Meta-Learning with Synthetic Gradients
- Dec 2018
- beta-BNN: A Rate-Distortion Perspective on Bayesian Neural Networks
- Apr 2018
- SDCA-Powered Inexact Dual Augmented Lagrangian Method for Fast CRF Learning
My Notes
- My technical notes
- hushell.blogspot.fr
Useful courses
- Guillaume Obozinski
- Introduction to Probabilistic Graphical Models
- Lieven Vandenberghe
- EE236C - Optimization Methods for Large-Scale Systems
- David Silver
- Reinforcement Learning