Hi all,
This Tuesday, 19th November, Hugo Larochelle is visiting our lab and is going to give a talk. The time is 10:30 AM, place is Z300, pavilion McNicoll.
Title: Deep Learning for Distribution Estimation Abstract::
In this talk, I will present my recent research on using neural networks for the task of distribution/density estimation, a fundamental problem in machine learning. Specifically, I will discuss the neural autoregressive distribution estimator (NADE), a state-of-the-art estimator of the probability distribution of data along with its various extensions. I will also describe a recent deep version of NADE, which again illustrates the statistical modelling power of deep models.
Hope to see many of you there, Best, Razvan
Afficher les réponses par date
If anybody is interested in meeting with Hugo or simply participating in discussions with him during the day of his visit (i.e. talk about deep learning + natural language processing), please reply to Razvan and I.
-- Yoshua
On Wednesday, November 13, 2013, Razvan Pascanu wrote:
Hi all,
This Tuesday, 19th November, Hugo Larochelle is visiting our lab and is going to give a talk. The time is 10:30 AM, place is Z300, pavilion McNicoll.
Title: Deep Learning for Distribution Estimation Abstract::
In this talk, I will present my recent research on using neural networks for the task of distribution/density estimation, a fundamental problem in machine learning. Specifically, I will discuss the neural autoregressive distribution estimator (NADE), a state-of-the-art estimator of the probability distribution of data along with its various extensions. I will also describe a recent deep version of NADE, which again illustrates the statistical modelling power of deep models.
Hope to see many of you there, Best, Razvan
Kind reminder of Hugo's talk tomorrow.
Razvan
Hi all,
This Tuesday, 19th November, Hugo Larochelle is visiting our lab and is going to give a talk. The time is 10:30 AM, place is Z300, pavilion McNicoll.
Title: Deep Learning for Distribution Estimation Abstract::
In this talk, I will present my recent research on using neural networks for the task of distribution/density estimation, a fundamental problem in machine learning. Specifically, I will discuss the neural autoregressive distribution estimator (NADE), a state-of-the-art estimator of the probability distribution of data along with its various extensions. I will also describe a recent deep version of NADE, which again illustrates the statistical modelling power of deep models.
Hope to see many of you there, Best, Razvan
lisa_seminaires@iro.umontreal.ca