◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Marc-Alexandre Côté

Microsoft

3 papers hereh-index 268.3k citations68 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • cs.LG1
  • cs.SC1
  • stat.ML1
affiliations
  • Microsoft

identity via Semantic Scholar / OpenAlex

most citedZ-Forcing: Training Stochastic Recurrent Networks

32 citations · 32 across the 1 of their papers we have counts for

collaborators

3 papers

stat.ML2017★ 32 cited

Z-Forcing: Training Stochastic Recurrent Networks

Anirudh Goyal, Alessandro Sordoni, Marc-Alexandre Côté +2

Many efforts have been devoted to training generative latent variable models with autoregressive decoders, such as recurrent neural networks (RNN). Stochastic recurrent models have…

cs.LG2016

Neural Autoregressive Distribution Estimation

Benigno Uria, Marc-Alexandre Côté, Karol Gregor +2

We present Neural Autoregressive Distribution Estimation (NADE) models, which are neural network architectures applied to the problem of unsupervised distribution and density estim…

cs.SC2016

Theano: A Python framework for fast computation of mathematical expressions

The Theano Development Team, Rami Al-Rfou, Guillaume Alain +110

Theano is a Python library that allows to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. Since its introduction, it has bee…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.