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<!DOCTYPE html >
<html >
<head>
<title>Hugo Larochelle</title>
<meta http-equiv="content-type" content="text/html; charset=iso-8859-1" />
<link rel="stylesheet"
href="http://fonts.googleapis.com/css?family=Droid+Sans:regular,bold"
type="text/css" />
<link rel="stylesheet" href="css/2.css" type="text/css" media="screen,projection" />
</head>
<body>
<div id="wrapper">
<div id="innerwrapper">
<div id="header">
<div id="header-text">
Hugo Larochelle
<!-- <h1 id="header-right"></h1>-->
<ul id="nav">
<li><a href="index_en.html" accesskey="H" class="active"><em>H</em>ome</a></li>
<li><a href="publications_en.html" accesskey="p"><em>P</em>ublications</a></li>
<li><a href="university_en.html" accesskey="u"><em>U</em>niversity</a></li>
<li><a href="links_en.html" accesskey="l"><em>L</em>inks</a></li>
<li><a href="index_fr.html" accesskey="f"><em>F</em>rench</a></li>
</ul>
</div>
</div>
<div id="sidebar">
<h2>Recent stuff</h2>
<!--
<table border="0" cellspacing="3" cellpadding="0" style="BORDER: #666 2px groove;" bgcolor="#DDD">
<td> <font color="#555">
<b>I'm looking for PhD and master students.</b> <br>
If you are interested in machine learning research,
please contact me for details.<br>
Learn about USherbrooke <a href="http://www.usherbrooke.ca/accueil/english/">here</a>.
</font>
</td>
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<br>
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<b> Joined Twitter as Research Scientist</b><br><br>
<b> Named Fellow of <a href="http://www.cifar.ca/">CIFAR</a>, in the <a href="http://www.cifar.ca/neural-computation-and-adaptive-perception">NCAP</a> program</b>
<br><br>
<b> Will be Area Chair for <a href="https://nips.cc/Conferences/current">NIPS 2016</a></b>
<br><br>
<b> Will be Area Chair for <a href="http://icml.cc/2016/">ICML 2016</a></b>
<br><br>
<b> Domain-Adversarial Training of Neural Networks [<a href="http://arxiv.org/abs/1505.07818">arxiv</a>] </b><br>
Yaroslav Ganin, Evgeniya Ustinova, Hana Ajakan, Pascal Germain, Hugo Larochelle, François Laviolette, Mario Marchand and Victor Lempitsky,<br>
to appear in JMLR, 2016<br><br>
<b> Correlational Neural Networks [<a href="http://www.mitpressjournals.org/doi/pdf/10.1162/NECO_a_00801">pdf</a>] </b><br>
Sarath Chandar, Mitesh M. Khapra, Hugo Larochelle and Balaraman Ravindran,<br>
Neural Computation, 2016<br><br>
<b> Describing Videos by Exploiting Temporal Structure [<a href="http://arxiv.org/abs/1502.08029">arxiv</a>] </b><br>
Li Yao, Atousa Torabi, Kyunghyun Cho, Nicolas Ballas, Christopher Pal, Hugo Larochelle and Aaron Courville,<br>
ICCV, 2015<br><br>
<b>A Deep and Autoregressive Approach for Topic Modeling of Multimodal Data [<a href="http://arxiv.org/abs/1409.3970" target=_top>arxiv</a>]</b><br>
Yin Zheng, Yu-Jin Zhang and Hugo Larochelle,<br>
TPAMI, 2015<br><br>
<a class="twitter-timeline" href="https://twitter.com/hugo_larochelle/timelines/639067398511968256" data-widget-id="643051810928914432">Notes on research papers</a>
<script>!function(d,s,id){var js,fjs=d.getElementsByTagName(s)[0],p=/^http:/.test(d.location)?'http':'https';if(!d.getElementById(id)){js=d.createElement(s);js.id=id;js.src=p+"://platform.twitter.com/widgets.js";fjs.parentNode.insertBefore(js,fjs);}}(document,"script","twitter-wjs");</script>
</div>
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<div id="sidebarright">
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<div id="contentnorightbar">
<table width="490" border="0" cellspacing="0" cellpadding="0" height="34">
<tr>
<td>
<b><font size=+1>Hugo Larochelle</font></b><br>
Research Scientist at Twitter<br>
Assistant Professor (on leave)<br>
<a href="http://www.usherbrooke.ca/informatique/">Département d'informatique</a><br>
<a href="http://www.usherbrooke.ca/">Université de
Sherbrooke</a><br><br>
<b>Email:</b> hugo[dot]larochelle[at]usherbrooke[dot]ca <br>
<b>Twitter:</b> <a href="https://twitter.com/hugo_larochelle">@hugo_larochelle</a><br>
<b>Phone:</b> (819) 821-8000 # 66121 <br>
<b>Fax:</b> (819) 821-8200 <br>
<b>Office:</b> D4-1024-1 <br>
<b>Address:</b> 2500 boul. de l'Université, Sherbrooke (QC), Canada, J1K 2R1
</td>
<td> <img src="images/photo-larocheh.jpg" WIDTH=120 align=top> </td>
</tr>
</table><br>
<h2>Research interests</h2> My research focuses
on <a href="http://en.wikipedia.org/wiki/Machine_learning">machine
learning</a>, i.e. in the development of algorithms
capable of extracting concepts and abstractions from data.
I'm particularly interested in deep neural networks,
mostly applied in the context of big data and to
artificial intelligence problems such as computer vision
and natural language processing.
<br><br>
More specifically, my research mainly addresses the following topics:
<br><br>
<ul>
<li> <b>Tasks:</b> supervised, semi-supervised and unsupervised learning,
structured output prediction, ranking, density estimation;
<li> <b>Models:</b> deep learning, neural networks, autoencoders,
Boltzmann machines, Markov random fields;
<li> <b>Applications:</b> object recognition and
tracking, document classification, information
retrieval;
</ul>
<h2> Students </h2>
<ul>
<li> Stanislas Lauly (Ph.D.)
<li> <a href="http://havaeimo.github.io/about">Mohammad Havaei</a> (Ph.D., co-supervised with <a href="http://www.dmi.usherb.ca/~jodoin/en/index.html">Pierre-Marc Jodoin</a>)
<li> <a href="http://marccote.github.io/">Marc-Alexandre Côté</a> (Ph.D., co-supervised with <a href="http://scil.dinf.usherbrooke.ca/?page_id=296&lang=en&langSwitched=1">Maxime Descoteaux</a>)
<li> <a href="http://adam.salvail.net">Adam Salvail-Bérard</a> (Ph.D., co-supervised with <a href="http://www.dmi.usherb.ca/~dussault/">Jean-Pierre Dussault</a>)
<li> <a href="http://www.sarathchandar.in">Sarath Chandar</a> (Ph.D., co-supervisé avec <a href="http://www.iro.umontreal.ca/~bengioy/yoshua_en/research.html">Yoshua Bengio</a>)
<li> Alex Boulanger (M.Sc.)
<li> Félix-Antoine Ouellet (M.Sc.)
<li> Philippe Poulin (M.Sc.)
<li> <a href="https://sites.google.com/site/zhengyin1126/">Yin Zheng</a> (Ph.D., co-supervised with <a href="http://oa.ee.tsinghua.edu.cn/~zhangyujin/">Yu-Jin Zhang</a>, graduated)
<li> Mathieu Germain (M.Sc., graduated)
</ul>
<!-- <h2>Research projects</h2>
Here is a short list of my current projects:
<br><br>
<ul>
<li> <b><a href="projects_attention.html">Attention-based computer vision:</a></b> development of
computer vision systems relying on attentional mechanisms;
<br><br>
<li> <b><a href="projects_deep_learning.html">Deep learning:</a></b> exploration of learning
procedures and algorithms to better train neural
networks with several hidden layers;
<br><br>
<li> <b><a href="projects_classrbm.html">Restricted Boltzmann machines for
classification:</a></b> investigation of variants of the
restricted Boltzmann machine that are more suitable
for classification problems in high dimensions
(images, documents, etc.);
<br><br>
<li> <b><a href="projects_struct_output.html">Learning algorithms for structured output
prediction:</a></b> development of new learning
algorithms for structured output prediction, with a
focus on energy-based models;
<br><br>
<li> <b><a href="projects_nade.html">Neural autoregressive models:</a></b> investigation of
neural network-based solutions to the modelling of the distribution
of high-dimensional data.
<br>
</ul>
<br>
-->
<h2> Mini-CV</h2>
Before joining the Computer Science department
of <a href="http://www.usherbrooke.ca/">Université de
Sherbrooke</a>, I spent two years in
the <a href="http://learning.cs.toronto.edu/">machine
learning group</a>
at <a href="http://www.utoronto.ca">University of
Toronto</a>, where I was a postdoctoral fellow under the supervision of
<a href="http://www.cs.toronto.edu/~hinton/">Geoffrey
Hinton</a>.
<br><br>
I obtained my Ph.D. in Computer Science at
<a href="http://www.umontreal.ca/">Université de
Montréal</a>, under the supervision of
professor <a href="http://www.iro.umontreal.ca/~bengioy">Yoshua
Bengio</a>. I also did my undergrad at Université de Montréal,
in Mathematics and Computer Science.
<br><br> My complete CV can be found
<a href="CV_en.pdf">here</a>.
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