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Texture Modeling with Convolutional Spike-and-Slab RBMs and Deep Extensions [article]

Heng Luo, Pierre Luc Carrier, Aaron Courville, Yoshua Bengio
2012 arXiv   pre-print
We apply the spike-and-slab Restricted Boltzmann Machine (ssRBM) to texture modeling. The ssRBM with tiled-convolution weight sharing (TssRBM) achieves or surpasses the state-of-the-art on texture synthesis and inpainting by parametric models. We also develop a novel RBM model with a spike-and-slab visible layer and binary variables in the hidden layer. This model is designed to be stacked on top of the TssRBM. We show the resulting deep belief network (DBN) is a powerful generative model that
more » ... mproves on single-layer models and is capable of modeling not only single high-resolution and challenging textures but also multiple textures.
arXiv:1211.5687v1 fatcat:bszpohc2cjc7rjk5kl2xoayh4u

Altered White Matter Architecture in BDNF Met Carriers

Erik Ziegler, Ariane Foret, Laura Mascetti, Vincenzo Muto, Anahita Le Bourdiec-Shaffii, Johan Stender, Evelyne Balteau, Vinciane Dideberg, Vincent Bours, Pierre Maquet, Christophe Phillips, Jean-Luc Gaiarsa
2013 PLoS ONE  
We propose that the decreased availability of BDNF leads to deficits in axonal maintenance in carriers of the Met allele, and that this produces mesoscale changes in white matter architecture.  ...  In Met carriers structural connectivity was greatly increased throughout the forebrain, particularly in connections corresponding to the anterior and superior corona radiata as well as corticothalamic  ...  Fig. 1b shows the mean number of tracks for the 96 edges that were only present in the Met carriers. The connections unique to Met carriers appeared consistently across the group.  ... 
doi:10.1371/journal.pone.0069290 pmid:23935975 pmcid:PMC3729843 fatcat:yqh7cq4w7ffk7g7je5vap3sclq

Diet Networks: Thin Parameters for Fat Genomics [article]

Adriana Romero, Pierre Luc Carrier, Akram Erraqabi, Tristan Sylvain, Alex Auvolat, Etienne Dejoie, Marc-André Legault, Marie-Pierre Dubé, Julie G. Hussin, Yoshua Bengio
2017 arXiv   pre-print
on how to download this pre-processed dataset directly, please email Adriana Romero or Pierre Luc Carrier.  ... 
arXiv:1611.09340v3 fatcat:4ifmgypob5cw7mj2liksjiwl4y

La personnalisation des services de santé mentale : une voie d'avenir

Paul Morin, Pierre-Luc Bossé, Sébastien Carrier, Suzanne Garon, Annie Lambert
2015 Santé mentale au Québec  
Vues d'en bas, Recension de Pierre Bourdieu (dir.) La misère du monde, Le Monde, 26 février. Bason, C. (2010).  ...  prototype québécois À la lumière d'un travail de recension exhaustive des écrits portant sur la personnalisation des services au Royaume-Uni, de même que sur les politiques et les outils en découlant (Carrier  ... 
doi:10.7202/1032387ar fatcat:ymjvdmdbqrbghevoovivvnz4eu

Personalisation in mental health: a promising way
La personnalisation des services de santé mentale : une voie d'avenir

Paul Morin, Pierre-Luc Bossé, Sébastien Carrier, Suzanne Garon, Annie Lambert
2015 Santé mentale au Québec  
Vues d'en bas, Recension de Pierre Bourdieu (dir.) La misère du monde, Le Monde, 26 février. Bason, C. (2010).  ...  ., Carrier, S., Garon, S. & Lambert, A. (2015) . La personnalisation des services de santé mentale : une voie d'avenir.  ... 
pmid:26355484 fatcat:okxvry6l5nadrdwk3xullrnzue

Palaeoenvironment and dating of the Early Acheulean localities from the Somme River basin (Northern France): New discoveries from the High Terrace at Abbeville-Carrière Carpentier

Pierre Antoine, Marie-Hélène Moncel, Nicole Limondin-Lozouet, Jean-Luc Locht, Jean-Jacques Bahain, Davinia Moreno, Pierre Voinchet, Patrick Auguste, Emmanuelle Stoetzel, Julie Dabkowski, Silvia M. Bello, Simon A. Parfitt (+2 others)
2016 Quaternary Science Reviews  
In this context, new fieldwork has been undertaken in Abbeville at the Carrière Carpentier site, famous for its White Marl deposit attributed to the Cromerian and in the same terrace level where the former  ...  Acknowledgements The Carrière Carpentier fieldwork was supported by the ANR project (premAcheuSept), led by  ...  Carrière Carpentier Carrière Léon Moulin Quignon Vallonia enniensis Oxyloma elegans Succinella oblonga Cochlicopa cf. nitens (?)  ... 
doi:10.1016/j.quascirev.2016.07.035 fatcat:h6aaergd5fdhrk3oxojtnjykqq

COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing [article]

Prateek Gupta, Tegan Maharaj, Martin Weiss, Nasim Rahaman, Hannah Alsdurf, Abhinav Sharma, Nanor Minoyan, Soren Harnois-Leblanc, Victor Schmidt, Pierre-Luc St. Charles, Tristan Deleu, Andrew Williams (+17 others)
2020 arXiv   pre-print
The rapid global spread of COVID-19 has led to an unprecedented demand for effective methods to mitigate the spread of the disease, and various digital contact tracing (DCT) methods have emerged as a component of the solution. In order to make informed public health choices, there is a need for tools which allow evaluation and comparison of DCT methods. We introduce an agent-based compartmental simulator we call COVI-AgentSim, integrating detailed consideration of virology, disease progression,
more » ... social contact networks, and mobility patterns, based on parameters derived from empirical research. We verify by comparing to real data that COVI-AgentSim is able to reproduce realistic COVID-19 spread dynamics, and perform a sensitivity analysis to verify that the relative performance of contact tracing methods are consistent across a range of settings. We use COVI-AgentSim to perform cost-benefit analyses comparing no DCT to: 1) standard binary contact tracing (BCT) that assigns binary recommendations based on binary test results; and 2) a rule-based method for feature-based contact tracing (FCT) that assigns a graded level of recommendation based on diverse individual features. We find all DCT methods consistently reduce the spread of the disease, and that the advantage of FCT over BCT is maintained over a wide range of adoption rates. Feature-based methods of contact tracing avert more disability-adjusted life years (DALYs) per socioeconomic cost (measured by productive hours lost). Our results suggest any DCT method can help save lives, support re-opening of economies, and prevent second-wave outbreaks, and that FCT methods are a promising direction for enriching BCT using self-reported symptoms, yielding earlier warning signals and a significantly reduced spread of the virus per socioeconomic cost.
arXiv:2010.16004v1 fatcat:qd7wpf6qwzcm3myqcoocmc467e

Inverse Reinforcement Learning [chapter]

Paul E. Utgoff, James Cussens, Stefan Kramer, Sanjay Jain, Frank Stephan, Luc De Raedt, Ljupčo Todorovski, Pierre Flener, Ute Schmid, Ricardo Vilalta, Christophe Giraud-Carrier, Pavel Brazdil (+5 others)
2011 Encyclopedia of Machine Learning  
doi:10.1007/978-0-387-30164-8_417 fatcat:mlvcjnnapzdoxarebd6qcjfq5a

Inductive Logic Programming [chapter]

Paul E. Utgoff, James Cussens, Stefan Kramer, Sanjay Jain, Frank Stephan, Luc De Raedt, Ljupčo Todorovski, Pierre Flener, Ute Schmid, Ricardo Vilalta, Christophe Giraud-Carrier, Pavel Brazdil (+5 others)
2011 Encyclopedia of Machine Learning  
Definition Inductive logic programming is the subfield of machine learning that uses first order logic to represent hypotheses and data. Because first order logic is expressive and declarative, inductive logic programming specfically targets problems involving structured data and background knowledge. Inductive logic programming tackles a wide variety of problems in machine learning, including classification, regression, clustering, and reinforcement learning, often using "upgrades" of existing
more » ... propositional machine learning systems, It relies on logic for knowledge representation and reasoning purposes. Notions of coverage, generality, and operators for traversing the space of hypotheses are grounded in logic, see also the logic of generality. Inductive logic programming systems have been applied to important applications in bio-and chemo-informatics, natural language processing, and web mining.
doi:10.1007/978-0-387-30164-8_396 fatcat:oxccc5iaujcq5noaa6wa6glrhy

Effects of intraoperative hemodynamic management on postoperative acute kidney injury in liver transplantation: An observational cohort study

François Martin Carrier, Marie-Pierre Sylvestre, Luc Massicotte, Marc Bilodeau, Michaël Chassé, Ehab Farag
2020 PLoS ONE  
Intraoperative restrictive fluid management strategies might improve postoperative outcomes in liver transplantation. Effects of vasopressors within any hemodynamic management strategy are unclear. We conducted an observational cohort study on adult liver transplant recipients between July 2008 and December 2017. We measured the effect of vasopressors infused at admission in the intensive care unit (ICU) and total intraoperative fluid balance. Our primary outcome was 48-hour acute kidney injury
more » ... (AKI) and our secondary outcomes were 7-day AKI, need for postoperative renal replacement therapy (RRT), time to extubation in the ICU, time to ICU discharge and survival up to 1 year. We fitted models adjusted for confounders using generalized estimating equations or survival models using robust standard errors. We reported results with 95% confidence intervals. We included 532 patients. Vasopressors use was not associated with 48-hour or 7-day AKI but modified the effects of fluid balance on RRT and mortality. A higher fluid balance was associated with a higher need for RRT (OR = 1.52 [1.15, 2.01], p<0.001 for interaction) and lower survival (HR = 1.71 [1.26, 2.34], p<0.01 for interaction) only among patients without vasopressors. In patients with vasopressors, higher doses of vasopressors were associated with a higher mortality (HR = 1.29 [1.13, 1.49] per 10 μg/min of norepinephrine). The presence of any vasopressor at the end of surgery was not associated with AKI or RRT. The use of vasopressors might modify the harmful association between fluid balance and other postoperative outcomes. The liberal use of vasopressors to implement a restrictive fluid management strategy deserves further investigation.
doi:10.1371/journal.pone.0237503 pmid:32810154 fatcat:bqig2qy2urdtjnk6bueqfr5hfm

Apathy in Parkinson's disease is associated with nucleus accumbens atrophy: A magnetic resonance imaging shape analysis

Nicolas Carriere, Pierre Besson, Kathy Dujardin, Alain Duhamel, Luc Defebvre, Christine Delmaire, David Devos
2014 Movement Disorders  
Os autores investigaram a base estrutural da apatia em doença de Parkinson (DP), através do uso de técnicas de neuroimagem. Eles estudaram 10 controles saudáveis, 10 portadores de DP sem apatia e 10 pacientes com DP e apatia resistente à terapia dopaminérgica. Eles estudaram a forma do núcleo accumbens com uma técnica de ressonância magnética chamada SPHARM-PDM (parametrização harmônica esférica e exemplificação em um modelo tridimensional de distribuição de pontos), bem como avaliação de
more » ... ura cortical e anisotropia fraccional. Os resultados com SPHARM-PDM mostraram que em pacientes com DP e apatia há atrofia do núcleo accumbens à esquerda além de haver maior atrofia da porção dorsolateral da cabeça do núcleo caudado esquerdo. As duas demais técnicas de neuroimagem não revelaram diferenças entre os grupos estudados. Os autores admites que o número de indivíduos estudados é pequeno pois os critérios de inclusão na pesquisa foram muito rigorosos. Apesar disto, a metodologia é muito rigorosa e indica que o corpo estriado ventral está comprometido estruturalmente na DP, resultando em apatia. Deve-se frisar, por fim, que apatia em DP parece ser multifatorial: uma parcela dos pacientes tem quadro depressivo associado, em outro grupo este achado coexiste com demência e, por fim, numa fração isto ocorre isoladamente. Caso não haja resposta à
doi:10.1002/mds.25904 pmid:24817690 fatcat:72kyvajftjaslccibjyzdf3s2i

cFos Mediates cAMP-Dependent Generation of ROS and Rescue of Maturation Program in Retinoid-Resistant Acute Promyelocytic Leukemia Cell Line NB4-LR1

Jean-Luc Carrier, Pasha Javadi, Emilie Bourrier, Céline Camus, Evelyne Ségal-Bendirdjian, Aïda Karniguian, Pierre Bobé
2012 PLoS ONE  
A determining role has been assigned to cAMP in the signaling pathways that relieve resistance to anti-leukemia differentiation therapy. However, the underlying mechanisms have not been elucidated yet. Here, we identify cFos as a critical cAMP effector, able to regulate the re-expression and splicing of epigenetically silenced genes associated with maturation (CD44) in retinoid-resistant NB4-LR1 leukemia cells. Furthermore, using RNA interference approach, we show that cFos mediates
more » ... ROS generation, a critical mediator of neutrophil maturation, and in fine differentiation. This study highlights some of the mechanisms by which cAMP acts to overcome resistance, and reveals a new alternative cFos-dependent pathway which, though nonexistent in retinoid-sensitive NB4 cells, is essential to rescue the maturation program of resistant cells.
doi:10.1371/journal.pone.0050408 pmid:23209736 pmcid:PMC3508928 fatcat:tfrp6ofi5rhwxftonwibzmkz2m

Combining modality specific deep neural networks for emotion recognition in video

Samira Ebrahimi Kanou, Raul Chandias Ferrari, Mehdi Mirza, Sébastien Jean, Pierre-Luc Carrier, Yann Dauphin, Nicolas Boulanger-Lewandowski, Abhishek Aggarwal, Jeremie Zumer, Pascal Lamblin, Jean-Philippe Raymond, Christopher Pal (+15 others)
2013 Proceedings of the 15th ACM on International conference on multimodal interaction - ICMI '13  
In this paper we present the techniques used for the University of Montréal's team submissions to the 2013 Emotion Recognition in the Wild Challenge. The challenge is to classify the emotions expressed by the primary human subject in short video clips extracted from feature length movies. This involves the analysis of video clips of acted scenes lasting approximately one-two seconds, including the audio track which may contain human voices as well as background music. Our approach combines
more » ... ple deep neural networks for different data modalities, including: (1) a deep convolutional neural network for the analysis of facial expressions within video frames; (2) a deep belief net to capture audio information; (3) a deep autoencoder to model the spatiotemporal information produced by the human actions depicted within the entire scene; and (4) a shallow network architecture focused on extracted features of the mouth of the primary human subject in the scene. We discuss each of these techniques, their performance characteristics and different strategies to aggregate their predictions. Our best single model was a convolutional neural network trained to predict emotions from static frames using two large data sets, the Toronto Face Database and our own set of faces images harvested from Google image search, followed by a per frame aggregation strategy that used the challenge training data. This yielded a test set accuracy of 35.58%. Using our best strategy for aggregating our top performing models into a single predictor we were able to produce an accuracy of 41.03% on the challenge test set. These compare favorably to the challenge baseline test set accuracy of 27.56%.
doi:10.1145/2522848.2531745 dblp:conf/icmi/KanouPBFGMVCBFMJCDBAZLRDPWTSBKW13 fatcat:oejeo64eibafpbbmktje5uikci

Challenges in Representation Learning: A report on three machine learning contests [article]

Ian J. Goodfellow, Dumitru Erhan, Pierre Luc Carrier, Aaron Courville, Mehdi Mirza, Ben Hamner, Will Cukierski, Yichuan Tang, David Thaler, Dong-Hyun Lee, Yingbo Zhou, Chetan Ramaiah, Fangxiang Feng, Ruifan Li, Xiaojie Wang (+13 others)
2013 arXiv   pre-print
FER-2013 was created by Pierre Luc Carrier and Aaron Courville. It is part of a larger ongoing project.  ... 
arXiv:1307.0414v1 fatcat:fqzsuab2vngi3lgwgjqvtruk4u

Evaluating and Optimizing the NERSC Workload on Knights Landing

Taylor Barnes, Brandon Cook, Jack Deslippe, Douglas Doerfler, Brian Friesen, Yun He, Thorsten Kurth, Tuomas Koskela, Mathieu Lobet, Tareq Malas, Leonid Oliker, Andrey Ovsyannikov (+10 others)
2016 2016 7th International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems (PMBS)  
NERSC has partnered with 20 representative application teams to evaluate performance on the Xeon-Phi Knights Landing architecture and develop an application-optimization strategy for the greater NERSC workload on the recently installed Cori system. In this article, we present early case studies and summarized results from a subset of the 20 applications highlighting the impact of important architecture differences between the Xeon-Phi and traditional Xeon processors. We summarize the status of
more » ... he applications and describe the greater optimization strategy that has formed.
doi:10.1109/pmbs.2016.010 dblp:conf/sc/BarnesCDDFHKKLM16 fatcat:a5mvtzldincrpjtzeft6qlydyq
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