Thierry Artières

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All published works
Action Title Year Authors
+ PDF Chat Hierarchical novel class discovery for single-cell transcriptomic profiles 2024 Malek Senoussi
Thierry Artières
Paul Villoutreix
+ Implicit Regularization in Deep Tucker Factorization: Low-Rankness via Structured Sparsity 2024 Kais Hariz
Hachem Kadri
Stéphane Ayache
Maher Moakher
Thierry Artières
+ DP-Net: Learning Discriminative Parts for Image Recognition 2023 Ronan Sicre
Han Zhang
J. Dejasmin
Chiheb Daaloul
Stéphane Ayache
Thierry Artières
+ PDF Chat Implicit Regularization with Polynomial Growth in Deep Tensor Factorization 2022 Kais Hariz
Hachem Kadri
Stéphane Ayache
Maher Moakher
Thierry Artières
+ Implicit Regularization with Polynomial Growth in Deep Tensor Factorization 2022 Kais Hariz
Hachem Kadri
Stéphane Ayache
Mahzer Moakher
Thierry Artières
+ PDF Chat PSM-nets: Compressing Neural Networks with Product of Sparse Matrices 2021 Luc Giffon
Stéphane Ayache
Hachem Kadri
Thierry Artières
Ronan Sicre
+ PDF Chat Implicit Regularization in Deep Tensor Factorization 2021 Paolo Milanesi
Hachem Kadri
Stéphane Ayache
Thierry Artières
+ Sparse matrix products for neural network compression 2021 Luc Giffon
Hachem Kadri
Stéphane Ayache
Ronan Sicre
Thierry Artières
+ PDF Chat Mapping individual differences in cortical architecture using multi-view representation learning 2020 Akrem Sellami
François-Xavier Dupé
Bastien Cagna
Hachem Kadri
Stéphane Ayache
Thierry Artières
Sylvain Takerkart
+ Mapping individual differences in cortical architecture using multi-view representation learning 2020 Akrem Sellami
François-Xavier Dupé
Bastien Cagna
Hachem Kadri
Stéphane Ayache
Thierry Artières
Sylvain Takerkart
+ Mapping individual differences in cortical architecture using multi-view representation learning 2020 Akrem Sellami
François-Xavier Dupé
Bastien Cagna
Hachem Kadri
Stéphane Ayache
Thierry Artières
Sylvain Takerkart
+ PDF Chat Deep Networks with Adaptive Nyström Approximation 2019 Luc Giffon
Stéphane Ayache
Thierry Artières
Hachem Kadri
+ Unsupervised Object Segmentation by Redrawing 2019 Mickaël Chen
Thierry Artières
Ludovic Denoyer
+ Deep Networks with Adaptive Nyström Approximation 2019 Luc Giffon
Stéphane Ayache
Thierry Artières
Hachem Kadri
+ A Meta-Learning Approach to One-Step Active Learning 2017 Gabriella Contardo
Ludovic Denoyer
Thierry Artières
+ Multi-View Data Generation Without View Supervision 2017 Mickaël Chen
Ludovic Denoyer
Thierry Artières
+ PDF Chat Sequential Cost-Sensitive Feature Acquisition 2016 Gabriella Contardo
Ludovic Denoyer
Thierry Artières
+ LSHTC: A Benchmark for Large-Scale Text Classification 2015 Ioannis Partalas
Aris Kosmopoulos
Nicolas Baskiotis
Thierry Artières
George Paliouras
Éric Gaussier
Ion Androutsopoulos
Massih-Réza Amini
Patrick Gallinari
+ Representation Learning for cold-start recommendation 2014 Gabriella Contardo
Ludovic Denoyer
Thierry Artières
+ Learning States Representations in POMDP 2013 Gabriella Contardo
Ludovic Denoyer
Thierry Artières
Patrick Gallinari
+ Méthode de Plans Sécants Régularisée pour l'Optimisation Non convexe : Annexe à l'article dans JMLR 2012 Trinh Minh Tri
Thierry Artières
+ Apprentissage rapide de SVM dans le primal 2008 Trinh Minh Tri
Thierry Artières
+ Apprentissage de mélanges de gaussiens par maximisation de la marge avec SMO 2007 Trinh Minh Tri
Thierry Artières
+ Un mélange de densités semi-markoviennes pour la classification de données biographiques 2005 Alexander Estacio-Moreno
Thierry Artières
Olivier Barbary
Marie Piron
Patrick Gallinari
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ Adam: A Method for Stochastic Optimization 2014 Diederik P. Kingma
Jimmy Ba
3
+ Unsupervised Multimodal Representation Learning across Medical Images and Reports 2018 Tzu-Ming Harry Hsu
Wei‐Hung Weng
Willie Boag
Matthew B. A. McDermott
Peter Szolovits
2
+ InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets 2016 Xi Chen
Yan Duan
Rein Houthooft
John Schulman
Ilya Sutskever
Pieter Abbeel
2
+ Very Deep Convolutional Networks for Large-Scale Image Recognition 2014 Karen Simonyan
Andrew Zisserman
2
+ Generalized high-dimensional trace regression via nuclear norm regularization 2019 Jianqing Fan
Wenyan Gong
Ziwei Zhu
2
+ Very Deep Convolutional Networks for Large-Scale Image Recognition 2014 Karen Simonyan
Andrew Zisserman
2
+ PDF Chat A Survey of Multi-View Representation Learning 2018 Yingming Li
Ming Yang
Zhongfei Zhang
2
+ TensorLy: tensor learning in python 2019 Jean Kossaifi
Yannis Panagakis
Anima Anandkumar
Maja Pantić
2
+ Nuclear-norm penalization and optimal rates for noisy low-rank matrix completion 2011 Vladimir Koltchinskii
Karim Lounici
Alexandre B. Tsybakov
2
+ Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks 2017 Jun-Yan Zhu
Taesung Park
Phillip Isola
Alexei A. Efros
2
+ Multimodal Representation Learning using Deep Multiset Canonical Correlation 2019 Krishna Somandepalli
Naveen Kumar
Ruchir Travadi
Shrikanth Narayanan
2
+ Trace regression model with simultaneously low rank and row(column) sparse parameter 2017 Junlong Zhao
Lu Niu
Shushi Zhan
2
+ Pattern Recognition and Machine Learning 2007 Christopher Bishop
2
+ Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm 1977 A. P. Dempster
N. M. Laird
Donald B. Rubin
2
+ PDF Chat A Multilinear Singular Value Decomposition 2000 Lieven De Lathauwer
Bart De Moor
Joos Vandewalle
1
+ Exploiting Linear Structure Within Convolutional Networks for Efficient Evaluation 2014 Emily Denton
Wojciech Zaremba
Joan Bruna
Yann LeCun
Rob Fergus
1
+ A scalable modular convex solver for regularized risk minimization 2007 Choon Hui Teo
Alex Smola
S. V. N. Vishwanathan
Quoc V. Le
1
+ Tensor-Train Decomposition 2011 Ivan Oseledets
1
+ PDF Chat Deformable part models are convolutional neural networks 2015 Ross Girshick
Forrest Iandola
Trevor Darrell
Jitendra Malik
1
+ PDF Chat Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification 2015 Kaiming He
Xiangyu Zhang
Shaoqing Ren
Jian Sun
1
+ Convex Analysis and Optimization 2003 Dimitri P. Bertsekas
Angelia Nedić
Asuman Ozdaglar
1
+ Convolutional Kernel Networks 2014 Julien Mairal
Piotr Koniusz
Zaïd Harchaoui
Cordelia Schmid
1
+ Conditional Generative Adversarial Nets 2014 Mehdi Mirza
Simon Osindero
1
+ Fast classification using sparse decision DAGs 2012 Djalel Benbouzid
Bal zs K gl
Róbert Busa‐Fekete
1
+ PDF Chat Low-Rank Matrix Approximation with Weights or Missing Data Is NP-Hard 2011 Nicolas Gillis
François Glineur
1
+ PDF Chat Representation Learning: A Review and New Perspectives 2013 Yoshua Bengio
Aaron Courville
P. M. Durai Raj Vincent
1
+ Tensor rank is NP-complete 1990 Johan Håstad
1
+ On the Properties of Neural Machine Translation: Encoder-Decoder Approaches 2014 Kyunghyun Cho
Bart van Merriënboer
Dzmitry Bahdanau
Yoshua Bengio
1
+ Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks 2015 Alec Radford
Luke Metz
Soumith Chintala
1
+ The Greedy Miser: Learning under Test-time Budgets 2012 Zhixiang Xu
Olivier Chapelle
Kilian Q. Weinberger
1
+ PDF Chat The application of two-level attention models in deep convolutional neural network for fine-grained image classification 2015 Tianjun Xiao
Yichong Xu
Kuiyuan Yang
Jiaxing Zhang
Yuxin Peng
Zheng Zhang
1
+ PDF Chat Cost-Sensitive Classification: Empirical Evaluation of a Hybrid Genetic Decision Tree Induction Algorithm 1995 Peter D. Turney
1
+ PDF Chat Structured Pruning of Deep Convolutional Neural Networks 2017 Sajid Anwar
Kyuyeon Hwang
Wonyong Sung
1
+ PDF Chat Gradient boosted feature selection 2014 Zhixiang Xu
Gao Huang
Kilian Q. Weinberger
Alice X. Zheng
1
+ PDF Chat Deep Learning Face Attributes in the Wild 2015 Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
1
+ PDF Chat Flexible Multilayer Sparse Approximations of Matrices and Applications 2016 Luc Le Magoarou
Rémi Gribonval
1
+ Gradient-based algorithms with applications to signal-recovery problems 2009 Amir Beck
Marc Teboulle
1
+ An inter-battery method of factor analysis 1958 Ledyard R Tucker
1
+ Censoring Representations with an Adversary 2015 Harrison Edwards
Amos Storkey
1
+ PDF Chat Learning Deep Features for Discriminative Localization 2016 Bolei Zhou
Aditya Khosla
Àgata Lapedriza
Aude Oliva
Antonio Torralba
1
+ Convex Optimization 2004 Stephen Boyd
Lieven Vandenberghe
1
+ Fully Convolutional Attention Localization Networks: Efficient Attention Localization for Fine-Grained Recognition 2016 Xiao Liu
Tian Xia
Jiang Wang
Yuanqing Lin
1
+ PDF Chat Hankel Matrix Nuclear Norm Regularized Tensor Completion for $N$-dimensional Exponential Signals 2017 Jiaxi Ying
Hengfa Lu
Qingtao Wei
Jian‐Feng Cai
Di Guo
Jihui Wu
Zhong Chen
Xiaobo Qu
1
+ PDF Chat Factor Matrix Trace Norm Minimization for Low-Rank Tensor Completion 2014 Yuanyuan Liu
Fanhua Shang
Hong Cheng
James Cheng
Hanghang Tong
1
+ An overview of gradient descent optimization algorithms 2016 Sebastian Ruder
1
+ Efficient tensor completion: Low-rank tensor train 2016 Ho N. Phien
Hoang Duong Tuan
Johann A. Bengua
N. Minh
1
+ A Learned Representation For Artistic Style 2016 Vincent Dumoulin
Jonathon Shlens
Manjunath Kudlur
1
+ Image-to-Image Translation with Conditional Adversarial Networks 2016 Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
1
+ Ultimate tensorization: compressing convolutional and FC layers alike. 2016 Timur Garipov
Dmitry Podoprikhin
Alexander Novikov
Dmitry Vetrov
1
+ PDF Chat Tensorizing Neural Networks 2015 Alexander Novikov
Dmitry Podoprikhin
Anton Osokin
Dmitry Vetrov
1