Source: https://raweb.inria.fr/rapportsactivite/RA2017/galen/bibliography.html
Timestamp: 2019-04-23 02:33:38+00:00

Document:
Algorithmes de majoration-minimisation. Application aux problèmes inverses de grande taille en signal/image, Université Paris Est - Marne-la-Vallée, December 2017, Habilitation à diriger des recherches.
Deformable Group-wise Image Registration for Motion Estimation in 4D Medical Imaging , Ecole Centrale Paris, June 2017.
Computational methods towards image-based biomarkers and beyond, Université Paris-Est, March 2017, Habilitation à diriger des recherches.
F. Abboud, E. Chouzenoux, J.-C. Pesquet, J.-H. Chenot, L. Laborelli.
S. Alchatzidis, A. Sotiras, E. I. Zacharaki, N. Paragios.
S. Amidi, A. Amidi, D. Vlachakis, N. Paragios, E. I. Zacharaki.
A. Cherni, E. Chouzenoux, M.-A. Delsuc.
V. G. Kanas, E. I. Zacharaki, G. A. Thomas, P. O. Zinn, V. Megalooikonomou, R. R. Colen.
E. J. Limkin, R. Sun, L. Dercle, E. I. Zacharaki, C. Robert, S. Reuzé, A. Schernberg, N. Paragios, E. Deutsch, C. Ferté.
Y. Marnissi, Y. Zheng, E. Chouzenoux, J.-C. Pesquet.
E. Pippa, V. G. Kanas, E. I. Zacharaki, V. Tsirka, M. Koutroumanidis, V. Megalooikonomou.
EEG-based Classification of Epileptic and Non-epileptic Events using Multi-array Decomposition, in: International Journal of Monitoring and Surveillance Technologies Research, January 2017.
E. Pippa, E. I. Zacharaki, M. Koutroumanidis, V. Megalooikonomou.
A. Pirayre, C. Couprie, L. Duval, J.-C. Pesquet.
BRANE Clust: Cluster-Assisted Gene Regulatory Network Inference Refinement, in: IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2017, forthcoming.
R. Sun, E. J. Limkin, L. Dercle, S. Reuzé, E. I. Zacharaki, C. Chargari, A. Schernberg, A.-S. Dirand, A. Alexis, N. Paragios, E. Deutsch, C. Ferté, C. Robert.
E. B. Belilovsky, K. Kastner, G. Varoquaux, M. B. Blaschko.
Learning to Discover Sparse Graphical Models, in: International Conference on Machine Learning, Sydney, Australia, August 2017, https://arxiv.org/abs/1605.06359.
G. Chierchia, A. Cherni, E. Chouzenoux, J.-C. Pesquet.
Approche de Douglas-Rachford aléatoire par blocs appliquée à la régression logistique parcimonieuse, in: GRETSI 2017, Juan les Pins, France, Actes du 26e colloque GRETSI, September 2017, pp. 1-4.
E. Ferrante, P. K. Dokania, R. Marini, N. Paragios.
Deformable Registration through Learning of Context-Specific Metric Aggregation, in: Machine Learning in Medical Imaging Worlshop. MLMI (MICCAI 2017), Quebec City, Canada, September 2017, https://arxiv.org/abs/1707.06263 - Accepted for publication in the 8th International Workshop on Machine Learning in Medical Imaging (MLMI 2017), in conjunction with MICCAI 2017.
R. A. Guler, G. Trigeorgis, E. Antonakos, P. Snape, S. Zafeiriou, I. Kokkinos.
DenseReg: Fully Convolutional Dense Shape Regression In-the-Wild, in: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, United States, IEEE, CVF, July 2017, pp. 6799-6808, https://arxiv.org/abs/1612.01202.
H. Kannan, N. Komodakis, N. Paragios.
Newton-type Methods for Inference in Higher-Order Markov Random Fields, in: IEEE International Conference on Computer Vision and Pattern Recognition, Honolulu, United States, July 2017, pp. 7224 - 7233.
D. K. Lê-Huu, N. Paragios.
Alternating Direction Graph Matching, in: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Honolulu, United States, July 2017, https://arxiv.org/abs/1611.07583.
E. Oyallon, E. Belilovsky, S. Zagoruyko.
Scaling the Scattering Transform: Deep Hybrid Networks, in: International Conference on Computer Vision (ICCV), Venice, Italy, October 2017, https://arxiv.org/abs/1703.08961.
A. Benfenati, E. Chouzenoux, J.-C. Pesquet.
A Proximal Approach for Solving Matrix Optimization Problems Involving a Bregman Divergence, in: BASP 2017 - International Biomedical and Astronomical Signal Processing Frontiers workshop, villars-sur-oulon, Switzerland, January 2017.
S. Cadoni, E. Chouzenoux, J.-C. Pesquet, C. Chaux.
A Block Parallel Majorize-Minimize Memory Gradient Algorithm, in: BASP 2017 - International Biomedical and Astronomical Signal Processing Frontiers workshop, Villars-sur-Oulon, Switzerland, January 2017, 1 p.
V. Dudar, G. Chierchia, E. Chouzenoux, J.-C. Pesquet, V. V. Semenov.
A Two-Stage Subspace Trust Region Approach for Deep Neural Network Training, in: 25th European Signal Processing Conference (EUSIPCO 2017), Kos Island, Greece, August 2017.
Q. Wei, E. Chouzenoux, J.-Y. Tourneret, J.-C. Pesquet.
A Fast Algorithm Based on a Sylvester-like Equation for LS Regression with GMRF Prior, in: CAMSAP 2017- IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, Curaçao, Netherlands Antilles, December 2017.
S. Chandra, N. Usunier, I. Kokkinos.
Dense and Low-Rank Gaussian CRFs Using Deep Embeddings, in: ICCV 2017 - International Conference on Computer Vision, Venice, Italy, September 2017.
An Alternating Proximal Approach for Blind Video Deconvolution, December 2017, working paper or preprint.
A. Benfenati †, E. Chouzenoux, J.-C. Pesquet.
A proximal approach for a class of matrix optimization problems, December 2017, working paper or preprint.
L. Briceño-Arias, G. Chierchia, E. Chouzenoux, J.-C. Pesquet.
A Random Block-Coordinate Douglas-Rachford Splitting Method with Low Computational Complexity for Binary Logistic Regression, December 2017, working paper or preprint.
Y. Marnissi, E. Chouzenoux, A. Benazza-Benyahia, J.-C. Pesquet.
An Auxiliary Variable Method for MCMC Algorithms in High Dimension, December 2017, working paper or preprint.
The Lovász Hinge: A Novel Convex Surrogate for Submodular Losses, May 2017, working paper or preprint.
Y. Zheng, A. Pirayre, L. Duval, J.-C. Pesquet.
Joint restoration/segmentation of multicomponent images with variationalBayes and higher-order graphical models (HOGMep), May 2017, working paper or preprint.

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