Disparity map estimation using a total variation bound

A minimax approach for mean square denoising

Proximal thresholding algorithm for minimization over orthonormal bases

Design of Robust Complex-Valued Feed-Forward Neural Networks

Wavelet-constrained stereo matching under photometric variations

Bayesian Inference in Wavelet Based Models

Etude du bruit dans une analyse $M$-bandes en arbre dual

Stochastic MM Subspace Algorithms

A Majorize-Minimize strategy for subspace optimization applied to image restoration

Would Your Tweet Invoke Hate on the Fly? Forecasting Hate Intensity of Reply Threads on Twitter

Deep latent factor model for collaborative filtering

Convergence Analysis of Block Majorize-Minimize Subspace Approach

A parallel block-coordinate approach for primal-dual splitting with arbitrary random block selection

Proximal Primal-Dual Optimization Methods

Solution of Mismatched Monotone+Lipschitz Inclusion Problems

Deep Convolutional Transform Learning

A Multi-Parameter Optimization Approach for Complex Continuous Sparse Modelling

A hybrid alternating proximal method for blind video restoration

Convergence Analysis of Block Majorize-Minimize Subspace Approach

A Random Block-Coordinate Primal-Dual Proximal Algorithm with Application to 3D Mesh Denoising

DeepVir, Graphical Deep Matrix Factorization for In Silico Antiviral Repositioning. Application to COVID19.

Antibiotic Bacteria Interaction: Dataset and Benchmarking

SABRINA: A Stochastic Subspace Majorization-Minimization Algorithm

A majorize-minimize strategy for subspace optimization applied to image restoration

Optimization Methods for Signal Processing

A Kurdyka-Lojasiewicz property for stochastic optimization algorithms in a non-convex setting

Graph Regularized Probabilistic Matrix Factorization for Drug-Drug Interactions Prediction

Transformed Subspace Clustering

Transformed Locally Linear Manifold Clustering

A Majorize-Minimize line search algorithm for barrier function optimization

Blind Kalman Filtering for Short-term Load Forecasting

Convergence Rate Analysis of the Majorize-Minimize Subspace Algorithm

Gradient-based Adaptive Importance Samplers

Cramer-Rao Bound for a Sparse Complex Model

A Stochastic Majorize-Minimize Subspace Algorithm for Online Penalized Least Squares Estimation

A Deep Learning Approach for Improved Segmentation of Lesions Related to Covid-19 Chest CT Scans

Deep State-Space Model for Predicting Cryptocurrency Price

Understanding needs in eco-design learning for novice designers

Utiliser des personas pour raconter la mobilité en 2030

Chaire Anthropolis - Une vision holistique de la mobilité urbaine

Conception d’un assistant bidirectionnel générique à base d’IA pour la supervision de réseaux et le pilotage d’aéronefs

Vers une intégration de la dimension environnementale dans les processus de conception externalisés

Proposal of an Eco-design Framework based on a Design Education Perspective

Accompagner une structure territoriale dans sa transition vers la durabilité, proposition d'une architecture méthodologique

Using the low-tech concept to create scenarios: an analysis of its potential to design for sustainable urban future

Co-Creating Sustainable Urban Futures: An initial Taxonomy of Methods and Tools

Seeking emotions in mobility experience elicitation: A Singapore-France comparison

Un cadre basé sur les scénarios du futur au service de la simulation multi-agents de la mobilité urbaine de demain

Stimulating usage problem generation: An urban mobility case study

Cette université est-elle durable ? Contribution des sciences des réseaux à une cartographie du complexe