Laurent Condat

Affiliations:
  • Grenoble Institute of Technology, France


According to our database1, Laurent Condat authored at least 86 papers between 2005 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Proximal Splitting Algorithms for Convex Optimization: A Tour of Recent Advances, with New Twists.
SIAM Rev., May, 2023

Joint Demosaicing and Fusion of Multiresolution Coded Acquisitions: A Unified Image Formation and Reconstruction Method.
IEEE Trans. Computational Imaging, 2023

RandCom: Random Communication Skipping Method for Decentralized Stochastic Optimization.
CoRR, 2023

Near-Linear Time Projection onto the 𝓁<sub>1, ∞</sub> Ball; Application to Sparse Autoencoders.
CoRR, 2023

Explicit Personalization and Local Training: Double Communication Acceleration in Federated Learning.
CoRR, 2023

TAMUNA: Accelerated Federated Learning with Local Training and Partial Participation.
CoRR, 2023

RandProx: Primal-Dual Optimization Algorithms with Randomized Proximal Updates.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Tikhonov Regularization of Circle-Valued Signals.
IEEE Trans. Signal Process., 2022

Dualize, Split, Randomize: Toward Fast Nonsmooth Optimization Algorithms.
J. Optim. Theory Appl., 2022

Provably Doubly Accelerated Federated Learning: The First Theoretically Successful Combination of Local Training and Compressed Communication.
CoRR, 2022

EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

MURANA: A Generic Framework for Stochastic Variance-Reduced Optimization.
Proceedings of the Mathematical and Scientific Machine Learning, 2022

An Optimal Algorithm for Strongly Convex Minimization under Affine Constraints.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Multiclass Dictionary-Based Statistical Iterative Reconstruction for Low-Dose CT.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2021

2020
Semi-Linearized Proximal Alternating Minimization for a Discrete Mumford-Shah Model.
IEEE Trans. Image Process., 2020

Real-Time Dual-Wavelength Time-Resolved Diffuse Optical Tomography System for Functional Brain Imaging Based on Probe-Hosted Silicon Photomultipliers.
Sensors, 2020

Atomic norm minimization for decomposition into complex exponentials and optimal transport in Fourier domain.
J. Approx. Theory, 2020

Optimal Gradient Compression for Distributed and Federated Learning.
CoRR, 2020

Distributed Proximal Splitting Algorithms with Rates and Acceleration.
CoRR, 2020

Dualize, Split, Randomize: Fast Nonsmooth Optimization Algorithms.
CoRR, 2020

From Local SGD to Local Fixed-Point Methods for Federated Learning.
Proceedings of the 37th International Conference on Machine Learning, 2020

Tree of Shapes Cut for Material Segmentation Guided by a Design.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
A Convex Approach to Superresolution and Regularization of Lines in Images.
SIAM J. Imaging Sci., 2019

One-dimensional Edge-preserving Spline Smoothing for Estimation of Piecewise Smooth Functions.
Proceedings of the IEEE International Conference on Acoustics, 2019

A Convex Lifting Approach to Image Phase Unwrapping.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Distributed Projection on the Simplex and ℓ<sub>1</sub> Ball via ADMM and Gossip.
IEEE Signal Process. Lett., 2018

Image Fusion and Reconstruction of Compressed Data: A Joint Approach.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

A New Proximal Method for Joint Image Restoration and Edge Detection with the Mumford-Shah Model.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Proximity Operator of a Sum of Functions; Application to Depth Map Estimation.
IEEE Signal Process. Lett., 2017

Discrete Total Variation: New Definition and Minimization.
SIAM J. Imaging Sci., 2017

Collaborative total variation for hyperspectral pansharpening.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

Robust linear unmixing with enhanced sparsity.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Hyperspectral image inpainting based on collaborative total variation.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

A Convex Approach to K-Means Clustering and Image Segmentation.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2017

2016
On-The-Fly Approximation of Multivariate Total Variation Minimization.
IEEE Trans. Signal Process., 2016

Fast projection onto the simplex and the <i>l</i><sub>1</sub> ball.
Math. Program., 2016

Hyperspectral pansharpening using convex optimization and collaborative total variation regularization.
Proceedings of the 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2016

Multifractal-based texture segmentation using variational procedure.
Proceedings of the IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop, 2016

Convex super-resolution detection of lines in images.
Proceedings of the 24th European Signal Processing Conference, 2016

Sequential image completion for high-speed large-pixel number sensing.
Proceedings of the 24th European Signal Processing Conference, 2016

2015
Pixel enlargement in high-speed camera image acquisition based on 3D sparse representations.
Proceedings of the 2015 IEEE Workshop on Signal Processing Systems, 2015

Super-resolution of positive spikes by Toeplitz low-rank approximation.
Proceedings of the 23rd European Signal Processing Conference, 2015

Improvement of pixel enhancement algorithm for high-speed camera imaging using 3D sparsity.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2015

2014
2D Prony-Huang Transform: A New Tool for 2D Spectral Analysis.
IEEE Trans. Image Process., 2014

A New Pansharpening Method Based on Spatial and Spectral Sparsity Priors.
IEEE Trans. Image Process., 2014

A Generic Proximal Algorithm for Convex Optimization - Application to Total Variation Minimization.
IEEE Signal Process. Lett., 2014

A 2-D spectral analysis method to estimate the modulation parameters in structured illumination microscopy.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Non-smooth convex optimization for an efficient reconstruction in structured illumination microscopy.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

Texture modeling by Gaussian fields with prescribed local orientation.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

A forward-backward view of some primal-dual optimization methods in image recovery.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Semi-local total variation for regularization of inverse problems.
Proceedings of the 22nd European Signal Processing Conference, 2014

2013
A Direct Algorithm for 1-D Total Variation Denoising.
IEEE Signal Process. Lett., 2013

A Primal-Dual Splitting Method for Convex Optimization Involving Lipschitzian, Proximable and Linear Composite Terms.
J. Optim. Theory Appl., 2013

Sampling Signals with Finite Rate of Innovation and Recovery by Maximum Likelihood Estimation.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2013

Reconstruction from non-uniform samples: A direct, variational approach in shift-invariant spaces.
Digit. Signal Process., 2013

Sampling and recovery of continuous sparse signals by maximum likelihood estimation.
Proceedings of the IEEE International Conference on Acoustics, 2013

Recovery of nonuniformdirac pulses from noisy linear measurements.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Fusion of hyperspectral and panchromatic images using multiresolution analysis and nonlinear PCA band reduction.
EURASIP J. Adv. Signal Process., 2012

Pansharpening using total variation regularization.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Joint demosaicking and denoising by total variationminimization.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

2011
Quantitative Error Analysis for the Reconstruction of Derivatives.
IEEE Trans. Signal Process., 2011

A New Color Filter Array With Optimal Properties for Noiseless and Noisy Color Image Acquisition.
IEEE Trans. Image Process., 2011

Reconstruction of derivatives: Error analysis and design criteria.
Proceedings of the 19th European Signal Processing Conference, 2011

2010
Gradient Estimation Revitalized.
IEEE Trans. Vis. Comput. Graph., 2010

Color filter array design using random patterns with blue noise chromatic spectra.
Image Vis. Comput., 2010

A simple, fast and efficient approach to denoisaicking: Joint demosaicking and denoising.
Proceedings of the International Conference on Image Processing, 2010

2009
A generic variational approach for demosaicking from an arbitrary color filter array.
Proceedings of the International Conference on Image Processing, 2009

A new random color filter array with good spectral properties.
Proceedings of the International Conference on Image Processing, 2009

A new color filter array with optimal sensing properties.
Proceedings of the International Conference on Image Processing, 2009

2008
Reversible, Fast, and High-Quality Grid Conversions.
IEEE Trans. Image Process., 2008

Indusion: Fusion of Multispectral and Panchromatic Images Using the Induction Scaling Technique.
IEEE Geosci. Remote. Sens. Lett., 2008

New optimized spline functions for interpolation on the hexagonal lattice.
Proceedings of the International Conference on Image Processing, 2008

Fully reversible image rotation by 1-D filtering.
Proceedings of the International Conference on Image Processing, 2008

A study on interlaced sampling with unknown offsets.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

2007
Quasi-Interpolating Spline Models for Hexagonally-Sampled Data.
IEEE Trans. Image Process., 2007

Pan-sharpening using induction.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007

A Compact Image Magnification Method with Preservation of Preferential Components.
Proceedings of the International Conference on Image Processing, 2007

H2O: Reversible Hexagonal-Orthogonal Grid Conversion by 1-D Filtering.
Proceedings of the International Conference on Image Processing, 2007

Torwards a general formulation for over-sampling and under-sampling.
Proceedings of the 15th European Signal Processing Conference, 2007

2006
Méthodes d'approximation pour la reconstruction de signaux et le redimensionnement d'images. (Approximation methods for signal reconstruction and image resizing).
PhD thesis, 2006

Three-directional box-splines: characterization and efficient evaluation.
IEEE Signal Process. Lett., 2006

Efficient Reconstruction of Hexagonally Sampled Data using Three-Directional Box-Splines.
Proceedings of the International Conference on Image Processing, 2006

Fast reconstruction from non-uniform samples in shift-invariant spaces.
Proceedings of the 14th European Signal Processing Conference, 2006

2005
Hexagonal versus orthogonal lattices: a new comparison using approximation theory.
Proceedings of the 2005 International Conference on Image Processing, 2005

Beyond interpolation: optimal reconstruction by quasi-interpolation.
Proceedings of the 2005 International Conference on Image Processing, 2005

A Framework for Image Magnification: Induction Revisited.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005


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