Laurent Condat

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 47

Top Venues

Grenoble Institute of Technology, France (PHD)

Education History

Grenoble Institute of Technology, France

PHD

Publications

Kai Yi, Georg Meinhardt, Laurent Condat, Peter Richtárik
FedComLoc: Communication-Efficient Distributed Training of Sparse and Quantized Models. CoRR (2024)
Georg Meinhardt, Kai Yi, Laurent Condat, Peter Richtárik
Prune at the Clients, Not the Server: Accelerated Sparse Training in Federated Learning. CoRR (2024)
Laurent Condat, Artavazd Maranjyan, Peter Richtárik
LoCoDL: Communication-Efficient Distributed Learning with Local Training and Compression. CoRR (2024)
Laurent Condat, Peter Richtárik
RandProx: Primal-Dual Optimization Algorithms with Randomized Proximal Updates. ICLR (2023)
Guillaume Perez, Laurent Condat, Michel Barlaud
Ball; Application to Sparse Autoencoders. CoRR (2023)
Laurent Condat, Daichi Kitahara, Andrés Contreras, Akira Hirabayashi
Proximal Splitting Algorithms for Convex Optimization: A Tour of Recent Advances, with New Twists. SIAM Rev. 65 (2) (2023)
Laurent Condat, Grigory Malinovsky, Peter Richtárik
TAMUNA: Accelerated Federated Learning with Local Training and Partial Participation. CoRR (2023)
Luyao Guo, Sulaiman A. Alghunaim, Kun Yuan, Laurent Condat, Jinde Cao
RandCom: Random Communication Skipping Method for Decentralized Stochastic Optimization. CoRR (2023)
Kai Yi, Laurent Condat, Peter Richtárik
Explicit Personalization and Local Training: Double Communication Acceleration in Federated Learning. CoRR (2023)
Daniele Picone, Mauro Dalla Mura, Laurent Condat
Joint Demosaicing and Fusion of Multiresolution Coded Acquisitions: A Unified Image Formation and Reconstruction Method. IEEE Trans. Computational Imaging 9 (2023)
Laurent Condat, Kai Yi, Peter Richtárik
EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization. CoRR (2022)
Adil Salim, Laurent Condat, Konstantin Mishchenko, Peter Richtárik
Dualize, Split, Randomize: Toward Fast Nonsmooth Optimization Algorithms. J. Optim. Theory Appl. 195 (1) (2022)
Laurent Condat, Peter Richtárik
MURANA: A Generic Framework for Stochastic Variance-Reduced Optimization. MSML (2022)
Laurent Condat, Kai Yi, Peter Richtárik
EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization. NeurIPS (2022)
Adil Salim, Laurent Condat, Dmitry Kovalev, Peter Richtárik
An Optimal Algorithm for Strongly Convex Minimization under Affine Constraints. AISTATS (2022)
Laurent Condat
Tikhonov Regularization of Circle-Valued Signals. IEEE Trans. Signal Process. 70 (2022)
Laurent Condat, Ivan Agarský, Peter Richtárik
Provably Doubly Accelerated Federated Learning: The First Theoretically Successful Combination of Local Training and Compressed Communication. CoRR (2022)
Laurent Condat, Peter Richtárik
MURANA: A Generic Framework for Stochastic Variance-Reduced Optimization. CoRR (2021)
Hiryu Kamoshita, Daichi Kitahara, Ken'ichi Fujimoto, Laurent Condat, Akira Hirabayashi
Multiclass Dictionary-Based Statistical Iterative Reconstruction for Low-Dose CT. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (4) (2021)
Laurent Condat
Tikhonov Regularization of Circle-Valued Signals. CoRR (2021)
Grigory Malinovsky, Dmitry Kovalev, Elnur Gasanov, Laurent Condat, Peter Richtárik
From Local SGD to Local Fixed Point Methods for Federated Learning. CoRR (2020)
Alyazeed Albasyoni, Mher Safaryan, Laurent Condat, Peter Richtárik
Optimal Gradient Compression for Distributed and Federated Learning. CoRR (2020)
Marion Foare, Nelly Pustelnik, Laurent Condat
Semi-Linearized Proximal Alternating Minimization for a Discrete Mumford-Shah Model. IEEE Trans. Image Process. 29 (2020)
Laurent Condat, Grigory Malinovsky, Peter Richtárik
Distributed Proximal Splitting Algorithms with Rates and Acceleration. CoRR (2020)
Julien Baderot, Michel Desvignes, Laurent Condat, Mauro Dalla Mura
Tree of Shapes Cut for Material Segmentation Guided by a Design. ICASSP (2020)
David Orive-Miguel, Laura Di Sieno, Anurag Behera, Edoardo Ferocino, Davide Contini, Laurent Condat, Lionel Hervé, Jérôme I. Mars, Alessandro Torricelli, Antonio Pifferi, Alberto Dalla Mora
Real-Time Dual-Wavelength Time-Resolved Diffuse Optical Tomography System for Functional Brain Imaging Based on Probe-Hosted Silicon Photomultipliers. Sensors 20 (10) (2020)
Grigory Malinovskiy, Dmitry Kovalev, Elnur Gasanov, Laurent Condat, Peter Richtárik
From Local SGD to Local Fixed-Point Methods for Federated Learning. ICML (2020)
Adil Salim, Laurent Condat, Konstantin Mishchenko, Peter Richtárik
Dualize, Split, Randomize: Fast Nonsmooth Optimization Algorithms. CoRR (2020)
Laurent Condat
Atomic norm minimization for decomposition into complex exponentials and optimal transport in Fourier domain. J. Approx. Theory 258 (2020)
Kevin Polisano, Laurent Condat, Marianne Clausel, Valérie Perrier
A Convex Approach to Superresolution and Regularization of Lines in Images. SIAM J. Imaging Sci. 12 (1) (2019)
Daichi Kitahara, Laurent Condat, Akira Hirabayashi
One-dimensional Edge-preserving Spline Smoothing for Estimation of Piecewise Smooth Functions. ICASSP (2019)
Laurent Condat, Daichi Kitahara, Akira Hirabayashi
A Convex Lifting Approach to Image Phase Unwrapping. ICASSP (2019)
Daniele Picone, Laurent Condat, Florian Cotte, Mauro Dalla Mura
Image Fusion and Reconstruction of Compressed Data: A Joint Approach. ICIP (2018)
Marion Foare, Nelly Pustelnik, Laurent Condat
A New Proximal Method for Joint Image Restoration and Edge Detection with the Mumford-Shah Model. ICASSP (2018)
Franck Iutzeler, Laurent Condat
Ball via ADMM and Gossip. IEEE Signal Process. Lett. 25 (11) (2018)
Laurent Condat
Discrete Total Variation: New Definition and Minimization. SIAM J. Imaging Sci. 10 (3) (2017)
Alexandre Tiard, Laurent Condat, Lucas Drumetz, Jocelyn Chanussot, Wotao Yin, Xiaoxiang Zhu
Robust linear unmixing with enhanced sparsity. ICIP (2017)
Nelly Pustelnik, Laurent Condat
Proximity Operator of a Sum of Functions; Application to Depth Map Estimation. IEEE Signal Process. Lett. 24 (12) (2017)
Paolo Addesso, Mauro Dalla Mura, Laurent Condat, Rocco Restaino, Gemine Vivone, Daniele Picone, Jocelyn Chanussot
Hyperspectral image inpainting based on collaborative total variation. ICIP (2017)
Laurent Condat
A Convex Approach to K-Means Clustering and Image Segmentation. EMMCVPR (2017)
Paolo Addesso, Mauro Dalla Mura, Laurent Condat, Rocco Restaino, Gemine Vivone, Daniele Picone, Jocelyn Chanussot
Collaborative total variation for hyperspectral pansharpening. IGARSS (2017)
Jordan Frécon, Nelly Pustelnik, Herwig Wendt, Laurent Condat, Patrice Abry
Multifractal-based texture segmentation using variational procedure. IVMSP (2016)
Jordan Frécon, Nelly Pustelnik, Patrice Abry, Laurent Condat
On-The-Fly Approximation of Multivariate Total Variation Minimization. IEEE Trans. Signal Process. 64 (9) (2016)
Paolo Addesso, Mauro Dalla Mura, Laurent Condat, Rocco Restaino, Gemine Vivone, Daniele Picone, Jocelyn Chanussot
Hyperspectral pansharpening using convex optimization and collaborative total variation regularization. WHISPERS (2016)
Kevin Polisano, Laurent Condat, Marianne Clausel, Valérie Perrier
Convex super-resolution detection of lines in images. EUSIPCO (2016)
Akira Hirabayashi, Naoki Nogami, Takashi Ijiri, Laurent Condat
Sequential image completion for high-speed large-pixel number sensing. EUSIPCO (2016)
Laurent Condat
ball. Math. Program. 158 (1-2) (2016)
Jordan Frécon, Nelly Pustelnik, Patrice Abry, Laurent Condat
On-the-fly Approximation of Multivariate Total Variation Minimization. CoRR (2015)
Naoki Nogami, Akira Hirabayashi, Jeremy White, Laurent Condat
Improvement of pixel enhancement algorithm for high-speed camera imaging using 3D sparsity. APSIPA (2015)
Akira Hirabayashi, Nogami Nogami, Jeremy White, Laurent Condat
Pixel enlargement in high-speed camera image acquisition based on 3D sparse representations. SiPS (2015)
Laurent Condat, Akira Hirabayashi
Super-resolution of positive spikes by Toeplitz low-rank approximation. EUSIPCO (2015)
Laurent Condat
A Generic Proximal Algorithm for Convex Optimization - Application to Total Variation Minimization. IEEE Signal Process. Lett. 21 (8) (2014)
Laurent Condat, Jérôme Boulanger, Nelly Pustelnik, Souleymen Sahnoun, Lucie Sengmanivong
A 2-D spectral analysis method to estimate the modulation parameters in structured illumination microscopy. ISBI (2014)
Jérôme Boulanger, Nelly Pustelnik, Laurent Condat
Non-smooth convex optimization for an efficient reconstruction in structured illumination microscopy. ISBI (2014)
Patrick L. Combettes, Laurent Condat, Jean-Christophe Pesquet, Bang Công Vu
A forward-backward view of some primal-dual optimization methods in image recovery. ICIP (2014)
Jeremy Schmitt, Nelly Pustelnik, Pierre Borgnat, Patrick Flandrin, Laurent Condat
2D Prony-Huang Transform: A New Tool for 2D Spectral Analysis. IEEE Trans. Image Process. 23 (12) (2014)
Kevin Polisano, Marianne Clausel, Valérie Perrier, Laurent Condat
Texture modeling by Gaussian fields with prescribed local orientation. ICIP (2014)
Xiyan He, Laurent Condat, José M. Bioucas-Dias, Jocelyn Chanussot, Junshi Xia
A New Pansharpening Method Based on Spatial and Spectral Sparsity Priors. IEEE Trans. Image Process. 23 (9) (2014)
Laurent Condat
Semi-local total variation for regularization of inverse problems. EUSIPCO (2014)
Akira Hirabayashi, Yosuke Hironaga, Laurent Condat
Sampling and recovery of continuous sparse signals by maximum likelihood estimation. ICASSP (2013)
Laurent Condat, Akira Hirabayashi, Yosuke Hironaga
Recovery of nonuniformdirac pulses from noisy linear measurements. ICASSP (2013)
Laurent Condat
A Direct Algorithm for 1-D Total Variation Denoising. IEEE Signal Process. Lett. 20 (11) (2013)
Laurent Condat
Reconstruction from non-uniform samples: A direct, variational approach in shift-invariant spaces. Digit. Signal Process. 23 (4) (2013)
Akira Hirabayashi, Yosuke Hironaga, Laurent Condat
Sampling Signals with Finite Rate of Innovation and Recovery by Maximum Likelihood Estimation. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (10) (2013)
Laurent Condat
A Primal-Dual Splitting Method for Convex Optimization Involving Lipschitzian, Proximable and Linear Composite Terms. J. Optim. Theory Appl. 158 (2) (2013)
Giorgio Licciardi, Muhammad Murtaza Khan, Jocelyn Chanussot, Annick Montanvert, Laurent Condat, Christian Jutten
Fusion of hyperspectral and panchromatic images using multiresolution analysis and nonlinear PCA band reduction. EURASIP J. Adv. Signal Process. 2012 (2012)
Xiyan He, Laurent Condat, Jocelyn Chanussot, Junshi Xia
Pansharpening using total variation regularization. IGARSS (2012)
Laurent Condat, Saleh Mosaddegh
Joint demosaicking and denoising by total variationminimization. ICIP (2012)
Giorgio Licciardi, Muhammad Murtaza Khan, Jocelyn Chanussot, Annick Montanvert, Laurent Condat, Christian Jutten
Fusion of Hyperspectral and panchromatic images using multiresolution analysis and nonlinear PCA band reduction. IGARSS (2011)
Laurent Condat
Reconstruction of derivatives: Error analysis and design criteria. EUSIPCO (2011)
Laurent Condat, Torsten Möller
Quantitative Error Analysis for the Reconstruction of Derivatives. IEEE Trans. Signal Process. 59 (6) (2011)
Laurent Condat
A New Color Filter Array With Optimal Properties for Noiseless and Noisy Color Image Acquisition. IEEE Trans. Image Process. 20 (8) (2011)
Laurent Condat
Color filter array design using random patterns with blue noise chromatic spectra. Image Vis. Comput. 28 (8) (2010)
Laurent Condat
A simple, fast and efficient approach to denoisaicking: Joint demosaicking and denoising. ICIP (2010)
Usman R. Alim, Torsten Möller, Laurent Condat
Gradient Estimation Revitalized. IEEE Trans. Vis. Comput. Graph. 16 (6) (2010)
Laurent Condat
A new random color filter array with good spectral properties. ICIP (2009)
Laurent Condat
A new color filter array with optimal sensing properties. ICIP (2009)
Laurent Condat
A generic variational approach for demosaicking from an arbitrary color filter array. ICIP (2009)
Laurent Condat, Dimitri Van De Ville, Brigitte Forster-Heinlein
Reversible, Fast, and High-Quality Grid Conversions. IEEE Trans. Image Process. 17 (5) (2008)
Laurent Condat, Dimitri Van De Ville
Fully reversible image rotation by 1-D filtering. ICIP (2008)
Muhammad Murtaza Khan, Jocelyn Chanussot, Laurent Condat, Annick Montanvert
Indusion: Fusion of Multispectral and Panchromatic Images Using the Induction Scaling Technique. IEEE Geosci. Remote. Sens. Lett. 5 (1) (2008)
Laurent Condat, Dimitri Van De Ville
New optimized spline functions for interpolation on the hexagonal lattice. ICIP (2008)
Akira Hirabayashi, Laurent Condat
A study on interlaced sampling with unknown offsets. EUSIPCO (2008)
Laurent Condat, Dimitri Van De Ville
Quasi-Interpolating Spline Models for Hexagonally-Sampled Data. IEEE Trans. Image Process. 16 (5) (2007)
Muhammad Murtaza Khan, Jocelyn Chanussot, Annick Montanvert, Laurent Condat
Pan-sharpening using induction. IGARSS (2007)
Akira Hirabayashi, Laurent Condat
A Compact Image Magnification Method with Preservation of Preferential Components. ICIP (5) (2007)
Laurent Condat, Brigitte Forster-Heinlein, Dimitri Van De Ville
H2O: Reversible Hexagonal-Orthogonal Grid Conversion by 1-D Filtering. ICIP (2) (2007)
Akira Hirabayashi, Laurent Condat
Torwards a general formulation for over-sampling and under-sampling. EUSIPCO (2007)
Laurent Condat, Annick Montanvert
Fast reconstruction from non-uniform samples in shift-invariant spaces. EUSIPCO (2006)
Laurent Condat, Dimitri Van De Ville
Three-directional box-splines: characterization and efficient evaluation. IEEE Signal Process. Lett. 13 (7) (2006)
Laurent Condat, Dimitri Van De Ville, Michael Unser
Efficient Reconstruction of Hexagonally Sampled Data using Three-Directional Box-Splines. ICIP (2006)
Laurent Condat, Thierry Blu, Michael Unser
Beyond interpolation: optimal reconstruction by quasi-interpolation. ICIP (1) (2005)
Laurent Condat, Dimitri Van De Ville, Thierry Blu
Hexagonal versus orthogonal lattices: a new comparison using approximation theory. ICIP (3) (2005)
Laurent Condat, Annick Montanvert
A Framework for Image Magnification: Induction Revisited. ICASSP (2) (2005)

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Publication Activity (10 Years)

Top Topics

Top Venues

Laurent Condat