Laurent Condat

101 papers A* 4A 1B 14C 4Misc 6Journal 50Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BiCoLoR: Communication-Efficient Optimization with Bidirectional Compression and Local Training. CoRR Laurent Condat, Artavazd Maranjyan, Peter Richtárik
2025	J	`jnl`	Convergence Analysis of the PAGE Stochastic Algorithm for Weakly Convex Finite-Sum Optimization. CoRR Laurent Condat, Peter Richtárik
2025	J	`jnl`	Explicit Personalization and Local Training: Double Communication Acceleration in Federated Learning. Trans. Mach. Learn. Res. Kai Yi, Laurent Condat, Peter Richtárik
2025	J	`jnl`	FedComLoc: Communication-Efficient Distributed Training of Sparse and Quantized Models. Trans. Mach. Learn. Res. Kai Yi, Georg Meinhardt, Laurent Condat, Peter Richtárik
2025	A*	`conf`	LoCoDL: Communication-Efficient Distributed Learning with Local Training and Compression. ICLR Laurent Condat, Arto Maranjyan, Peter Richtárik
2024	J	`jnl`	FedComLoc: Communication-Efficient Distributed Training of Sparse and Quantized Models. CoRR Kai Yi, Georg Meinhardt, Laurent Condat, Peter Richtárik
2024	J	`jnl`	LoCoDL: Communication-Efficient Distributed Learning with Local Training and Compression. CoRR Laurent Condat, Artavazd Maranjyan, Peter Richtárik
2024	B	`conf`	Near-Linear Time Projection onto the $\ell_{1, \infty}$ Ball; Application to Sparse Neural Networks. ICTAI Guillaume Perez, Laurent Condat, Michel Barlaud
2024	J	`jnl`	Prune at the Clients, Not the Server: Accelerated Sparse Training in Federated Learning. CoRR Georg Meinhardt, Kai Yi, Laurent Condat, Peter Richtárik
2023	J	`jnl`	Explicit Personalization and Local Training: Double Communication Acceleration in Federated Learning. CoRR Kai Yi, Laurent Condat, Peter Richtárik
2023	J	`jnl`	Joint Demosaicing and Fusion of Multiresolution Coded Acquisitions: A Unified Image Formation and Reconstruction Method. IEEE Trans. Computational Imaging Daniele Picone, Mauro Dalla Mura, Laurent Condat
2023	J	`jnl`	Near-Linear Time Projection onto the 𝓁 CoRR Guillaume Perez, Laurent Condat, Michel Barlaud
2023	J	`jnl`	Proximal Splitting Algorithms for Convex Optimization: A Tour of Recent Advances, with New Twists. SIAM Rev. Laurent Condat, Daichi Kitahara, Andrés Contreras, Akira Hirabayashi
2023	J	`jnl`	RandCom: Random Communication Skipping Method for Decentralized Stochastic Optimization. CoRR Luyao Guo, Sulaiman A. Alghunaim, Kun Yuan, Laurent Condat, Jinde Cao
2023	A*	`conf`	RandProx: Primal-Dual Optimization Algorithms with Randomized Proximal Updates. ICLR Laurent Condat, Peter Richtárik
2023	J	`jnl`	TAMUNA: Accelerated Federated Learning with Local Training and Partial Participation. CoRR Laurent Condat, Grigory Malinovsky, Peter Richtárik
2022	A	`conf`	An Optimal Algorithm for Strongly Convex Minimization under Affine Constraints. AISTATS Adil Salim, Laurent Condat, Dmitry Kovalev, Peter Richtárik
2022	J	`jnl`	Dualize, Split, Randomize: Toward Fast Nonsmooth Optimization Algorithms. J. Optim. Theory Appl. Adil Salim, Laurent Condat, Konstantin Mishchenko, Peter Richtárik
2022	A*	`conf`	EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization. NeurIPS Laurent Condat, Kai Yi, Peter Richtárik
2022	J	`jnl`	EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization. CoRR Laurent Condat, Kai Yi, Peter Richtárik
2022	—	`conf`	MURANA: A Generic Framework for Stochastic Variance-Reduced Optimization. MSML Laurent Condat, Peter Richtárik
2022	J	`jnl`	Provably Doubly Accelerated Federated Learning: The First Theoretically Successful Combination of Local Training and Compressed Communication. CoRR Laurent Condat, Ivan Agarský, Peter Richtárik
2022	J	`jnl`	Tikhonov Regularization of Circle-Valued Signals. IEEE Trans. Signal Process. Laurent Condat
2021	J	`jnl`	MURANA: A Generic Framework for Stochastic Variance-Reduced Optimization. CoRR Laurent Condat, Peter Richtárik
2021	J	`jnl`	Multiclass Dictionary-Based Statistical Iterative Reconstruction for Low-Dose CT. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Hiryu Kamoshita, Daichi Kitahara, Ken'ichi Fujimoto, Laurent Condat, Akira Hirabayashi
2021	J	`jnl`	Tikhonov Regularization of Circle-Valued Signals. CoRR Laurent Condat
2020	J	`jnl`	Atomic norm minimization for decomposition into complex exponentials and optimal transport in Fourier domain. J. Approx. Theory Laurent Condat
2020	J	`jnl`	Distributed Proximal Splitting Algorithms with Rates and Acceleration. CoRR Laurent Condat, Grigory Malinovsky, Peter Richtárik
2020	J	`jnl`	Dualize, Split, Randomize: Fast Nonsmooth Optimization Algorithms. CoRR Adil Salim, Laurent Condat, Konstantin Mishchenko, Peter Richtárik
2020	J	`jnl`	From Local SGD to Local Fixed Point Methods for Federated Learning. CoRR Grigory Malinovsky, Dmitry Kovalev, Elnur Gasanov, Laurent Condat, Peter Richtárik
2020	A*	`conf`	From Local SGD to Local Fixed-Point Methods for Federated Learning. ICML Grigory Malinovskiy, Dmitry Kovalev, Elnur Gasanov, Laurent Condat, Peter Richtárik
2020	J	`jnl`	Optimal Gradient Compression for Distributed and Federated Learning. CoRR Alyazeed Albasyoni, Mher Safaryan, Laurent Condat, Peter Richtárik
2020	J	`jnl`	Real-Time Dual-Wavelength Time-Resolved Diffuse Optical Tomography System for Functional Brain Imaging Based on Probe-Hosted Silicon Photomultipliers. Sensors 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
2020	J	`jnl`	Semi-Linearized Proximal Alternating Minimization for a Discrete Mumford-Shah Model. IEEE Trans. Image Process. Marion Foare, Nelly Pustelnik, Laurent Condat
2020	Misc	`conf`	Tree of Shapes Cut for Material Segmentation Guided by a Design. ICASSP Julien Baderot, Michel Desvignes, Laurent Condat, Mauro Dalla Mura
2019	J	`jnl`	A Convex Approach to Superresolution and Regularization of Lines in Images. SIAM J. Imaging Sci. Kevin Polisano, Laurent Condat, Marianne Clausel, Valérie Perrier
2019	Misc	`conf`	A Convex Lifting Approach to Image Phase Unwrapping. ICASSP Laurent Condat, Daichi Kitahara, Akira Hirabayashi
2019	Misc	`conf`	One-dimensional Edge-preserving Spline Smoothing for Estimation of Piecewise Smooth Functions. ICASSP Daichi Kitahara, Laurent Condat, Akira Hirabayashi
2018	Misc	`conf`	A New Proximal Method for Joint Image Restoration and Edge Detection with the Mumford-Shah Model. ICASSP Marion Foare, Nelly Pustelnik, Laurent Condat
2018	J	`jnl`	Distributed Projection on the Simplex and ℓ IEEE Signal Process. Lett. Franck Iutzeler, Laurent Condat
2018	B	`conf`	Image Fusion and Reconstruction of Compressed Data: A Joint Approach. ICIP Daniele Picone, Laurent Condat, Florian Cotte, Mauro Dalla Mura
2017	—	`conf`	A Convex Approach to K-Means Clustering and Image Segmentation. EMMCVPR Laurent Condat
2017	C	`conf`	Collaborative total variation for hyperspectral pansharpening. IGARSS Paolo Addesso, Mauro Dalla Mura, Laurent Condat, Rocco Restaino, Gemine Vivone, Daniele Picone, Jocelyn Chanussot
2017	J	`jnl`	Discrete Total Variation: New Definition and Minimization. SIAM J. Imaging Sci. Laurent Condat
2017	B	`conf`	Hyperspectral image inpainting based on collaborative total variation. ICIP Paolo Addesso, Mauro Dalla Mura, Laurent Condat, Rocco Restaino, Gemine Vivone, Daniele Picone, Jocelyn Chanussot
2017	J	`jnl`	Proximity Operator of a Sum of Functions; Application to Depth Map Estimation. IEEE Signal Process. Lett. Nelly Pustelnik, Laurent Condat
2017	B	`conf`	Robust linear unmixing with enhanced sparsity. ICIP Alexandre Tiard, Laurent Condat, Lucas Drumetz, Jocelyn Chanussot, Wotao Yin, Xiaoxiang Zhu
2016	—	`conf`	Convex super-resolution detection of lines in images. EUSIPCO Kevin Polisano, Laurent Condat, Marianne Clausel, Valérie Perrier
2016	J	`jnl`	Fast projection onto the simplex and the Math. Program. Laurent Condat
2016	—	`conf`	Hyperspectral pansharpening using convex optimization and collaborative total variation regularization. WHISPERS Paolo Addesso, Mauro Dalla Mura, Laurent Condat, Rocco Restaino, Gemine Vivone, Daniele Picone, Jocelyn Chanussot
2016	—	`conf`	Multifractal-based texture segmentation using variational procedure. IVMSP Jordan Frécon, Nelly Pustelnik, Herwig Wendt, Laurent Condat, Patrice Abry
2016	J	`jnl`	On-The-Fly Approximation of Multivariate Total Variation Minimization. IEEE Trans. Signal Process. Jordan Frécon, Nelly Pustelnik, Patrice Abry, Laurent Condat
2016	—	`conf`	Sequential image completion for high-speed large-pixel number sensing. EUSIPCO Akira Hirabayashi, Naoki Nogami, Takashi Ijiri, Laurent Condat
2015	—	`conf`	Improvement of pixel enhancement algorithm for high-speed camera imaging using 3D sparsity. APSIPA Naoki Nogami, Akira Hirabayashi, Jeremy White, Laurent Condat
2015	J	`jnl`	On-the-fly Approximation of Multivariate Total Variation Minimization. CoRR Jordan Frécon, Nelly Pustelnik, Patrice Abry, Laurent Condat
2015	—	`conf`	Pixel enlargement in high-speed camera image acquisition based on 3D sparse representations. SiPS Akira Hirabayashi, Nogami Nogami, Jeremy White, Laurent Condat
2015	—	`conf`	Super-resolution of positive spikes by Toeplitz low-rank approximation. EUSIPCO Laurent Condat, Akira Hirabayashi
2014	J	`jnl`	2D Prony-Huang Transform: A New Tool for 2D Spectral Analysis. IEEE Trans. Image Process. Jeremy Schmitt, Nelly Pustelnik, Pierre Borgnat, Patrick Flandrin, Laurent Condat
2014	—	`conf`	A 2-D spectral analysis method to estimate the modulation parameters in structured illumination microscopy. ISBI Laurent Condat, Jérôme Boulanger, Nelly Pustelnik, Souleymen Sahnoun, Lucie Sengmanivong
2014	J	`jnl`	A Generic Proximal Algorithm for Convex Optimization - Application to Total Variation Minimization. IEEE Signal Process. Lett. Laurent Condat
2014	J	`jnl`	A New Pansharpening Method Based on Spatial and Spectral Sparsity Priors. IEEE Trans. Image Process. Xiyan He, Laurent Condat, José M. Bioucas-Dias, Jocelyn Chanussot, Junshi Xia
2014	B	`conf`	A forward-backward view of some primal-dual optimization methods in image recovery. ICIP Patrick L. Combettes, Laurent Condat, Jean-Christophe Pesquet, Bang Công Vu
2014	—	`conf`	Non-smooth convex optimization for an efficient reconstruction in structured illumination microscopy. ISBI Jérôme Boulanger, Nelly Pustelnik, Laurent Condat
2014	—	`conf`	Semi-local total variation for regularization of inverse problems. EUSIPCO Laurent Condat
2014	B	`conf`	Texture modeling by Gaussian fields with prescribed local orientation. ICIP Kevin Polisano, Marianne Clausel, Valérie Perrier, Laurent Condat
2013	J	`jnl`	A Direct Algorithm for 1-D Total Variation Denoising. IEEE Signal Process. Lett. Laurent Condat
2013	J	`jnl`	A Primal-Dual Splitting Method for Convex Optimization Involving Lipschitzian, Proximable and Linear Composite Terms. J. Optim. Theory Appl. Laurent Condat
2013	J	`jnl`	Reconstruction from non-uniform samples: A direct, variational approach in shift-invariant spaces. Digit. Signal Process. Laurent Condat
2013	Misc	`conf`	Recovery of nonuniformdirac pulses from noisy linear measurements. ICASSP Laurent Condat, Akira Hirabayashi, Yosuke Hironaga
2013	J	`jnl`	Sampling Signals with Finite Rate of Innovation and Recovery by Maximum Likelihood Estimation. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Akira Hirabayashi, Yosuke Hironaga, Laurent Condat
2013	Misc	`conf`	Sampling and recovery of continuous sparse signals by maximum likelihood estimation. ICASSP Akira Hirabayashi, Yosuke Hironaga, Laurent Condat
2012	J	`jnl`	Fusion of hyperspectral and panchromatic images using multiresolution analysis and nonlinear PCA band reduction. EURASIP J. Adv. Signal Process. Giorgio Licciardi, Muhammad Murtaza Khan, Jocelyn Chanussot, Annick Montanvert, Laurent Condat, Christian Jutten
2012	B	`conf`	Joint demosaicking and denoising by total variationminimization. ICIP Laurent Condat, Saleh Mosaddegh
2012	C	`conf`	Pansharpening using total variation regularization. IGARSS Xiyan He, Laurent Condat, Jocelyn Chanussot, Junshi Xia
2011	J	`jnl`	A New Color Filter Array With Optimal Properties for Noiseless and Noisy Color Image Acquisition. IEEE Trans. Image Process. Laurent Condat
2011	C	`conf`	Fusion of Hyperspectral and panchromatic images using multiresolution analysis and nonlinear PCA band reduction. IGARSS Giorgio Licciardi, Muhammad Murtaza Khan, Jocelyn Chanussot, Annick Montanvert, Laurent Condat, Christian Jutten
2011	J	`jnl`	Quantitative Error Analysis for the Reconstruction of Derivatives. IEEE Trans. Signal Process. Laurent Condat, Torsten Möller
2011	—	`conf`	Reconstruction of derivatives: Error analysis and design criteria. EUSIPCO Laurent Condat
2010	B	`conf`	A simple, fast and efficient approach to denoisaicking: Joint demosaicking and denoising. ICIP Laurent Condat
2010	J	`jnl`	Color filter array design using random patterns with blue noise chromatic spectra. Image Vis. Comput. Laurent Condat
2010	J	`jnl`	Gradient Estimation Revitalized. IEEE Trans. Vis. Comput. Graph. Usman R. Alim, Torsten Möller, Laurent Condat
2009	B	`conf`	A generic variational approach for demosaicking from an arbitrary color filter array. ICIP Laurent Condat
2009	B	`conf`	A new color filter array with optimal sensing properties. ICIP Laurent Condat
2009	B	`conf`	A new random color filter array with good spectral properties. ICIP Laurent Condat
2008	—	`conf`	A study on interlaced sampling with unknown offsets. EUSIPCO Akira Hirabayashi, Laurent Condat
2008	B	`conf`	Fully reversible image rotation by 1-D filtering. ICIP Laurent Condat, Dimitri Van De Ville
2008	J	`jnl`	Indusion: Fusion of Multispectral and Panchromatic Images Using the Induction Scaling Technique. IEEE Geosci. Remote. Sens. Lett. Muhammad Murtaza Khan, Jocelyn Chanussot, Laurent Condat, Annick Montanvert
2008	B	`conf`	New optimized spline functions for interpolation on the hexagonal lattice. ICIP Laurent Condat, Dimitri Van De Ville
2008	J	`jnl`	Reversible, Fast, and High-Quality Grid Conversions. IEEE Trans. Image Process. Laurent Condat, Dimitri Van De Ville, Brigitte Forster-Heinlein
2007	—	`conf`	A Compact Image Magnification Method with Preservation of Preferential Components. ICIP (5) Akira Hirabayashi, Laurent Condat
2007	—	`conf`	H2O: Reversible Hexagonal-Orthogonal Grid Conversion by 1-D Filtering. ICIP (2) Laurent Condat, Brigitte Forster-Heinlein, Dimitri Van De Ville
2007	C	`conf`	Pan-sharpening using induction. IGARSS Muhammad Murtaza Khan, Jocelyn Chanussot, Annick Montanvert, Laurent Condat
2007	J	`jnl`	Quasi-Interpolating Spline Models for Hexagonally-Sampled Data. IEEE Trans. Image Process. Laurent Condat, Dimitri Van De Ville
2007	—	`conf`	Torwards a general formulation for over-sampling and under-sampling. EUSIPCO Akira Hirabayashi, Laurent Condat
2006	B	`conf`	Efficient Reconstruction of Hexagonally Sampled Data using Three-Directional Box-Splines. ICIP Laurent Condat, Dimitri Van De Ville, Michael Unser
2006	—	`conf`	Fast reconstruction from non-uniform samples in shift-invariant spaces. EUSIPCO Laurent Condat, Annick Montanvert
2006	—	`—`	Méthodes d'approximation pour la reconstruction de signaux et le redimensionnement d'images. (Approximation methods for signal reconstruction and image resizing). Laurent Condat
2006	J	`jnl`	Three-directional box-splines: characterization and efficient evaluation. IEEE Signal Process. Lett. Laurent Condat, Dimitri Van De Ville
2005	—	`conf`	A Framework for Image Magnification: Induction Revisited. ICASSP (2) Laurent Condat, Annick Montanvert
2005	—	`conf`	Beyond interpolation: optimal reconstruction by quasi-interpolation. ICIP (1) Laurent Condat, Thierry Blu, Michael Unser
2005	—	`conf`	Hexagonal versus orthogonal lattices: a new comparison using approximation theory. ICIP (3) Laurent Condat, Dimitri Van De Ville, Thierry Blu