Paul Escande - RankMe

16 papers C 1Journal 13Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	DeepInverse: A Python package for solving imaging inverse problems with deep learning. J. Open Source Softw. Julián Tachella, Matthieu Terris, Samuel Hurault, Andrew Wang, Leo Davy, Jérémy Scanvic, Victor Sechaud, Romain Vo, Thomas Moreau, Thomas Davies, Dongdong Chen, Nils Laurent, Brayan Monroy, Jonathan Dong, Zhiyuan Hu, Minh-Hai Nguyen, Florian Sarron, Pierre Weiss, Paul Escande, Mathurin Massias, Thibaut Modrzyk, Brett Levac, Tobías I. Liaudat, Maxime Song, Johannes Hertrich, Sebastian Neumayer, Georg Schramm
2024	J	`jnl`	On the Concentration of the Minimizers of Empirical Risks. J. Mach. Learn. Res. Paul Escande
2023	J	`jnl`	Random walk informed heterogeneity detection reveals how the lymph node conduit network influences T cells collective exploration behavior. PLoS Comput. Biol. Solène Song, Malek Senoussi, Paul Escande, Paul Villoutreix
2022	J	`jnl`	Random walk informed community detection reveals heterogeneities in large networks. CoRR Solène Song, Malek Senoussi, Paul Escande, Paul Villoutreix
2021	J	`jnl`	Learning Low-Dimensional Models of Microscopes. IEEE Trans. Computational Imaging Valentin Debarnot, Paul Escande, Thomas Mangeat, Pierre Weiss
2020	J	`jnl`	Fast Wavelet Decomposition of Linear Operators through Product-Convolution Expansions. CoRR Paul Escande, Pierre Weiss
2020	—	`conf`	Modelling a Microscope as Low Dimensional Subspace of Operators. EUSIPCO Valentin Debarnot, Paul Escande, Thomas Mangeat, Pierre Weiss
2019	J	`jnl`	Contrast Invariant SNR and Isotonic Regressions. Int. J. Comput. Vis. Pierre Weiss, Paul Escande, Gabriel Bathie, Yiqiu Dong
2018	J	`jnl`	Accelerating ℓ1-ℓ2 deblurring using wavelet expansions of operators. J. Comput. Appl. Math. Paul Escande, Pierre Weiss
2017	J	`jnl`	A Variational Model for Multiplicative Structured Noise Removal. J. Math. Imaging Vis. Paul Escande, Pierre Weiss, Wenxing Zhang
2017	J	`jnl`	Approximation of Integral Operators Using Product-Convolution Expansions. J. Math. Imaging Vis. Paul Escande, Pierre Weiss
2016	—	`—`	Approximation and estimation of integral operatorsApplications to the restoration of images degraded by spatially varying blurs. (Compression et inférence des opérateurs intégrauxApplications à la restauration d'images dégradées par des flous variables). Paul Escande
2016	J	`jnl`	Estimation of linear operators from scattered impulse responses. CoRR Jérémie Bigot, Paul Escande, Pierre Weiss
2015	J	`jnl`	Sparse Wavelet Representations of Spatially Varying Blurring Operators. SIAM J. Imaging Sci. Paul Escande, Pierre Weiss
2013	J	`jnl`	Image restoration using sparse approximations of spatially varying blur operators in the wavelet domain CoRR Paul Escande, Pierre Weiss, François Malgouyres
2013	C	`conf`	Spatially Varying Blur Recovery - Diagonal Approximations in the Wavelet Domain. ICPRAM Paul Escande, Pierre Weiss, François Malgouyres