Jérôme Darbon
Orcid: 0000-0003-0483-7919
According to our database1,
Jérôme Darbon
authored at least 72 papers
between 2001 and 2024.
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Bibliography
2024
Efficient First-Order Algorithms for Large-Scale, Non-Smooth Maximum Entropy Models with Application to Wildfire Science.
Entropy, August, 2024
Leveraging Multitime Hamilton-Jacobi PDEs for Certain Scientific Machine Learning Problems.
SIAM J. Sci. Comput., 2024
HJ-sampler: A Bayesian sampler for inverse problems of a stochastic process by leveraging Hamilton-Jacobi PDEs and score-based generative models.
CoRR, 2024
Leveraging viscous Hamilton-Jacobi PDEs for uncertainty quantification in scientific machine learning.
CoRR, 2024
Hopf-type representation formulas and efficient algorithms for certain high-dimensional optimal control problems.
Comput. Math. Appl., 2024
Leveraging Hamilton-Jacobi PDEs with time-dependent Hamiltonians for continual scientific machine learning.
Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024
2023
IEEE Trans. Mob. Comput., August, 2023
Neural Networks, April, 2023
Neural network architectures using min-plus algebra for solving certain high-dimensional optimal control problems and Hamilton-Jacobi PDEs.
Math. Control. Signals Syst., March, 2023
Leveraging Multi-time Hamilton-Jacobi PDEs for Certain Scientific Machine Learning Problems.
CoRR, 2023
2022
SympOCnet: Solving Optimal Control Problems with Applications to High-Dimensional Multiagent Path Planning Problems.
SIAM J. Sci. Comput., 2022
J. Math. Imaging Vis., 2022
SympOCnet: Solving optimal control problems with applications to high-dimensional multi-agent path planning problems.
CoRR, 2022
2021
An Algorithm Solving Compressive Sensing Problem Based on Maximal Monotone Operators.
SIAM J. Sci. Comput., 2021
On Bayesian Posterior Mean Estimators in Imaging Sciences and Hamilton-Jacobi Partial Differential Equations.
J. Math. Imaging Vis., 2021
On some neural network architectures that can represent viscosity solutions of certain high dimensional Hamilton-Jacobi partial differential equations.
J. Comput. Phys., 2021
Efficient and robust high-dimensional sparse logistic regression via nonlinear primal-dual hybrid gradient algorithms.
CoRR, 2021
Accelerated nonlinear primal-dual hybrid gradient algorithms with applications to machine learning.
CoRR, 2021
CoRR, 2021
Connecting Hamilton-Jacobi partial differential equations with maximum a posteriori and posterior mean estimators for some non-convex priors.
CoRR, 2021
2020
On Decomposition Models in Imaging Sciences and Multi-time Hamilton-Jacobi Partial Differential Equations.
SIAM J. Imaging Sci., 2020
CoRR, 2020
2019
Algorithm for overcoming the curse of dimensionality for state-dependent Hamilton-Jacobi equations.
J. Comput. Phys., 2019
Proceedings of the IEEE INFOCOM 2019, 2019
2018
IEEE Control. Syst. Lett., 2018
A Simple and Exact Algorithm to Solve l1 Linear Problems - Application to the Compressive Sensing Method.
Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018), 2018
A Simple and Exact Algorithm to Solve Linear Problems with \ell ^1 -Based Regularizers.
Proceedings of the Computer Vision, Imaging and Computer Graphics Theory and Applications, 2018
A Primal-Dual Method for Optimal Control and Trajectory Generation in High-Dimensional Systems.
Proceedings of the IEEE Conference on Control Technology and Applications, 2018
2017
Algorithm for Overcoming the Curse of Dimensionality For Time-Dependent Non-convex Hamilton-Jacobi Equations Arising From Optimal Control and Differential Games Problems.
J. Sci. Comput., 2017
J. Comput. Phys., 2017
2015
On Convex Finite-Dimensional Variational Methods in Imaging Sciences and Hamilton-Jacobi Equations.
SIAM J. Imaging Sci., 2015
2014
On the implementation of the multi-phase region segmentation, solving the hidden phase problem.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014
2013
J. Signal Process. Syst., 2013
Conciliating syntactic and semantic constraints for multi-phase and multi-channel region segmentation.
Comput. Vis. Image Underst., 2013
2011
Exact optimization for the ℓ<sup>1</sup>-Compressive Sensing problem using a modified Dantzig-Wolfe method.
Theor. Comput. Sci., 2011
A Markovian Approach for InSAR Phase Reconstruction With Mixed Discrete and Continuous Optimization.
IEEE Geosci. Remote. Sens. Lett., 2011
Enhancement of historical printed document images by combining Total Variation regularization and Non-local Means filtering.
Image Vis. Comput., 2011
Proceedings of the Document Recognition and Retrieval XVIII, 2011
Proceedings of the Discrete Geometry for Computer Imagery, 2011
2010
Proceedings of the Advances in Visual Computing - 6th International Symposium, 2010
Proceedings of the Document Recognition and Retrieval XVII, 2010
2009
IEEE Trans. Image Process., 2009
Joint Regularization of Phase and Amplitude of InSAR Data: Application to 3-D Reconstruction.
IEEE Trans. Geosci. Remote. Sens., 2009
On Total Variation Minimization and Surface Evolution Using Parametric Maximum Flows.
Int. J. Comput. Vis., 2009
Discret. Appl. Math., 2009
Proceedings of the International Conference on Image Processing, 2009
Proceedings of the International Conference on Image Processing, 2009
Proceedings of the International Conference on Image Processing, 2009
Proceedings of the 10th International Conference on Document Analysis and Recognition, 2009
2008
Bregman Iterative Algorithms for \ell<sub>1</sub>-Minimization with Applications to Compressed Sensing.
SIAM J. Imaging Sci., 2008
Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008
Joint Filtering of SAR Interferometric and Amplitude Data in Urban Areas by TV Minimization.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008
2007
Proceedings of the Computer Vision/Computer Graphics Collaboration Techniques, 2007
Fast and Accurate Feature Detection and Triangulation Using Total Variation Filtering of Biological Images.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007
Proceedings of the IEEE International Conference on Acoustics, 2007
The use of levelable regularization functions for MRF restoration of SAR images while preserving reflectivity.
Proceedings of the Computational Imaging V, San Jose, 2007
2006
Image Restoration with Discrete Constrained Total Variation Part II: Levelable Functions, Convex Priors and Non-Convex Cases.
J. Math. Imaging Vis., 2006
Image Restoration with Discrete Constrained Total Variation Part I: Fast and Exact Optimization.
J. Math. Imaging Vis., 2006
Proceedings of the Advances in Visual Computing, Second International Symposium, 2006
Proceedings of the Image Analysis and Recognition, Third International Conference, 2006
2005
Proceedings of the Advances in Visual Computing, First International Symposium, 2005
Proceedings of the Pattern Recognition and Image Analysis, Second Iberian Conference, 2005
Proceedings of the 13th European Signal Processing Conference, 2005
2004
Proceedings of the Combinatorial Image Analysis, 10th InternationalWorkshop, 2004
Proceedings of the 2004 12th European Signal Processing Conference, 2004
2001
Proceedings of the Security and Watermarking of Multimedia Contents III, 2001
Proceedings of the 2001 International Conference on Image Processing, 2001