Asymptotic Dynamics of Inertial Particles with Memory. - Gabriel Provencher Langlois; Mohammad Farazmand; George Haller (J. Nonlinear Sci., 2015)

Connecting Hamilton-Jacobi partial differential equations with maximum a posteriori and posterior mean estimators for some non-convex priors. - Jérôme Darbon; Gabriel Provencher Langlois; Tingwei Meng (CoRR, 2021)

Accelerated nonlinear primal-dual hybrid gradient algorithms with applications to machine learning. - Jérôme Darbon; Gabriel Provencher Langlois (CoRR, 2021)

Efficient and robust high-dimensional sparse logistic regression via nonlinear primal-dual hybrid gradient algorithms. - Jérôme Darbon; Gabriel Provencher Langlois (CoRR, 2021)

On Bayesian Posterior Mean Estimators in Imaging Sciences and Hamilton-Jacobi Partial Differential Equations. - Jérôme Darbon; Gabriel Provencher Langlois (J. Math. Imaging Vis., 2021)

Efficient First-Order Algorithms for Large-Scale, Non-Smooth Maximum Entropy Models with Application to Wildfire Science. - Gabriel Provencher Langlois; Jatan Buch; Jérôme Darbon (Entropy, 2024)

Exact and efficient basis pursuit denoising via differential inclusions and a selection principle. - Gabriel Provencher Langlois; Jérôme Darbon (CoRR, 2025)