Mukherjee, Subhadip

6 publications

TMLR 2024 Boosting Data-Driven Mirror Descent with Randomization, Equivariance, and Acceleration Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb

TMLR 2024 Unsupervised Training of Convex Regularizers Using Maximum Likelihood Estimation Hong Ye Tan, Ziruo Cai, Marcelo Pereyra, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb

ICML 2024 Weakly Convex Regularisers for Inverse Problems: Convergence of Critical Points and Primal-Dual Optimisation Zakhar Shumaylov, Jeremy Budd, Subhadip Mukherjee, Carola-Bibiane Schönlieb

NeurIPSW 2023 Provably Convergent Data-Driven Convex-Nonconvex Regularization Zakhar Shumaylov, Jeremy Budd, Subhadip Mukherjee, Carola-Bibiane Schönlieb

NeurIPS 2021 End-to-End Reconstruction Meets Data-Driven Regularization for Inverse Problems Subhadip Mukherjee, Marcello Carioni, Ozan Öktem, Carola-Bibiane Schönlieb

NeurIPSW 2021 Learning Convex Regularizers Satisfying the Variational Source Condition for Inverse Problems Subhadip Mukherjee, Carola-Bibiane Schönlieb, Martin Burger