Subhadip Mukherjee

75 papers A* 3A 1B 1Misc 9Journal 51Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Blessing of Dimensionality for Approximating Sobolev Classes on Manifolds. AAAI Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb
2025	J	`jnl`	An Adaptively Inexact First-Order Method for Bilevel Optimization with Application to Hyperparameter Learning. SIAM J. Math. Data Sci. Mohammad Sadegh Salehi, Subhadip Mukherjee, Lindon Roberts, Matthias J. Ehrhardt
2025	J	`jnl`	Bilevel Learning via Inexact Stochastic Gradient Descent. CoRR Mohammad Sadegh Salehi, Subhadip Mukherjee, Lindon Roberts, Matthias J. Ehrhardt
2025	—	`conf`	Bilevel Learning with Inexact Stochastic Gradients. SSVM (1) Mohammad Sadegh Salehi, Subhadip Mukherjee, Lindon Roberts, Matthias J. Ehrhardt
2025	J	`jnl`	Convergent Regularization in Inverse Problems and Linear Plug-and-Play Denoisers. Found. Comput. Math. Andreas Hauptmann, Subhadip Mukherjee, Carola-Bibiane Schönlieb, Ferdia Sherry
2025	J	`jnl`	From Image Denoisers to Regularizing Imaging Inverse Problems: An Overview. CoRR Hong Ye Tan, Subhadip Mukherjee, Junqi Tang
2025	Misc	`conf`	Iterative Operator Sketching Framework for Large-Scale Imaging Inverse Problems. ICASSP Junqi Tang, Subhadip Mukherjee, Carola-Bibiane Schönlieb
2025	J	`jnl`	ParticleStego: A Steganographic Algorithm for Securing Consumer Electronics Enabled Social Internet of Things (SIoT). IEEE Trans. Consumer Electron. Subhadip Mukherjee, Somnath Mukhopadhyay, Sunita Sarkar
2025	—	`conf`	Perturbation-Aware Distributionally Robust Optimization for Inverse Problems. SSVM (2) Floor van Maarschalkerwaart, Subhadip Mukherjee, Malena Sabaté Landman, Christoph Brune, Marcello Carioni
2025	J	`jnl`	Practical Operator Sketching Framework for Accelerating Iterative Data-Driven Solutions in Linear Inverse Problems. J. Math. Imaging Vis. Junqi Tang, Guixian Xu, Subhadip Mukherjee, Carola-Bibiane Schönlieb
2024	J	`jnl`	A Primal-dual algorithm for image reconstruction with ICNNs. CoRR Hok Shing Wong, Matthias J. Ehrhardt, Subhadip Mukherjee
2024	J	`jnl`	A shell-matrix-based image steganography technique for multimedia security and covert communication. Innov. Syst. Softw. Eng. Subhadip Mukherjee, Somnath Mukhopadhyay, Sunita Sarkar
2024	—	`conf`	Advancing the Frontiers of Deep Learning for Low-Dose 3D Cone-Beam Computed Tomography (CT) Reconstruction. ICASSP Workshops Ander Biguri, Subhadip Mukherjee
2024	J	`jnl`	Bilevel Learning with Inexact Stochastic Gradients. CoRR Mohammad Sadegh Salehi, Subhadip Mukherjee, Lindon Roberts, Matthias J. Ehrhardt
2024	J	`jnl`	Blessing of Dimensionality for Approximating Sobolev Classes on Manifolds. CoRR Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb
2024	J	`jnl`	Boosting Data-Driven Mirror Descent with Randomization, Equivariance, and Acceleration. Trans. Mach. Learn. Res. Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb
2024	Misc	`conf`	Data-Driven Convex Regularizers for Inverse Problems. ICASSP Subhadip Mukherjee, Sören Dittmer, Zakhar Shumaylov, Sebastian Lunz, Ozan Öktem, Carola B. Schönlieb
2024	J	`jnl`	Data-Driven Gradient Regularization for Quasi-Newton Optimization in Iterative Grating Interferometry CT Reconstruction. IEEE Trans. Medical Imaging Stefano van Gogh, Subhadip Mukherjee, Michal Rawlik, Alexandre Pereira, Simon Spindler, Marie-Christine Zdora, Martin Stauber, Zsuzsanna Varga, Marco Stampanoni
2024	J	`jnl`	Implicit neural representations for unsupervised super-resolution and denoising of 4D flow MRI. Comput. Methods Programs Biomed. Simone Saitta, Marcello Carioni, Subhadip Mukherjee, Carola-Bibiane Schönlieb, Alberto Redaelli
2024	J	`jnl`	IoTSLE: Securing IoT systems in low-light environments through finite automata, deep learning and DNA computing based image steganographic model. Internet Things Subhadip Mukherjee, Somnath Mukhopadhyay, Sunita Sarkar
2024	J	`jnl`	NF-ULA: Normalizing Flow-Based Unadjusted Langevin Algorithm for Imaging Inverse Problems. SIAM J. Imaging Sci. Ziruo Cai, Junqi Tang, Subhadip Mukherjee, Jinglai Li, Carola-Bibiane Schönlieb, Xiaoqun Zhang
2024	J	`jnl`	Parallel BFS through pennant data structure with reducer hyper-object based data hiding for 3D mesh images. Secur. Priv. Sakhi Bandyopadhyay, Subhadip Mukherjee, Somnath Mukhopadhyay, Sunita Sarkar
2024	J	`jnl`	Provably Convergent Plug-and-Play Quasi-Newton Methods. SIAM J. Imaging Sci. Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb
2024	J	`jnl`	Unsupervised Training of Convex Regularizers using Maximum Likelihood Estimation. CoRR Hong Ye Tan, Ziruo Cai, Marcelo Pereyra, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb
2024	J	`jnl`	Unsupervised Training of Convex Regularizers using Maximum Likelihood Estimation. Trans. Mach. Learn. Res. Hong Ye Tan, Ziruo Cai, Marcelo Pereyra, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb
2024	A*	`conf`	Weakly Convex Regularisers for Inverse Problems: Convergence of Critical Points and Primal-Dual Optimisation. ICML Zakhar Shumaylov, Jeremy Budd, Subhadip Mukherjee, Carola-Bibiane Schönlieb
2024	J	`jnl`	Weakly Convex Regularisers for Inverse Problems: Convergence of Critical Points and Primal-Dual Optimisation. CoRR Zakhar Shumaylov, Jeremy Budd, Subhadip Mukherjee, Carola-Bibiane Schönlieb
2023	J	`jnl`	Convergent regularization in inverse problems and linear plug-and-play denoisers. CoRR Andreas Hauptmann, Subhadip Mukherjee, Carola-Bibiane Schönlieb, Ferdia Sherry
2023	J	`jnl`	Data-Driven Mirror Descent with Input-Convex Neural Networks. SIAM J. Math. Data Sci. Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb
2023	J	`jnl`	Dynamic Bilevel Learning with Inexact Line Search. CoRR Mohammad Sadegh Salehi, Subhadip Mukherjee, Lindon Roberts, Matthias J. Ehrhardt
2023	—	`conf`	Fluctuation-Based Deconvolution in Fluorescence Microscopy Using Plug-and-Play Denoisers. SSVM Vasiliki Stergiopoulou, Subhadip Mukherjee, Luca Calatroni, Laure Blanc-Féraud
2023	J	`jnl`	Fluctuation-based deconvolution in fluorescence microscopy using plug-and-play denoisers. CoRR Vasiliki Stergiopoulou, Subhadip Mukherjee, Luca Calatroni, Laure Blanc-Féraud
2023	J	`jnl`	Implicit neural representations for unsupervised super-resolution and denoising of 4D flow MRI. CoRR Simone Saitta, Marcello Carioni, Subhadip Mukherjee, Carola-Bibiane Schönlieb, Alberto Redaelli
2023	J	`jnl`	Learned Reconstruction Methods With Convergence Guarantees: A survey of concepts and applications. IEEE Signal Process. Mag. Subhadip Mukherjee, Andreas Hauptmann, Ozan Öktem, Marcelo Pereyra, Carola-Bibiane Schönlieb
2023	J	`jnl`	NF-ULA: Langevin Monte Carlo with Normalizing Flow Prior for Imaging Inverse Problems. CoRR Ziruo Cai, Junqi Tang, Subhadip Mukherjee, Jinglai Li, Carola-Bibiane Schönlieb, Xiaoqun Zhang
2023	J	`jnl`	Provably Convergent Data-Driven Convex-Nonconvex Regularization. CoRR Zakhar Shumaylov, Jeremy Budd, Subhadip Mukherjee, Carola-Bibiane Schönlieb
2023	J	`jnl`	Provably Convergent Plug-and-Play Quasi-Newton Methods. CoRR Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb
2023	Misc	`conf`	Robust Data-Driven Accelerated Mirror Descent. ICASSP Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Andreas Hauptmann, Carola-Bibiane Schönlieb
2023	J	`jnl`	Unsupervised approaches based on optimal transport and convex analysis for inverse problems in imaging. CoRR Marcello Carioni, Subhadip Mukherjee, Hong Ye Tan, Junqi Tang
2022	J	`jnl`	Accelerating Deep Unrolling Networks via Dimensionality Reduction. CoRR Junqi Tang, Subhadip Mukherjee, Carola-Bibiane Schönlieb
2022	J	`jnl`	Learned reconstruction with convergence guarantees. CoRR Subhadip Mukherjee, Andreas Hauptmann, Ozan Öktem, Marcelo Pereyra, Carola-Bibiane Schönlieb
2022	J	`jnl`	Quantization-aware phase retrieval. Int. J. Wavelets Multiresolution Inf. Process. Subhadip Mukherjee, Chandra Sekhar Seelamantula
2022	Misc	`conf`	Stylegan-Induced Data-Driven Regularization for Inverse Problems. ICASSP Arthur Conmy, Subhadip Mukherjee, Carola-Bibiane Schönlieb
2022	J	`jnl`	Tree species classification from hyperspectral data using graph-regularized neural networks. CoRR Debmita Bandyopadhyay, Subhadip Mukherjee
2022	—	`conf`	VCI Construction and Shifting Strategy Based Steganography for 3D Images. CICBA Subhadip Mukherjee, Sunita Sarkar, Somnath Mukhopadhyay
2021	—	`conf`	Adversarially Learned Iterative Reconstruction for Imaging Inverse Problems. SSVM Subhadip Mukherjee, Ozan Öktem, Carola-Bibiane Schönlieb
2021	J	`jnl`	Adversarially learned iterative reconstruction for imaging inverse problems. CoRR Subhadip Mukherjee, Ozan Öktem, Carola-Bibiane Schönlieb
2021	A*	`conf`	End-to-end reconstruction meets data-driven regularization for inverse problems. NeurIPS Subhadip Mukherjee, Marcello Carioni, Ozan Öktem, Carola-Bibiane Schönlieb
2021	J	`jnl`	End-to-end reconstruction meets data-driven regularization for inverse problems. CoRR Subhadip Mukherjee, Marcello Carioni, Ozan Öktem, Carola-Bibiane Schönlieb
2021	J	`jnl`	Learning convex regularizers satisfying the variational source condition for inverse problems. CoRR Subhadip Mukherjee, Carola-Bibiane Schönlieb, Martin Burger
2021	J	`jnl`	Pencil shell matrix based image steganography with elevated embedding capacity. J. Inf. Secur. Appl. Subhadip Mukherjee, Sunita Sarkar, Somnath Mukhopadhyay
2021	J	`jnl`	StyleGAN-induced data-driven regularization for inverse problems. CoRR Arthur Conmy, Subhadip Mukherjee, Carola-Bibiane Schönlieb
2020	J	`jnl`	Learned convex regularizers for inverse problems. CoRR Subhadip Mukherjee, Sören Dittmer, Zakhar Shumaylov, Sebastian Lunz, Ozan Öktem, Carola-Bibiane Schönlieb
2020	—	`conf`	PhaseSense - Signal Reconstruction from Phase-Only Measurements via Quadratic Programming. SPCOM Vinith Kishore, Subhadip Mukherjee, Chandra Sekhar Seelamantula
2019	J	`jnl`	A Novel Method for High Capacity Reversible Data Hiding Scheme Using Difference Expansion. Int. J. Nat. Comput. Res. Subhadip Mukherjee, Biswapati Jana
2018	—	`conf`	A Singular Value Relaxation Technique for Learning Sparsifying Transforms. SPCOM Subhadip Mukherjee, Chandra Sekhar Seelamantula
2018	—	`conf`	Binary Compressive Sensing and Super-Resolution With Unknown Threshold. SPCOM Subhadip Mukherjee, Anjany Kumar Sekuboyina, Chandra Sekhar Seelamantula
2018	J	`jnl`	Phase Retrieval From Binary Measurements. IEEE Signal Process. Lett. Subhadip Mukherjee, Chandra Sekhar Seelamantula
2018	Misc	`conf`	Phasesplit: A Variable Splitting Framework for Phase Retrieval. ICASSP Subhadip Mukherjee, Suprosanna Shit, Chandra Sekhar Seelamantula
2018	J	`jnl`	Quantization-Aware Phase Retrieval. CoRR Subhadip Mukherjee, Chandra Sekhar Seelamantula
2018	A	`conf`	Speech Enhancement Using the Minimum-probability-of-error Criterion. INTERSPEECH Jishnu Sadasivan, Subhadip Mukherjee, Chandra Sekhar Seelamantula
2017	J	`jnl`	Deep Sparse Coding Using Optimized Linear Expansion of Thresholds. CoRR Debabrata Mahapatra, Subhadip Mukherjee, Chandra Sekhar Seelamantula
2017	J	`jnl`	Online Reweighted Least Squares Algorithm for Sparse Recovery and Application to Short-Wave Infrared Imaging. CoRR Subhadip Mukherjee, Deepak R., Huaijin G. Chen, Ashok Veeraraghavan, Chandra Sekhar Seelamantula
2017	J	`jnl`	Phase Retrieval From Binary Measurements. CoRR Subhadip Mukherjee, Chandra Sekhar Seelamantula
2016	Misc	`conf`	A divide-and-conquer dictionary learning algorithm and its performance analysis. ICASSP Subhadip Mukherjee, Chandra Sekhar Seelamantula
2016	Misc	`conf`	Joint dictionary training for bandwidth extension of speech signals. ICASSP Jishnu Sadasivan, Subhadip Mukherjee, Chandra Sekhar Seelamantula
2016	J	`jnl`	Super-Resolution From Binary Measurements With Unknown Threshold. CoRR Subhadip Mukherjee, Anjany Kumar Sekuboyina, Chandra Sekhar Seelamantula
2016	J	`jnl`	ℓ Signal Process. Subhadip Mukherjee, Rupam Basu, Chandra Sekhar Seelamantula
2014	J	`jnl`	A Robust Dictionary Learning Algorithm for Image Denoising. CoRR Subhadip Mukherjee, Rupam Basu, Chandra Sekhar Seelamantula
2014	J	`jnl`	A Split-and-Merge Dictionary Learning Algorithm for Sparse Representation. CoRR Subhadip Mukherjee, Chandra Sekhar Seelamantula
2014	—	`conf`	A split-and-merge dictionary learning algorithm for sparse representation: Application to image denoising. DSP Subhadip Mukherjee, Chandra Sekhar Seelamantula
2014	Misc	`conf`	An optimum shrinkage estimator based on minimum-probability-of-error criterion and application to signal denoising. ICASSP Jishnu Sadasivan, Subhadip Mukherjee, Chandra Sekhar Seelamantula
2014	J	`jnl`	Fienup Algorithm With Sparsity Constraints: Application to Frequency-Domain Optical-Coherence Tomography. IEEE Trans. Signal Process. Subhadip Mukherjee, Chandra Sekhar Seelamantula
2013	B	`conf`	Phase retrieval for a class of 2-D signals characterized by first-order difference equations. ICIP Basty Ajay Shenoy, Subhadip Mukherjee, Chandra Sekhar Seelamantula
2012	Misc	`conf`	An iterative algorithm for phase retrieval with sparsity constraints: application to frequency domain optical coherence tomography. ICASSP Subhadip Mukherjee, Chandra Sekhar Seelamantula