10/2024 | Our paper on On Optimal Regularization Parameters via Bilevel Learning got published in the book on Data-driven Models in Inverse Problems. This is joint work with Seb Scott (Bath, UK) and Silvia Gazzola (Pisa, Italy). |
10/2024 | I was invited to join the Editorial Board of SIAM Journal on Imaging Sciences starting January 2025. |
10/2024 | Our paper on Practical Acceleration of the Condat-Vũ Algorithm got published in SIAM Journal on Imaging Sciences. This is work with Derek Driggs (formerly Cambridge, UK), Carola-Bibiane Schönlieb (Cambridge, UK) and Junqi Tang (Birmingham, UK). |
10/2024 | New preprint: A Primal-dual algorithm for image reconstruction with ICNNs. Joint work with Hok Shing Wong and Subhadip Mukherjee (Kharagpur, India). |
07/2024 | Our paper on Proximal Langevin Sampling With Inexact Proximal Mapping got published in SIAM Journal on Imaging Sciences. This is joint work with Lorenz Kuger (DESY Hamburg, Germany) and Carola-Bibiane Schönlieb (Cambridge, UK). |
06/2024 | New preprint: Coupling Analysis of the Asymptotic Behaviour of a Primal-Dual Langevin Algorithm. Joint work with Martin Burger, Lorenz Kuger and Lukas Weigand (all DESY, Germany). |
06/2024 | New preprint: A Guide to Stochastic Optimisation for Large-Scale Inverse Problems. Joint work with Zeljko Kereta (UCL, UK), Jingwei Liang (Shanghai Jiao Tong University, China) and Junqi Tang (Birmingham, UK). |
06/2024 | New preprint: Enhancing Dynamic CT Image Reconstruction with Neural Fields Through Explicit Motion Regularizers. Joint work with Pablo Arratia and Lisa Kreusser (both Bath, UK). |
06/2024 | New preprint: Learning Preconditioners for Inverse Problems. Joint work with Patrick Fahy (Bath, UK) and Mohammad Golbabaee (Bristol, UK). |
04/2024 | Our paper on Designing Stable Neural Networks using Convex Analysis and ODEs got published in Physica D: Nonlinear Phenomena. This is joint work with Elena Celledoni, Davide Murari, Brynjulf Owren (all NTNU, Norway), Carola-Bibiane Schönlieb and Ferdia Sherry (both Cambridge, UK). |
03/2024 | New preprint: Practical Acceleration of the Condat-Vũ Algorithm. Joint work with Derek Driggs (formerly Cambridge, UK), Carola-Bibiane Schönlieb (Cambridge, UK) and Junqi Tang (Birmingham, UK). |
03/2024 | Our paper on Stochastic Primal–Dual Hybrid Gradient Algorithm with Adaptive Step Sizes got published in Journal of Mathematical Imaging and Vision. Joint work with Antonin Chambolle (Paris-Dauphine, France), Claire Delplancke (EDF, France), Carola-Bibiane Schönlieb (Cambridge, UK) and Junqi Tang (Birmingham, UK). |
01/2024 | Our paper on Regularization of Inverse Problems: Deep Equilibrium Models versus Bilevel Learning got published in AIMS Numerical Algebra, Control and Optimization. This is joint work with Danilo Riccio (Queen Mary, UK) and Martin Benning (UCL, UK). |
01/2024 | Our paper on Uncertainty quantification in computed tomography pulmonary angiography got published by PNAS Nexus. This is joint work with Adwaye Rambojun (formerly Bath, UK; now GSK, UK), Audrey Repetti (Heriot-Watt, UK) and a team around Jonathan Rodrigues (Royal United Hospital, UK). |
11/2023 | Our paper on Analyzing Inexact Hypergradients for Bilevel Learning got published by IMA Journal of Applied Mathematics. This is joint work with Lindon Roberts (Sydney, Australia). |
10/2023 | Our paper on Regularising Inverse Problems with Generative Machine Learning Models got published by the Journal of Mathematical Imaging and Vision. This is joint work with Margaret Duff (STFC, UK) and Neill Campbell (Bath, UK). |
08/2023 | New preprint: Dynamic Bilevel Learning with Inexact Line Search. Joint work with Mohammad Sadegh Salehi (Bath, UK), Subhadip Mukherjee (Kharagpur, India) and Lindon Roberts (Sydney, Australia). |
07/2023 | Congratulations to Eric Baruch Gutiérrez Castillo for completing his PhD! |
07/2023 | Our paper on VAEs with structured image covariance applied to compressed sensing MRI got accepted by IOP Phyics in Medicine and Biology. This is joint work with Margaret Duff (STFC, UK), Neill Campbell (Bath, UK) and Ivor Simpson (Sussex, UK). |
07/2023 | New preprint: Proximal Langevin Sampling With Inexact Proximal Mapping. Joint work with Lorenz Kuger (DESY Hamburg, Germany) and Carola-Bibiane Schönlieb (Cambridge, UK). |
07/2023 | New preprint: Designing Stable Neural Networks using Convex Analysis and ODEs. Joint work with Elena Celledoni, Davide Murari, Brynjulf Owren (all NTNU, Norway), Carola-Bibiane Schönlieb and Ferdia Sherry (both Cambridge, UK). |
05/2023 | New preprint: On Optimal Regularization Parameters via Bilevel Learning. Joint work with Seb Scott and Silvia Gazzola (both Bath, UK). |
03/2023 | Congratulations to Margaret Duff for completing her PhD! |
03/2023 | We are looking for excellent candidates to join our team on image reconstruction as a PhD student. If you are interested, please find more information here. |
01/2023 | New preprint: Stochastic Primal Dual Hybrid Gradient Algorithm with Adaptive Step-Sizes, Joint work with Antonin Chambolle (Paris-Dauphine, France), Claire Delplancke (Bath, UK), Carola-Bibiane Schönlieb and Junqi Tang (both Cambridge, UK). |
01/2023 | New preprint: Uncertainty Quantification in CT pulmonary angiography. Joint work with Adwaye Rambojun (Bath, UK), Hend Komber, Jennifer Rossdale, Jay Suntharalingam, Jonathan Rodrigues (all Royal United Hospital, Bath, UK) and Audrey Repetti (Heriott Watt, UK). |
01/2023 | New preprint: Analyzing Inexact Hypergradients for Bilevel Learning. Joint work with Lindon Roberts (Sydney, Australia). |
11/2022 | We were awarded the John Ockendon Prize of the European Journal of Applied Mathematics for our paper on Structure-preserving deep learning. |
10/2022 | New preprint: Compressed Sensing MRI Reconstruction Regularized by VAEs with Structured Image Covariance. This is joint work with Margaret Duff, Neill Campbell (both Bath, UK) and Ivor Simpson (Sussex, UK). |
10/2022 | I joined the new founded AIMS journal on Applied Mathematics for Modern Challenges (AMMC) as an Associate Editor. The focus of the journal is to on real world applications of applied mathematics. |
09/2022 | Our paper on Imaging with Equivariant Deep Learning has been accepted by the IEEE Signal Processing Magazine. It is also available on arxiv. This is joint work with Dongdong Chen (U Edinburgh, UK), Mike Davies (U Edinburgh, UK), Carola-Bibiane Schönlieb (Cambridge, UK), Ferdia Sherry (Cambridge, UK), Julián Tachella (Lyon, France).
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07/2022 | New preprint out On the convergence and sampling of randomized primal-dual algorithms and their application to parallel MRI reconstruction. This is joint work with Eric B. Gutierrez (Bath, UK) and Claire Delplancke (Bath, UK). |
06/2022 | New preprint out on Regularization of Inverse Problems: Deep Equilibrium Models versus Bilevel Learning. This is joint work with Danilo Riccio and Martin Benning (both Queen Mary, UK). |
05/2022 | I was selected to join the EPSRC Mathematical Sciences Early Career Forum. A key aim of the forum is to act as an informal advisory stream regarding EPSRC’s mathematical sciences strategy. |
05/2022 | Huge congratulations to Claire Deplancke who won the 2022 CoSeC Impact Award! |
03/2022 | The opening workshop of our EPSRC Programme Grant on the Mathematics of Deep Learning will take place on 21/22 April in Bath with the option to virtually join in. Some more information is available here. |
03/2022 | Our paper on Enhancing the spatial resolution of hyperpolarized carbon‐13 MRI of human brain metabolism using structure guidance was the No 1 Pick for March by the Editor of Magnetic Resonance in Medicine. Always good to see when people like your research! |
03/2022 | I am co-organizing with Daniel Lesnic (Leeds) a special issue on "The Applied Mathematics of Machine Learning" for IMA Journal of Applied Mathematics. Please let me know if you are interested in submitting to our special issue. |
01/2022 | Our programme grant on the Mathematics of Deep Learning just started! Looking forward to 5 years of exciting research. See here for more details. |