Learned convex regularizers for inverse problems. - Subhadip Mukherjee; Sören Dittmer; Zakhar Shumaylov; Sebastian Lunz; Ozan Öktem; Carola-Bibiane Schönlieb (CoRR, 2020)

Manipulating SGD with Data Ordering Attacks. - Ilia Shumailov; Zakhar Shumaylov; Dmitry Kazhdan; Yiren Zhao; Nicolas Papernot; Murat A. Erdogdu; Ross J. Anderson (NeurIPS, 2021)

The Curse of Recursion: Training on Generated Data Makes Models Forget. - Ilia Shumailov; Zakhar Shumaylov; Yiren Zhao; Yarin Gal; Nicolas Papernot; Ross J. Anderson (CoRR, 2023)

Provably Convergent Data-Driven Convex-Nonconvex Regularization. - Zakhar Shumaylov; Jeremy Budd; Subhadip Mukherjee; Carola-Bibiane Schönlieb (CoRR, 2023)

Data-Driven Convex Regularizers for Inverse Problems. - Subhadip Mukherjee; Sören Dittmer; Zakhar Shumaylov; Sebastian Lunz; Ozan Öktem; Carola B. Schönlieb (ICASSP, 2024)

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

Score-based pullback Riemannian geometry. - Willem Diepeveen; Georgios Batzolis; Zakhar Shumaylov; Carola-Bibiane Schönlieb (CoRR, 2024)

Hamiltonian Matching for Symplectic Neural Integrators. - Priscilla Canizares; Davide Murari; Carola-Bibiane Schönlieb; Ferdia Sherry; Zakhar Shumaylov (CoRR, 2024)

Benchmarking learned algorithms for computed tomography image reconstruction tasks. - Maximilian B. Kiss; Ander Biguri; Zakhar Shumaylov; Ferdia Sherry; Kees Joost Batenburg; Carola-Bibiane Schönlieb; Felix Lucka (CoRR, 2024)

Symplectic Neural Flows for Modeling and Discovery. - Priscilla Canizares; Davide Murari; Carola-Bibiane Schönlieb; Ferdia Sherry; Zakhar Shumaylov (CoRR, 2024)

AI models collapse when trained on recursively generated data. - Ilia Shumailov; Zakhar Shumaylov; Yiren Zhao; Nicolas Papernot; Ross J. Anderson; Yarin Gal (Nat., 2024)

Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups. - Zakhar Shumaylov; Peter Zaika; James Rowbottom; Ferdia Sherry; Melanie Weber 001; Carola-Bibiane Schönlieb (ICLR, 2025)

Generalized Lie Symmetries in Physics-Informed Neural Operators. - Amy Xiang Wang; Zakhar Shumaylov; Peter Zaika; Ferdia Sherry; Carola-Bibiane Schönlieb (CoRR, 2025)

Data-driven approaches to inverse problems. - Carola-Bibiane Schönlieb; Zakhar Shumaylov (CoRR, 2025)

On Information Geometry and Iterative Optimization in Model Compression: Operator Factorization. - Zakhar Shumaylov; Vasileios Tsiaras; Yannis Stylianou (CoRR, 2025)