Shumaylov, Zakhar

6 publications

ICLR 2025 Lie Algebra Canonicalization: Equivariant Neural Operators Under Arbitrary Lie Groups Zakhar Shumaylov, Peter Zaika, James Rowbottom, Ferdia Sherry, Melanie Weber, Carola-Bibiane Schönlieb

ICML 2025 Score-Based Pullback Riemannian Geometry: Extracting the Data Manifold Geometry Using Anisotropic Flows Willem Diepeveen, Georgios Batzolis, Zakhar Shumaylov, Carola-Bibiane Schönlieb

NeurIPSW 2024 Hamiltonian Matching for Symplectic Neural Integrators Priscilla Canizares, Davide Murari, Carola-Bibiane Schönlieb, Ferdia Sherry, Zakhar Shumaylov

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 Manipulating SGD with Data Ordering Attacks I Shumailov, Zakhar Shumaylov, Dmitry Kazhdan, Yiren Zhao, Nicolas Papernot, Murat A Erdogdu, Ross J Anderson