Zakhar Shumaylov

22 papers A* 4Misc 1Journal 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
Diffeomorphism-Equivariant Neural Networks.
CoRR
Josephine Elisabeth Oettinger, Zakhar Shumaylov, Johannes Bostelmann, Jan Lellmann, Carola-Bibiane Schönlieb
2025 J jnl
Data-driven approaches to inverse problems.
CoRR
Carola-Bibiane Schönlieb, Zakhar Shumaylov
2025 J jnl
Generalized Lie Symmetries in Physics-Informed Neural Operators.
CoRR
Amy Xiang Wang, Zakhar Shumaylov, Peter Zaika, Ferdia Sherry, Carola-Bibiane Schönlieb
2025 J jnl
Learning Regularization Functionals for Inverse Problems: A Comparative Study.
CoRR
Johannes Hertrich, Hok Shing Wong, Alexander Denker, Stanislas Ducotterd, Zhenghan Fang, Markus Haltmeier, Zeljko Kereta, Erich Kobler, Oscar Leong, Mohammad Sadegh Salehi, Carola-Bibiane Schönlieb, Johannes Schwab, Zakhar Shumaylov, Jeremias Sulam, German Shâma Wache, Martin Zach, Yasi Zhang, Matthias J. Ehrhardt, Sebastian Neumayer
2025 A* conf
Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups.
ICLR
Zakhar Shumaylov, Peter Zaika, James Rowbottom, Ferdia Sherry, Melanie Weber, Carola-Bibiane Schönlieb
2025 J jnl
On Information Geometry and Iterative Optimization in Model Compression: Operator Factorization.
CoRR
Zakhar Shumaylov, Vasileios Tsiaras, Yannis Stylianou
2025 A* conf
Score-based Pullback Riemannian Geometry: Extracting the Data Manifold Geometry using Anisotropic Flows.
ICML
Willem Diepeveen, Georgios Batzolis, Zakhar Shumaylov, Carola-Bibiane Schönlieb
2025 J jnl
When is a System Discoverable from Data? Discovery Requires Chaos.
CoRR
Zakhar Shumaylov, Peter Zaika, Philipp Scholl, Gitta Kutyniok, Lior Horesh, Carola-Bibiane Schönlieb
2024 J jnl
AI models collapse when trained on recursively generated data.
Nat.
Ilia Shumailov, Zakhar Shumaylov, Yiren Zhao, Nicolas Papernot, Ross J. Anderson, Yarin Gal
2024 J jnl
Benchmarking learned algorithms for computed tomography image reconstruction tasks.
CoRR
Maximilian B. Kiss, Ander Biguri, Zakhar Shumaylov, Ferdia Sherry, Kees Joost Batenburg, Carola-Bibiane Schönlieb, Felix Lucka
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
Hamiltonian Matching for Symplectic Neural Integrators.
CoRR
Priscilla Canizares, Davide Murari, Carola-Bibiane Schönlieb, Ferdia Sherry, Zakhar Shumaylov
2024 J jnl
Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups.
CoRR
Zakhar Shumaylov, Peter Zaika, James Rowbottom, Ferdia Sherry, Melanie Weber, Carola-Bibiane Schönlieb
2024 J jnl
Score-based pullback Riemannian geometry.
CoRR
Willem Diepeveen, Georgios Batzolis, Zakhar Shumaylov, Carola-Bibiane Schönlieb
2024 J jnl
Symplectic Neural Flows for Modeling and Discovery.
CoRR
Priscilla Canizares, Davide Murari, Carola-Bibiane Schönlieb, Ferdia Sherry, Zakhar Shumaylov
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
Provably Convergent Data-Driven Convex-Nonconvex Regularization.
CoRR
Zakhar Shumaylov, Jeremy Budd, Subhadip Mukherjee, Carola-Bibiane Schönlieb
2023 J jnl
The Curse of Recursion: Training on Generated Data Makes Models Forget.
CoRR
Ilia Shumailov, Zakhar Shumaylov, Yiren Zhao, Yarin Gal, Nicolas Papernot, Ross J. Anderson
2021 A* conf
Manipulating SGD with Data Ordering Attacks.
NeurIPS
Ilia Shumailov, Zakhar Shumaylov, Dmitry Kazhdan, Yiren Zhao, Nicolas Papernot, Murat A. Erdogdu, Ross J. Anderson
2021 J jnl
Manipulating SGD with Data Ordering Attacks.
CoRR
Ilia Shumailov, Zakhar Shumaylov, Dmitry Kazhdan, Yiren Zhao, Nicolas Papernot, Murat A. Erdogdu, Ross J. Anderson
2020 J jnl
Learned convex regularizers for inverse problems.
CoRR
Subhadip Mukherjee, Sören Dittmer, Zakhar Shumaylov, Sebastian Lunz, Ozan Öktem, Carola-Bibiane Schönlieb