Zakhar Shumaylov

22 papers A* 4Misc 1Journal 17

Year	Rank	Type	Title / 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