| AI models collapse when trained on recursively generated data I Shumailov, Z Shumaylov, Y Zhao, N Papernot, R Anderson, Y Gal Nature 631 (8022), 755-759, 2024 | 1469* | 2024 |
| Manipulating sgd with data ordering attacks I Shumailov, Z Shumaylov, D Kazhdan, Y Zhao, N Papernot, MA Erdogdu, ... Advances in Neural Information Processing Systems 34, 18021-18032, 2021 | 126 | 2021 |
| Data-driven convex regularizers for inverse problems S Mukherjee, S Dittmer, Z Shumaylov, S Lunz, O Öktem, CB Schönlieb ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 106* | 2024 |
| Weakly Convex Regularisers for Inverse Problems: Convergence of Critical Points and Primal-Dual Optimisation Z Shumaylov, J Budd, S Mukherjee, CB Schönlieb Forty-first International Conference on Machine Learning (ICML24), 2024 | 25 | 2024 |
| Primordial power spectra from -inflation with curvature Z Shumaylov, W Handley Physical Review D 105 (12), 123532, 2022 | 15 | 2022 |
| Quantum initial conditions for curved inflating universes MI Letey, Z Shumaylov, FJ Agocs, WJ Handley, MP Hobson, AN Lasenby Physical Review D 109 (12), 123502, 2024 | 14 | 2024 |
| Provably Convergent Data-Driven Convex-Nonconvex Regularization Z Shumaylov, J Budd, S Mukherjee, CB Schönlieb NeurIPS 2023 Workshop on Deep Learning and Inverse Problems., 2023 | 12 | 2023 |
| Lie Algebra Canonicalization: Equivariant Neural Operators Under Arbitrary Lie Groups Z Shumaylov, P Zaika, J Rowbottom, F Sherry, M Weber, CB Schönlieb ICLR 2025, 2024 | 11 | 2024 |
| Benchmarking learned algorithms for computed tomography image reconstruction tasks MB Kiss, A Biguri, Z Shumaylov, F Sherry, KJ Batenburg, CB Schönlieb, ... AIMS Applied Mathematics for Modern Challenges, 2024 | 9 | 2024 |
| Symplectic neural flows for modeling and discovery P Canizares, D Murari, CB Schönlieb, F Sherry, Z Shumaylov arXiv preprint arXiv:2412.16787, 2024 | 6 | 2024 |
| Score-based pullback Riemannian geometry W Diepeveen, G Batzolis, Z Shumaylov, CB Schönlieb ICML 2025, 2024 | 6* | 2024 |
| Hamiltonian Matching for Symplectic Neural Integrators P Canizares, D Murari, CB Schönlieb, F Sherry, Z Shumaylov NeurReps Workshop at NeurIPS 2024, 2024 | 3 | 2024 |
| Learning regularization functionals for inverse problems: A comparative study J Hertrich, HS Wong, A Denker, S Ducotterd, Z Fang, M Haltmeier, ... arXiv preprint arXiv:2510.01755, 2025 | 2 | 2025 |
| Generalized Lie Symmetries in Physics-Informed Neural Operators AX Wang, Z Shumaylov, P Zaika, F Sherry, CB Schönlieb International Conference on Scientific Computing and Machine Learning 2025, 2025 | 2 | 2025 |
| When is a System Discoverable from Data? Discovery Requires Chaos Z Shumaylov, P Zaika, P Scholl, G Kutyniok, L Horesh, CB Schönlieb arXiv preprint arXiv:2511.08860, 2025 | | 2025 |
| On Information Geometry and Iterative Optimization in Model Compression: Operator Factorization Z Shumaylov, V Tsiaras, Y Stylianou arXiv preprint arXiv:2507.09428, 2025 | | 2025 |
| Data-driven approaches to inverse problems CB Schönlieb, Z Shumaylov arXiv preprint arXiv:2506.11732, 2025 | | 2025 |
Ilia ShumailovAI Sequrity CompanyVerified email at sequrity.ai
