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 | 419* | 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 | 87 | 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 | 76* | 2024 |
Primordial power spectra from -inflation with curvature Z Shumaylov, W Handley Physical Review D 105 (12), 123532, 2022 | 8 | 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 | 7 | 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 | 4 | 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 | 4 | 2023 |
Hamiltonian Matching for Symplectic Neural Integrators P Canizares, D Murari, CB Schönlieb, F Sherry, Z Shumaylov arXiv preprint arXiv:2410.18262, 2024 | | 2024 |
Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups Z Shumaylov, P Zaika, J Rowbottom, F Sherry, M Weber, CB Schönlieb arXiv preprint arXiv:2410.02698, 2024 | | 2024 |
Score-based pullback Riemannian geometry W Diepeveen, G Batzolis, Z Shumaylov, CB Schönlieb arXiv preprint arXiv:2410.01950, 2024 | | 2024 |