The curse of recursion: Training on generated data makes models forget I Shumailov, Z Shumaylov, Y Zhao, Y Gal, N Papernot, R Anderson
arXiv preprint arXiv:2305.17493, 2023
156 * 2023 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
71 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
64 * 2024 Primordial power spectra from -inflation with curvature Z Shumaylov, W Handley
Physical Review D 105 (12), 123532, 2022
7 2022 Quantum initial conditions for curved inflating universes MI Letey, Z Shumaylov, FJ Agocs, WJ Handley, MP Hobson, AN Lasenby
arXiv preprint arXiv:2211.17248, 2022
4 2022 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
2 2023 Weakly Convex Regularisers for Inverse Problems: Convergence of Critical Points and Primal-Dual Optimisation Z Shumaylov, J Budd, S Mukherjee, CB Schönlieb
arXiv preprint arXiv:2402.01052, 2024
2024