Follow
Z. Shumaylov
Title
Cited by
Cited by
Year
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
112*2023
Learned convex regularizers for inverse problems
S Mukherjee, S Dittmer, Z Shumaylov, S Lunz, O Öktem, CB Schönlieb
arXiv preprint arXiv:2008.02839, 2020
732020
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
672021
Primordial power spectra from -inflation with curvature
Z Shumaylov, W Handley
Physical Review D 105 (12), 123532, 2022
72022
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
32022
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
12023
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
The system can't perform the operation now. Try again later.
Articles 1–7