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Z. Shumaylov
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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
134*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
692021
Learned convex regularizers for inverse problems
S Mukherjee, S Dittmer, Z Shumaylov, S Lunz, O Öktem, CB Schönlieb
arXiv preprint arXiv:2008.02839, 2020
622020
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
42022
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
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Articles 1–7