Publications

(2024). Weakly Convex Regularisers for Inverse Problems: Convergence of Critical Points and Primal-Dual Optimisation.

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(2024). Data-Driven Convex Regularizers for Inverse Problems. 2024 IEEE ICASSP.

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(2023). Provably Convergent Data-Driven Convex-Nonconvex Regularization. NeurIPS 2023 Workshop on Deep Learning and Inverse Problems.

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(2023). The Curse Of Recursion: Generated Data Makes Models Forget.

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(2022). Quantum Initial Conditions for Curved Inflating Universes.

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(2022). Primordial power spectra from k-inflation with curvature. Physical Review D.

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(2021). Manipulating SGD with data ordering attacks. NeurIPS 2021.

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