Publications

Zakhar Shumaylov, Peter Zaika, James Rowbottom, Ferdia Sherry, Melanie Weber, Carola-Bibiane Schönlieb (2024). Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups.

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Zakhar Shumaylov, Ilia Shumailov, Yiren Zhao, Yarin Gal, Nicolas Papernot, Ross Anderson (2024). AI models collapse when trained on recursively generated data. Nature (2024).

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Willem Diepeveen, Georgios Batzolis, Zakhar Shumaylov, Carola-Bibiane Schönlieb (2024). Score-based pullback Riemannian geometry.

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Zakhar Shumaylov, Jeremy Budd, Subhadip Mukherjee, Carola Schönlieb (2024). Weakly Convex Regularisers for Inverse Problems: Convergence of Critical Points and Primal-Dual Optimisation. ICML 2024.

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Subhadip Mukherjee, Sören Dittmer, Zakhar Shumaylov, Sebastian Lunz, Ozan Öktem, Carola-Bibiane Schönlieb (2024). Data-Driven Convex Regularizers for Inverse Problems. 2024 IEEE ICASSP.

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Zakhar Shumaylov, Jeremy Budd, Subhadip Mukherjee, Carola Schönlieb (2023). Provably Convergent Data-Driven Convex-Nonconvex Regularization. NeurIPS 2023 Workshop on Deep Learning and Inverse Problems.

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Zakhar Shumaylov, Mary I Letey, Fruzsina J Agocs, Will J Handley, Michael P Hobson, Anthony N Lasenby (2022). Quantum Initial Conditions for Curved Inflating Universes. Physical Review D.

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Zakhar Shumaylov, Will Handley (2022). Primordial power spectra from k-inflation with curvature. Physical Review D.

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Ilia Shumailov, Zakhar Shumaylov, Dmitry Kazhdan, Yiren Zhao, Nicolas Papernot, Murat A Erdogdu, Ross J Anderson (2021). Manipulating SGD with data ordering attacks. NeurIPS 2021.

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