Publications

(2022). A remark on Kashin's discrepancy argument and partial coloring in the Komlós conjecture. arXiv preprint arXiv:2206.08734.

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(2022). Phase Retrieval: From Computational Imaging to Machine Learning. arXiv preprint arXiv:2204.03554.

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(2022). Optimal denoising of rotationally invariant rectangular matrices. arXiv preprint arXiv:2203.07752.

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(2022). Construction of optimal spectral methods in phase retrieval. Mathematical and Scientific Machine Learning.

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(2021). Perturbative construction of mean-field equations in extensive-rank matrix factorization and denoising. arXiv preprint arXiv:2110.08775.

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(2020). Phase retrieval in high dimensions: Statistical and computational phase transitions. NeurIPS 2020.

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(2020). The spiked matrix model with generative priors. IEEE Transactions on Information Theory.

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(2020). Landscape complexity for the empirical risk of generalized linear models. Mathematical and Scientific Machine Learning.

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(2019). High-temperature expansions and message passing algorithms. Journal of Statistical Mechanics: Theory and Experiment.

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(2019). Quantum Monte Carlo algorithm for out-of-equilibrium Green's functions at long times. Physical Review B.

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(2019). The committee machine: computational to statistical gaps in learning a two-layers neural network. Journal of Statistical Mechanics: Theory and Experiment.

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(2018). Vlasov description of the effects of nonlinear chromaticity on transverse coherent beam instabilities. Physical Review Accelerators and Beams.

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(2018). The mutual information in random linear estimation beyond iid matrices. 2018 IEEE International Symposium on Information Theory (ISIT).

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(2018). Experiments and Theory on Beam Stabilization with Second-Order Chromaticity. 61st ICFA ABDW on High-Intensity and High-Brightness Hadron Beams (HB'18), Daejeon, Korea, 17-22 June 2018.

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(2015). Islands of stability and recurrence times in AdS. Physical Review D.

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