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Alex M. Bronstein

Designing Nonlinear Photonic Crystals for High-Dimensional Quantum State Engineering

Apr 13, 2023
Eyal Rozenberg, Aviv Karnieli, Ofir Yesharim, Joshua Foley-Comer, Sivan Trajtenberg-Mills, Sarika Mishra, Shashi Prabhakar, Ravindra Pratap, Daniel Freedman, Alex M. Bronstein, Ady Arie

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* ICLR Machine Learning for Materials (ML4Materials) Workshop 2023. arXiv admin note: text overlap with arXiv:2112.05934

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Transformer Vs. MLP-Mixer Exponential Expressive Gap For NLP Problems

Aug 17, 2022
Dan Navon, Alex M. Bronstein

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Random Search Hyper-Parameter Tuning: Expected Improvement Estimation and the Corresponding Lower Bound

Aug 17, 2022
Dan Navon, Alex M. Bronstein

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Fast Nonlinear Vector Quantile Regression

May 30, 2022
Aviv A. Rosenberg, Sanketh Vedula, Yaniv Romano, Alex M. Bronstein

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* 27 pages, 11 figures, submitted to NeurIPS 2022

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SPDCinv: Inverse Quantum-Optical Design of High-Dimensional Qudits

Dec 11, 2021
Eyal Rozenberg, Aviv Karnieli, Ofir Yesharim, Joshua Foley-Comer, Sivan Trajtenberg-Mills, Daniel Freedman, Alex M. Bronstein, Ady Arie

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* A code supporting the paper has been published (https://github.com/EyalRozenberg1/SPDCinv)

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Inverse Design of Quantum Holograms in Three-Dimensional Nonlinear Photonic Crystals

Feb 20, 2021
Eyal Rozenberg, Aviv Karnieli, Ofir Yesharim, Sivan Trajtenberg-Mills, Daniel Freedman, Alex M. Bronstein, Ady Arie

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* A supporting code will be published shortly

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