Hasil Pencarian - Arnav Das

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  1. 1
    Physics-inspired deep learning to characterize the signal manifold of quasi-circular, spinning, non-precessing binary black hole mergers

    Physics-inspired deep learning to characterize the signal manifold of quasi-circular, spinning, non-precessing binary black hole mergers oleh Asad Khan, E.A. Huerta, Arnav Das

    Diterbitkan 2020-09-01
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  2. 2
    QuDiet: A classical simulation platform for qubit‐qudit hybrid quantum systems

    QuDiet: A classical simulation platform for qubit‐qudit hybrid quantum systems oleh Turbasu Chatterjee, Arnav Das, Subhayu Kumar Bala, Amit Saha, Anupam Chattopadhyay, Amlan Chakrabarti

    Diterbitkan 2023-12-01
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  3. 3
    Epiphany: predicting Hi-C contact maps from 1D epigenomic signals

    Epiphany: predicting Hi-C contact maps from 1D epigenomic signals oleh Rui Yang, Arnav Das, Vianne R. Gao, Alireza Karbalayghareh, William S. Noble, Jeffrey A. Bilmes, Christina S. Leslie

    Diterbitkan 2023-06-01
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  4. 4
    Author Correction: Epiphany: predicting Hi-C contact maps from 1D epigenomic signals

    Author Correction: Epiphany: predicting Hi-C contact maps from 1D epigenomic signals oleh Rui Yang, Arnav Das, Vianne R. Gao, Alireza Karbalayghareh, William S. Noble, Jeffrey A. Bilmes, Christina S. Leslie

    Diterbitkan 2024-05-01
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