Vishnu Jejjala

Orcid: 0000-0003-2603-6717

According to our database1, Vishnu Jejjala authored at least 14 papers between 2012 and 2023.

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Bibliography

2023
MSSM: A Macaulay2 Package for the Vacuum Moduli Space.
ACM Commun. Comput. Algebra, June, 2023

Learning to be Simple.
CoRR, 2023

2022
Machine Learned Calabi-Yau Metrics and Curvature.
CoRR, 2022

Towards Quantum Advantage on Noisy Quantum Computers.
CoRR, 2022

Identifying equivalent Calabi-Yau topologies: A discrete challenge from math and physics for machine learning.
CoRR, 2022

Efficient Quantum Computation of the Fermionic Boundary Operator.
CoRR, 2022

2021
Machine Learning Kreuzer-Skarke Calabi-Yau Threefolds.
CoRR, 2021

Learning knot invariants across dimensions.
CoRR, 2021

2020
Neural Network Approximations for Calabi-Yau Metrics.
CoRR, 2020

Disentangling a Deep Learned Volume Formula.
CoRR, 2020

Baryons from Mesons: A Machine Learning Perspective.
CoRR, 2020

2019
Restriction enzymes use a 24 dimensional coding space to recognize 6 base long DNA sequences.
CoRR, 2019

2018
hep-th.
CoRR, 2018

2012
Modeling Time's Arrow.
Entropy, 2012


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