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Gil Goldshlager

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2020 – today

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2024
[j3]
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  - journals/jcphy/AbrahamsenDGL24
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Nilin Abrahamsen, Zhiyan Ding, Gil Goldshlager, Lin Lin:
Convergence of variational Monte Carlo simulation and scale-invariant pre-training. J. Comput. Phys. 513: 113140 (2024)
[i3]
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  - journals/corr/abs-2401-10190
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Gil Goldshlager, Nilin Abrahamsen, Lin Lin:
A Kaczmarz-inspired approach to accelerate the optimization of neural network wavefunctions. CoRR abs/2401.10190 (2024)
2023
[j2]
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Jeffmin Lin, Gil Goldshlager, Lin Lin:
Explicitly antisymmetrized neural network layers for variational Monte Carlo simulation. J. Comput. Phys. 474: 111765 (2023)
[i2]
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  - journals/corr/abs-2303-11602
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Nilin Abrahamsen, Zhiyan Ding, Gil Goldshlager, Lin Lin:
Convergence of stochastic gradient descent on parameterized sphere with applications to variational Monte Carlo simulation. CoRR abs/2303.11602 (2023)
2021
[i1]
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  - journals/corr/abs-2112-03491
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Jeffmin Lin, Gil Goldshlager, Lin Lin:
Explicitly antisymmetrized neural network layers for variational Monte Carlo simulation. CoRR abs/2112.03491 (2021)

2010 – 2019

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2018
[j1]
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  - journals/bioinformatics/RozovGHS18
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Roye Rozov, Gil Goldshlager, Eran Halperin, Ron Shamir:
Faucet: streaming de novo assembly graph construction. Bioinform. 34(1): 147-154 (2018)

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