Publications

Preprints

Published

• G. Goldshlager, N. Abrahamsen, L. Lin, A Kaczmarz-inspired approach to accelerate the optimization of neural network wavefunctions, Journal of Computational Physics 2024
• N. Abrahamsen, Z. Ding, G. Goldshlager, L. Lin, Convergence of variational Monte Carlo simulation and scale-invariant pre-training, Journal of Computational Physics 2024
• J. Lin, G. Goldshlager, L. Lin, Explicitly antisymmetrized neural network layers for variational Monte Carlo simulation, Journal of Computational Physics 2022

From past lives

• R. Rozov, G. Goldshlager, E. Halperin, R. Shamir, Faucet: streaming de novo assembly graph construction, Bioinformatics 2018
• G. Goldshlager, D. Moshkovitz, Approximating kCSP For Large Alphabets, unpublished technical report 2015