Sparse Gaussian ICA. - Nilin Abrahamsen; Philippe Rigollet (CoRR, 2018)

Taming the sign problem of explicitly antisymmetrized neural networks via rough activation functions. - Nilin Abrahamsen; Lin Lin 001 (CoRR, 2022)

Convergence of stochastic gradient descent on parameterized sphere with applications to variational Monte Carlo simulation. - Nilin Abrahamsen; Zhiyan Ding; Gil Goldshlager; Lin Lin 001 (CoRR, 2023)

Anti-symmetric Barron functions and their approximation with sums of determinants. - Nilin Abrahamsen; Lin Lin 001 (CoRR, 2023)

Inventing painting styles through natural inspiration. - Nilin Abrahamsen; Jiahao Yao (CoRR, 2023)

Simple and deterministic spectral concentration bound for local Hamiltonians. - Nilin Abrahamsen (Quantum Inf. Comput., 2023)

A Kaczmarz-inspired approach to accelerate the optimization of neural network wavefunctions. - Gil Goldshlager; Nilin Abrahamsen; Lin Lin 001 (CoRR, 2024)

Convergence of variational Monte Carlo simulation and scale-invariant pre-training. - Nilin Abrahamsen; Zhiyan Ding; Gil Goldshlager; Lin Lin 001 (J. Comput. Phys., 2024)

Anti-symmetric barron functions and their approximation with sums of determinants. - Nilin Abrahamsen; Lin Lin (J. Comput. Phys., 2025)