User profiles for Gil Goldshlager
Gil GoldshlagerPhD Student in Applied Mathematics, UC Berkeley Verified email at berkeley.edu Cited by 38 |
Explicitly antisymmetrized neural network layers for variational Monte Carlo simulation
J Lin, G Goldshlager, L Lin - Journal of Computational Physics, 2023 - Elsevier
The combination of neural networks and quantum Monte Carlo methods has arisen as a
promising path forward for highly accurate electronic structure calculations. Previous proposals …
promising path forward for highly accurate electronic structure calculations. Previous proposals …
A Kaczmarz-inspired approach to accelerate the optimization of neural network wavefunctions
Neural network wavefunctions optimized using the variational Monte Carlo method have
been shown to produce highly accurate results for the electronic structure of atoms and small …
been shown to produce highly accurate results for the electronic structure of atoms and small …
Convergence of stochastic gradient descent on parameterized sphere with applications to variational Monte Carlo simulation
We analyze stochastic gradient descent (SGD) type algorithms on a high-dimensional sphere
which is parameterized by a neural network up to a normalization constant. We provide a …
which is parameterized by a neural network up to a normalization constant. We provide a …
Faucet: streaming de novo assembly graph construction
Motivation We present Faucet, a two-pass streaming algorithm for assembly graph construction.
Faucet builds an assembly graph incrementally as each read is processed. Thus, reads …
Faucet builds an assembly graph incrementally as each read is processed. Thus, reads …
[PDF][PDF] Approximating kCSP for large alphabets
G Goldshlager, D Moshkovitz - Preprint, 2015 - people.csail.mit.edu
In this work we show that the constraint satisfaction problem (CSP), where constraints
depend on k variables each and variables range over alphabet of size d, can be efficiently …
depend on k variables each and variables range over alphabet of size d, can be efficiently …
[PDF][PDF] Characterizing x-Monotone and Outerplanar Thrackles
G Goldshlager - www-math.mit.edu
… Gil Goldshlager Under the Direction of Aaron Potechin This paper is dedicated to the
memory of my grandfather, Jack Salz, who played a huge part in inspiring my interest in …
memory of my grandfather, Jack Salz, who played a huge part in inspiring my interest in …
Iterative methods, combinatorial optimization, and linear programming beyond the universal barrier
AD Sidford - 2015 - dspace.mit.edu
In this thesis we consider fundamental problems in continuous and combinatorial
optimization that occur pervasively in practice and show how to improve upon the best known …
optimization that occur pervasively in practice and show how to improve upon the best known …
[PDF][PDF] The Law of Social Proof as Manifested at MIT
C Duffy, MZN Chang - 2012 - stuff.mit.edu
… I would like to thank my fellow Rickoids Gil Goldshlager and Catherine Wong for helping
me collect data. I also would like to thank my tutor, Mr. ZeNan Chang, for his insights on how to …
me collect data. I also would like to thank my tutor, Mr. ZeNan Chang, for his insights on how to …
[PDF][PDF] REFLECTIONS Journal Reviewers
C Hughes, T Kilborn, E Martin, R McGinley, T Ottinger… - REFLECTIONS, 2010 - gctm.org
Manuscript Format: Manuscripts are blind reviewed by members of the editorial review
board. For this reason, each manuscript should include a cover sheet containing: title of …
board. For this reason, each manuscript should include a cover sheet containing: title of …
[CITATION][C] 6.338 Final Paper: Parallel Huffman Encoding and Move to Front Encoding in Julia
G Goldshlager - 2015