James Stokes

According to our database, James Stokes authored at least 22 papers between 2004 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Meta-variational quantum Monte Carlo.

Tianchen Zhao, James Stokes, Shravan K. Veerapaneni

Quantum Mach. Intell., June, 2023

Continuous-variable neural network quantum states and the quantum rotor model.

James Stokes, Saibal De, Shravan K. Veerapaneni, Giuseppe Carleo

Quantum Mach. Intell., June, 2023

Quantum-inspired nonlinear Galerkin ansatz for high-dimensional HJB equations.

Chuhao Sun, Asaf Cohen, James Stokes, Shravan K. Veerapaneni

CoRR, 2023

2022

Digital quantum simulation of Schrödinger dynamics using adaptive approximations of potential functions.

Tenzan Araki, James Stokes, Shravan K. Veerapaneni

CoRR, 2022

Gauge Equivariant Neural Networks for 2+1D U(1) Gauge Theory Simulations in Hamiltonian Formulation.

Di Luo, Shunyue Yuan, James Stokes, Bryan K. Clark

CoRR, 2022

Toward Neural Network Simulation of Variational Quantum Algorithms.

Oliver Knitter, James Stokes, Shravan K. Veerapaneni

CoRR, 2022

Scalable neural quantum states architecture for quantum chemistry.

Tianchen Zhao, James Stokes, Shravan K. Veerapaneni

CoRR, 2022

Quantum-inspired variational algorithms for partial differential equations: Application to financial derivative pricing.

Tianchen Zhao, Chuhao Sun, Asaf Cohen, James Stokes, Shravan K. Veerapaneni

CoRR, 2022

Numerical and geometrical aspects of flow-based variational quantum Monte Carlo.

James Stokes, Brian Chen, Shravan K. Veerapaneni

CoRR, 2022

2021

Natural evolution strategies and variational Monte Carlo.

Tianchen Zhao, Giuseppe Carleo, James Stokes, Shravan K. Veerapaneni

Mach. Learn. Sci. Technol., 2021

Overcoming barriers to scalability in variational quantum Monte Carlo.

Tianchen Zhao, Saibal De, Brian Chen, James Stokes, Shravan K. Veerapaneni

Proceedings of the International Conference for High Performance Computing, 2021

2020

Quantum Natural Gradient.

James Stokes, Josh A. Izaac, Nathan Killoran, Giuseppe Carleo

Quantum, 2020

Gauge equivariant neural networks for quantum lattice gauge theories.

Di Luo, Giuseppe Carleo, Bryan K. Clark, James Stokes

CoRR, 2020

Meta Variational Monte Carlo.

Tianchen Zhao, James Stokes, Oliver Knitter, Brian Chen, Shravan K. Veerapaneni

CoRR, 2020

Phases of two-dimensional spinless lattice fermions with first-quantized deep neural-network quantum states.

James Stokes, Javier Robledo Moreno, Eftychios A. Pnevmatikakis, Giuseppe Carleo

CoRR, 2020

Natural evolution strategies and quantum approximate optimization.

Tianchen Zhao, Giuseppe Carleo, James Stokes, Shravan K. Veerapaneni

CoRR, 2020

2019

Probabilistic Modeling with Matrix Product States.

James Stokes, John Terilla

Entropy, 2019

Mean-field Analysis of Batch Normalization.

Mingwei Wei, James Stokes, David J. Schwab

CoRR, 2019

Learning Shared Knowledge for Deep Lifelong Learning using Deconvolutional Networks.

Seungwon Lee, James Stokes, Eric Eaton

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Interaction Matters: A Note on Non-asymptotic Local Convergence of Generative Adversarial Networks.

Tengyuan Liang, James Stokes

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Fisher-Rao Metric, Geometry, and Complexity of Neural Networks.

Tengyuan Liang, Tomaso A. Poggio, Alexander Rakhlin, James Stokes

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2004

Validation and Calibration of Human Performance Models to Support Simulation-Based Acquisition.

Floyd Glenn, Kelly Neville, James Stokes, Joan Ryder

Proceedings of the 36th conference on Winter simulation, 2004