James Stokes

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 27

Top Topics

Partial Differential Equations

Markovian Decision

Top Venues

Quantum Mach. Intell.

Mach. Learn. Sci. Technol.

Publications

James Stokes, Saibal De, Shravan K. Veerapaneni, Giuseppe Carleo
Continuous-variable neural network quantum states and the quantum rotor model. Quantum Mach. Intell. 5 (1) (2023)
Tianchen Zhao, James Stokes, Shravan K. Veerapaneni
Meta-variational quantum Monte Carlo. Quantum Mach. Intell. 5 (1) (2023)
Chuhao Sun, Asaf Cohen, James Stokes, Shravan K. Veerapaneni
Quantum-inspired nonlinear Galerkin ansatz for high-dimensional HJB equations. CoRR (2023)
James Stokes, Brian Chen, Shravan K. Veerapaneni
Numerical and geometrical aspects of flow-based variational quantum Monte Carlo. CoRR (2022)
Oliver Knitter, James Stokes, Shravan K. Veerapaneni
Toward Neural Network Simulation of Variational Quantum Algorithms. CoRR (2022)
Tianchen Zhao, James Stokes, Shravan K. Veerapaneni
Scalable neural quantum states architecture for quantum chemistry. CoRR (2022)
Tianchen Zhao, Chuhao Sun, Asaf Cohen, James Stokes, Shravan K. Veerapaneni
Quantum-inspired variational algorithms for partial differential equations: Application to financial derivative pricing. CoRR (2022)
Tenzan Araki, James Stokes, Shravan K. Veerapaneni
Digital quantum simulation of Schrödinger dynamics using adaptive approximations of potential functions. CoRR (2022)
Di Luo, Shunyue Yuan, James Stokes, Bryan K. Clark
Gauge Equivariant Neural Networks for 2+1D U(1) Gauge Theory Simulations in Hamiltonian Formulation. CoRR (2022)
Tianchen Zhao, Giuseppe Carleo, James Stokes, Shravan Veerapaneni
Natural evolution strategies and variational Monte Carlo. Mach. Learn. Sci. Technol. 2 (2) (2021)
Tianchen Zhao, Saibal De, Brian Chen, James Stokes, Shravan Veerapaneni
Overcoming barriers to scalability in variational quantum Monte Carlo. CoRR (2021)
James Stokes, Saibal De, Shravan Veerapaneni, Giuseppe Carleo
Continuous-variable neural-network quantum states and the quantum rotor model. CoRR (2021)
Tianchen Zhao, Saibal De, Brian Chen, James Stokes, Shravan Veerapaneni
Overcoming barriers to scalability in variational quantum Monte Carlo. SC (2021)
Tianchen Zhao, Giuseppe Carleo, James Stokes, Shravan Veerapaneni
Natural evolution strategies and quantum approximate optimization. CoRR (2020)
Di Luo, Giuseppe Carleo, Bryan K. Clark, James Stokes
Gauge equivariant neural networks for quantum lattice gauge theories. CoRR (2020)
James Stokes, Josh A. Izaac, Nathan Killoran, Giuseppe Carleo
Quantum Natural Gradient. Quantum 4 (2020)
Tianchen Zhao, James Stokes, Oliver Knitter, Brian Chen, Shravan Veerapaneni
Meta Variational Monte Carlo. CoRR (2020)
James Stokes, Javier Robledo Moreno, Eftychios A. Pnevmatikakis, Giuseppe Carleo
Phases of two-dimensional spinless lattice fermions with first-quantized deep neural-network quantum states. CoRR (2020)
James Stokes, John Terilla
Probabilistic Modeling with Matrix Product States. CoRR (2019)
Mingwei Wei, James Stokes, David J. Schwab
Mean-field Analysis of Batch Normalization. CoRR (2019)
Seungwon Lee, James Stokes, Eric Eaton
Learning Shared Knowledge for Deep Lifelong Learning using Deconvolutional Networks. IJCAI (2019)
Tengyuan Liang, James Stokes
Interaction Matters: A Note on Non-asymptotic Local Convergence of Generative Adversarial Networks. AISTATS (2019)
Tengyuan Liang, Tomaso A. Poggio, Alexander Rakhlin, James Stokes
Fisher-Rao Metric, Geometry, and Complexity of Neural Networks. AISTATS (2019)
James Stokes, Josh A. Izaac, Nathan Killoran, Giuseppe Carleo
Quantum Natural Gradient. CoRR (2019)
James Stokes, John Terilla
Probabilistic Modeling with Matrix Product States. Entropy 21 (12) (2019)
Tengyuan Liang, James Stokes
Interaction Matters: A Note on Non-asymptotic Local Convergence of Generative Adversarial Networks. CoRR (2018)
Tengyuan Liang, Tomaso A. Poggio, Alexander Rakhlin, James Stokes
Fisher-Rao Metric, Geometry, and Complexity of Neural Networks. CoRR (2017)
Floyd Glenn, Kelly Neville, James Stokes, Joan Ryder
Validation and Calibration of Human Performance Models to Support Simulation-Based Acquisition. WSC (2004)