James Stokes

33 papers A* 1A 3Misc 1Journal 28
YearRankTypeTitle / Venue / Authors
2025 J jnl
Retentive neural quantum states: efficient ansätze for
Mach. Learn. Sci. Technol.
Oliver Knitter, Dan Zhao, James Stokes, Martin Ganahl, Stefan Leichenauer, Shravan K. Veerapaneni
2025 J jnl
Variational quantum and neural quantum states algorithms for the linear complementarity problem.
CoRR
Saibal De, Oliver Knitter, Rohan Kodati, Paramsothy Jayakumar, James Stokes, Shravan K. Veerapaneni
2024 J jnl
Retentive Neural Quantum States: Efficient Ansätze for Ab Initio Quantum Chemistry.
CoRR
Oliver Knitter, Dan Zhao, James Stokes, Martin Ganahl, Stefan Leichenauer, Shravan K. Veerapaneni
2023 J jnl
Continuous-variable neural network quantum states and the quantum rotor model.
Quantum Mach. Intell.
James Stokes, Saibal De, Shravan K. Veerapaneni, Giuseppe Carleo
2023 J jnl
Meta-variational quantum Monte Carlo.
Quantum Mach. Intell.
Tianchen Zhao, James Stokes, Shravan K. Veerapaneni
2023 J jnl
Numerical and geometrical aspects of flow-based variational quantum Monte Carlo.
Mach. Learn. Sci. Technol.
James Stokes, Brian Chen, Shravan K. Veerapaneni
2023 J jnl
Quantum-inspired nonlinear Galerkin ansatz for high-dimensional HJB equations.
CoRR
Chuhao Sun, Asaf Cohen, James Stokes, Shravan K. Veerapaneni
2023 J jnl
Scalable neural quantum states architecture for quantum chemistry.
Mach. Learn. Sci. Technol.
Tianchen Zhao, James Stokes, Shravan K. Veerapaneni
2022 J jnl
Digital quantum simulation of Schrödinger dynamics using adaptive approximations of potential functions.
CoRR
Tenzan Araki, James Stokes, Shravan K. Veerapaneni
2022 J jnl
Gauge Equivariant Neural Networks for 2+1D U(1) Gauge Theory Simulations in Hamiltonian Formulation.
CoRR
Di Luo, Shunyue Yuan, James Stokes, Bryan K. Clark
2022 J jnl
Numerical and geometrical aspects of flow-based variational quantum Monte Carlo.
CoRR
James Stokes, Brian Chen, Shravan K. Veerapaneni
2022 J jnl
Quantum-inspired variational algorithms for partial differential equations: Application to financial derivative pricing.
CoRR
Tianchen Zhao, Chuhao Sun, Asaf Cohen, James Stokes, Shravan K. Veerapaneni
2022 J jnl
Scalable neural quantum states architecture for quantum chemistry.
CoRR
Tianchen Zhao, James Stokes, Shravan K. Veerapaneni
2022 J jnl
Toward Neural Network Simulation of Variational Quantum Algorithms.
CoRR
Oliver Knitter, James Stokes, Shravan K. Veerapaneni
2021 J jnl
Continuous-variable neural-network quantum states and the quantum rotor model.
CoRR
James Stokes, Saibal De, Shravan K. Veerapaneni, Giuseppe Carleo
2021 J jnl
Natural evolution strategies and variational Monte Carlo.
Mach. Learn. Sci. Technol.
Tianchen Zhao, Giuseppe Carleo, James Stokes, Shravan K. Veerapaneni
2021 A conf
Overcoming barriers to scalability in variational quantum Monte Carlo.
SC
Tianchen Zhao, Saibal De, Brian Chen, James Stokes, Shravan K. Veerapaneni
2021 J jnl
Overcoming barriers to scalability in variational quantum Monte Carlo.
CoRR
Tianchen Zhao, Saibal De, Brian Chen, James Stokes, Shravan K. Veerapaneni
2020 J jnl
Gauge equivariant neural networks for quantum lattice gauge theories.
CoRR
Di Luo, Giuseppe Carleo, Bryan K. Clark, James Stokes
2020 J jnl
Meta Variational Monte Carlo.
CoRR
Tianchen Zhao, James Stokes, Oliver Knitter, Brian Chen, Shravan K. Veerapaneni
2020 J jnl
Natural evolution strategies and quantum approximate optimization.
CoRR
Tianchen Zhao, Giuseppe Carleo, James Stokes, Shravan K. Veerapaneni
2020 J jnl
Phases of two-dimensional spinless lattice fermions with first-quantized deep neural-network quantum states.
CoRR
James Stokes, Javier Robledo Moreno, Eftychios A. Pnevmatikakis, Giuseppe Carleo
2020 J jnl
Quantum Natural Gradient.
Quantum
James Stokes, Josh A. Izaac, Nathan Killoran, Giuseppe Carleo
2019 A conf
Fisher-Rao Metric, Geometry, and Complexity of Neural Networks.
AISTATS
Tengyuan Liang, Tomaso A. Poggio, Alexander Rakhlin, James Stokes
2019 A conf
Interaction Matters: A Note on Non-asymptotic Local Convergence of Generative Adversarial Networks.
AISTATS
Tengyuan Liang, James Stokes
2019 A* conf
Learning Shared Knowledge for Deep Lifelong Learning using Deconvolutional Networks.
IJCAI
Seungwon Lee, James Stokes, Eric Eaton
2019 J jnl
Mean-field Analysis of Batch Normalization.
CoRR
Mingwei Wei, James Stokes, David J. Schwab
2019 J jnl
Probabilistic Modeling with Matrix Product States.
CoRR
James Stokes, John Terilla
2019 J jnl
Probabilistic Modeling with Matrix Product States.
Entropy
James Stokes, John Terilla
2019 J jnl
Quantum Natural Gradient.
CoRR
James Stokes, Josh A. Izaac, Nathan Killoran, Giuseppe Carleo
2018 J jnl
Interaction Matters: A Note on Non-asymptotic Local Convergence of Generative Adversarial Networks.
CoRR
Tengyuan Liang, James Stokes
2017 J jnl
Fisher-Rao Metric, Geometry, and Complexity of Neural Networks.
CoRR
Tengyuan Liang, Tomaso A. Poggio, Alexander Rakhlin, James Stokes
2004 Misc conf
Validation and Calibration of Human Performance Models to Support Simulation-Based Acquisition.
WSC
Floyd Glenn, Kelly Neville, James Stokes, Joan Ryder