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ORCIDJames Stokes
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2020 – today
- 2023
[j5]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): 1-12 (2023)- [j4]Tianchen Zhao, James Stokes, Shravan K. Veerapaneni:
Meta-variational quantum Monte Carlo. Quantum Mach. Intell. 5(1): 1-9 (2023) - [i18]Chuhao Sun, Asaf Cohen, James Stokes, Shravan K. Veerapaneni:
Quantum-inspired nonlinear Galerkin ansatz for high-dimensional HJB equations. CoRR abs/2311.12239 (2023) - 2022
- [i17]James Stokes, Brian Chen, Shravan K. Veerapaneni:
Numerical and geometrical aspects of flow-based variational quantum Monte Carlo. CoRR abs/2203.14824 (2022) - [i16]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 abs/2207.10838 (2022) - [i15]Tianchen Zhao, James Stokes, Shravan K. Veerapaneni:
Scalable neural quantum states architecture for quantum chemistry. CoRR abs/2208.05637 (2022) - [i14]Oliver Knitter, James Stokes, Shravan K. Veerapaneni:
Toward Neural Network Simulation of Variational Quantum Algorithms. CoRR abs/2211.02929 (2022) - [i13]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 abs/2211.03198 (2022) - [i12]Tenzan Araki, James Stokes, Shravan K. Veerapaneni:
Digital quantum simulation of Schrödinger dynamics using adaptive approximations of potential functions. CoRR abs/2212.04942 (2022) - 2021
- [j3]Tianchen Zhao, Giuseppe Carleo, James Stokes, Shravan K. Veerapaneni:
Natural evolution strategies and variational Monte Carlo. Mach. Learn. Sci. Technol. 2(2): 02 (2021) - [c5]Tianchen Zhao, Saibal De, Brian Chen, James Stokes, Shravan K. Veerapaneni:
Overcoming barriers to scalability in variational quantum Monte Carlo. SC 2021: 62 - [i11]Tianchen Zhao, Saibal De, Brian Chen, James Stokes, Shravan K. Veerapaneni:
Overcoming barriers to scalability in variational quantum Monte Carlo. CoRR abs/2106.13308 (2021) - [i10]James Stokes, Saibal De, Shravan K. Veerapaneni, Giuseppe Carleo:
Continuous-variable neural-network quantum states and the quantum rotor model. CoRR abs/2107.07105 (2021) - 2020
- [j2]James Stokes, Josh A. Izaac, Nathan Killoran, Giuseppe Carleo:
Quantum Natural Gradient. Quantum 4: 269 (2020) - [i9]Tianchen Zhao, Giuseppe Carleo, James Stokes, Shravan K. Veerapaneni:
Natural evolution strategies and quantum approximate optimization. CoRR abs/2005.04447 (2020) - [i8]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 abs/2008.00118 (2020) - [i7]Tianchen Zhao, James Stokes, Oliver Knitter, Brian Chen, Shravan K. Veerapaneni:
Meta Variational Monte Carlo. CoRR abs/2011.10614 (2020) - [i6]Di Luo, Giuseppe Carleo, Bryan K. Clark, James Stokes:
Gauge equivariant neural networks for quantum lattice gauge theories. CoRR abs/2012.05232 (2020)
2010 – 2019
- 2019
- [j1]James Stokes, John Terilla:
Probabilistic Modeling with Matrix Product States. Entropy 21(12): 1236 (2019) - [c4]Tengyuan Liang, Tomaso A. Poggio, Alexander Rakhlin, James Stokes:
Fisher-Rao Metric, Geometry, and Complexity of Neural Networks. AISTATS 2019: 888-896 - [c3]Tengyuan Liang, James Stokes:
Interaction Matters: A Note on Non-asymptotic Local Convergence of Generative Adversarial Networks. AISTATS 2019: 907-915 - [c2]Seungwon Lee, James Stokes, Eric Eaton:
Learning Shared Knowledge for Deep Lifelong Learning using Deconvolutional Networks. IJCAI 2019: 2837-2844 - [i5]James Stokes, John Terilla:
Probabilistic Modeling with Matrix Product States. CoRR abs/1902.06888 (2019) - [i4]Mingwei Wei, James Stokes, David J. Schwab:
Mean-field Analysis of Batch Normalization. CoRR abs/1903.02606 (2019) - [i3]James Stokes, Josh A. Izaac, Nathan Killoran, Giuseppe Carleo:
Quantum Natural Gradient. CoRR abs/1909.02108 (2019) - 2018
- [i2]Tengyuan Liang, James Stokes:
Interaction Matters: A Note on Non-asymptotic Local Convergence of Generative Adversarial Networks. CoRR abs/1802.06132 (2018) - 2017
- [i1]Tengyuan Liang, Tomaso A. Poggio, Alexander Rakhlin, James Stokes:
Fisher-Rao Metric, Geometry, and Complexity of Neural Networks. CoRR abs/1711.01530 (2017)
2000 – 2009
- 2004
- [c1]Floyd Glenn, Kelly Neville, James Stokes, Joan Ryder:
Validation and Calibration of Human Performance Models to Support Simulation-Based Acquisition. WSC 2004: 1533-1540
Coauthor Index
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