Obserwuj
Saibal De
Tytuł
Cytowane przez
Cytowane przez
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Overcoming barriers to scalability in variational quantum Monte Carlo
T Zhao, S De, B Chen, J Stokes, S Veerapaneni
Proceedings of the International Conference for High Performance Computing …, 2021
192021
Continuous-variable neural network quantum states and the quantum rotor model
J Stokes, S De, S Veerapaneni, G Carleo
Quantum Machine Intelligence 5 (1), 12, 2023
112023
Scalable Solvers for Cone Complementarity Problems in Frictional Multibody Dynamics
S De, E Corona, P Jayakumar, S Veerapaneni
2019 IEEE High Performance Extreme Computing Conference (HPEC), 1-7, 2019
102019
Efficient MCMC Sampling for Bayesian Matrix Factorization by Breaking Posterior Symmetries
S De, H Salehi, A Gorodetsky
arXiv preprint arXiv:2006.04295, 2020
42020
Efficient Computation of Tucker Decomposition for Streaming Scientific Data Compression
S De, Z Li, H Kolla, ET Phipps
arXiv preprint arXiv:2308.16395, 2023
32023
Tensor-train compression of discrete element method simulation data
S De, E Corona, P Jayakumar, S Veerapaneni
Journal of Terramechanics 113, 100967, 2024
22024
Accurate data‐driven surrogates of dynamical systems for forward propagation of uncertainty
S De, RE Jones, H Kolla
International Journal for Numerical Methods in Engineering 125 (23), e7576, 2024
12024
Space-Time Spectral Element Tensor Network Approach for Time Dependent Convection Diffusion Reaction Equation with Variable Coefficients
D Adak, DP Truong, R Vuchkov, S De, D DeSantis, NV Roberts, ...
arXiv preprint arXiv:2411.04026, 2024
12024
Hybrid Parallel Tucker Decomposition of Streaming Data
S De, H Kolla, A Meyer, ET Phipps, F Rizzi
Proceedings of the Platform for Advanced Scientific Computing Conference, 1-12, 2024
2024
Improving accuracy of stochastic collocation in ODE/PDE systems via data-driven factorization of the model dynamics
S De, RE Jones, H Kolla
Sandia National Lab.(SNL-CA), Livermore, CA (United States), 2023
2023
Incremental update techniques for online analysis of streaming tensor data
ET Phipps, S De, H Kolla, NT Johnson, TG Kolda, Z Li
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2023
2023
Comprehensive uncertainty quantification (UQ) for full engineering models by solving probability density function (PDF) equation
H Kolla, S De, RE Jones, MA Hansen, JA Plews
Sandia National Lab.(SNL-CA), Livermore, CA (United States); Sandia National …, 2022
2022
Uncertainty Propagation in Dynamical Systems via Stochastic Collocation on Model Dynamics.
S De, R Jones, H Kolla
Sandia National Lab.(SNL-CA), Livermore, CA (United States), 2022
2022
Efficient Bayesian Inference Approaches for Matrix and Tensor Learning: Applications to Surrogate Modeling of Complex Systems.
S De, A Gorodetsky
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022
2022
Fast Solvers and Simulation Data Compression Algorithms for Granular Media and Complex Fluid Flows
S De
2021
Applying Variational Quantum and Quantum-Inspired Algorithms to the Linear Complementarity Problem
S De, O Knitter, R Kodati, J Stokes, S Veerapaneni
2024 Joint Mathematics Meetings (JMM 2024), 0
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