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Saibal De
ORCID
Publication Activity (10 Years)
Years Active: 2019-2024
Publications (10 Years): 10
Top Topics
Monte Carlo
Top Venues
CoRR
HPEC
Quantum Mach. Intell.
PASC
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Publications
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Saibal De
,
Hemanth Kolla
,
Antoine Meyer
,
Eric T. Phipps
,
Francesco Rizzi
Hybrid Parallel Tucker Decomposition of Streaming Data.
PASC
(2024)
Saibal De
,
Zitong Li
,
Hemanth Kolla
,
Eric T. Phipps
Efficient Computation of Tucker Decomposition for Streaming Scientific Data Compression.
CoRR
(2023)
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)
Saibal De
,
Reese E. Jones
,
Hemanth Kolla
Accurate Data-Driven Surrogates of Dynamical Systems for Forward Propagation of Uncertainty.
CoRR
(2023)
Saibal De
,
Eduardo Corona
,
Paramsothy Jayakumar
,
Shravan K. Veerapaneni
Tensor-Train Compression of Discrete Element Method Simulation Data.
CoRR
(2022)
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)
Saibal De
,
Hadi Salehi
,
Alex A. Gorodetsky
Efficient MCMC Sampling for Bayesian Matrix Factorization by Breaking Posterior Symmetries.
CoRR
(2020)
Saibal De
,
Eduardo Corona
,
Paramsothy Jayakumar
,
Shravan K. Veerapaneni
Scalable Solvers for Cone Complementarity Problems in Frictional Multibody Dynamics.
HPEC
(2019)