Scalable Solvers for Cone Complementarity Problems in Frictional Multibody Dynamics. - Saibal De; Eduardo Corona; Paramsothy Jayakumar; Shravan K. Veerapaneni (HPEC, 2019)

Efficient MCMC Sampling for Bayesian Matrix Factorization by Breaking Posterior Symmetries. - Saibal De; Hadi Salehi; Alex A. Gorodetsky (CoRR, 2020)

Overcoming barriers to scalability in variational quantum Monte Carlo. - Tianchen Zhao; Saibal De; Brian Chen; James Stokes; Shravan K. Veerapaneni (SC, 2021)

Tensor-Train Compression of Discrete Element Method Simulation Data. - Saibal De; Eduardo Corona; Paramsothy Jayakumar; Shravan K. Veerapaneni (CoRR, 2022)

Efficient Computation of Tucker Decomposition for Streaming Scientific Data Compression. - Saibal De; Zitong Li; Hemanth Kolla; Eric T. Phipps (CoRR, 2023)

Accurate Data-Driven Surrogates of Dynamical Systems for Forward Propagation of Uncertainty. - Saibal De; Reese E. Jones; Hemanth Kolla (CoRR, 2023)

Continuous-variable neural network quantum states and the quantum rotor model. - James Stokes; Saibal De; Shravan K. Veerapaneni; Giuseppe Carleo (Quantum Mach. Intell., 2023)

Hybrid Parallel Tucker Decomposition of Streaming Data. - Saibal De; Hemanth Kolla; Antoine Meyer; Eric T. Phipps; Francesco Rizzi (PASC, 2024)

Space-Time Spectral Element Tensor Network Approach for Time Dependent Convection Diffusion Reaction Equation with Variable Coefficients. - Dibyendu Adak; Duc P. Truong; Radoslav G. Vuchkov; Saibal De; Derek DeSantis; Nathan V. Roberts; Kim Ø. Rasmussen; Boian S. Alexandrov (CoRR, 2024)

Variational quantum and neural quantum states algorithms for the linear complementarity problem. - Saibal De; Oliver Knitter; Rohan Kodati; Paramsothy Jayakumar; James Stokes; Shravan K. Veerapaneni (CoRR, 2025)