A High-Order Solver for the Heat Equation in 1D domains with Moving Boundaries. - Shravan K. Veerapaneni; George Biros (SIAM J. Sci. Comput., 2007)

The Chebyshev fast Gauss and nonuniform fast Fourier transforms and their application to the evaluation of distributed heat potentials. - Shravan K. Veerapaneni; George Biros (J. Comput. Phys., 2008)

A numerical method for simulating the dynamics of 3D axisymmetric vesicles suspended in viscous flows. - Shravan K. Veerapaneni; Denis Gueyffier; George Biros; Denis Zorin (J. Comput. Phys., 2009)

A boundary integral method for simulating the dynamics of inextensible vesicles suspended in a viscous fluid in 2D. - Shravan K. Veerapaneni; Denis Gueyffier; Denis Zorin; George Biros (J. Comput. Phys., 2009)

Petascale Direct Numerical Simulation of Blood Flow on 200K Cores and Heterogeneous Architectures. - Abtin Rahimian; Ilya Lashuk; Shravan K. Veerapaneni; Aparna Chandramowlishwaran; Dhairya Malhotra; Logan Moon; Rahul S. Sampath; Aashay Shringarpure; Jeffrey S. Vetter; Richard W. Vuduc; Denis Zorin; George Biros (SC, 2010)

Parallel Fast Gauss Transform. - Rahul S. Sampath; Hari Sundar; Shravan K. Veerapaneni (SC, 2010)

Dynamic simulation of locally inextensible vesicles suspended in an arbitrary two-dimensional domain, a boundary integral method. - Abtin Rahimian; Shravan K. Veerapaneni; George Biros (J. Comput. Phys., 2010)

The Fast Generalized Gauss Transform. - Marina Spivak; Shravan K. Veerapaneni; Leslie Greengard (SIAM J. Sci. Comput., 2010)

A fast algorithm for simulating vesicle flows in three dimensions. - Shravan K. Veerapaneni; Abtin Rahimian; George Biros; Denis Zorin (J. Comput. Phys., 2011)

Integral Equation Methods for Unsteady Stokes Flow in Two Dimensions. - Shidong Jiang; Shravan K. Veerapaneni; Leslie Greengard (SIAM J. Sci. Comput., 2012)

A Fast Algorithm for Spherical Grid Rotations and Its Application to Singular Quadrature. - Zydrunas Gimbutas; Shravan K. Veerapaneni (SIAM J. Sci. Comput., 2013)

Boundary integral method for the flow of vesicles with viscosity contrast in three dimensions. - Abtin Rahimian; Shravan K. Veerapaneni; Denis Zorin; George Biros (J. Comput. Phys., 2015)

Spectrally Accurate Quadratures for Evaluation of Layer Potentials Close to the Boundary for the 2D Stokes and Laplace Equations. - Alex H. Barnett; Bowei Wu; Shravan K. Veerapaneni (SIAM J. Sci. Comput., 2015)

Integral equation methods for vesicle electrohydrodynamics in three dimensions. - Shravan K. Veerapaneni (J. Comput. Phys., 2016)

A Fast Algorithm for Simulating Multiphase Flows Through Periodic Geometries of Arbitrary Shape. - Gary R. Marple; Alex H. Barnett; Adrianna Gillman; Shravan K. Veerapaneni (SIAM J. Sci. Comput., 2016)

An integral equation formulation for rigid bodies in Stokes flow in three dimensions. - Eduardo Corona; Leslie Greengard; Manas Rachh; Shravan K. Veerapaneni (J. Comput. Phys., 2017)

Boundary integral equation analysis for suspension of spheres in Stokes flow. - Eduardo Corona; Shravan K. Veerapaneni (J. Comput. Phys., 2018)

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

Fast integral equation methods for linear and semilinear heat equations in moving domains. - Jun Wang 082; Leslie Greengard; Shidong Jiang; Shravan K. Veerapaneni (CoRR, 2019)

Shape optimization of Stokesian peristaltic pumps using boundary integral methods. - Marc Bonnet; Ruowen Liu; Shravan K. Veerapaneni (Adv. Comput. Math., 2020)

Natural evolution strategies and quantum approximate optimization. - Tianchen Zhao; Giuseppe Carleo; James Stokes; Shravan K. Veerapaneni (CoRR, 2020)

Meta Variational Monte Carlo. - Tianchen Zhao; James Stokes; Oliver Knitter; Brian Chen; Shravan K. Veerapaneni (CoRR, 2020)

Solution of Stokes flow in complex nonsmooth 2D geometries via a linear-scaling high-order adaptive integral equation scheme. - Bowei Wu; Hai Zhu; Alex H. Barnett; Shravan K. Veerapaneni (J. Comput. Phys., 2020)

A scalable computational platform for particulate Stokes suspensions. - Wen Yan; Eduardo Corona; Dhairya Malhotra; Shravan K. Veerapaneni; Michael J. Shelley (J. Comput. Phys., 2020)

Behavioral Cloning in Atari Games Using a Combined Variational Autoencoder and Predictor Model. - Brian Chen; Siddhant Tandon; David J. Gorsich; Alex A. Gorodetsky; Shravan K. Veerapaneni (CEC, 2021)

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

Natural evolution strategies and variational Monte Carlo. - Tianchen Zhao; Giuseppe Carleo; James Stokes; Shravan K. Veerapaneni (Mach. Learn. Sci. Technol., 2021)

An Active Learning Framework for Constructing High-Fidelity Mobility Maps. - Gary R. Marple; David J. Gorsich; Paramsothy Jayakumar; Shravan K. Veerapaneni (IEEE Trans. Veh. Technol., 2021)

A fast direct solver for integral equations on locally refined boundary discretizations and its application to multiphase flow simulations. - Yabin Zhang 004; Adrianna Gillman; Shravan K. Veerapaneni (Adv. Comput. Math., 2022)

Numerical and geometrical aspects of flow-based variational quantum Monte Carlo. - James Stokes; Brian Chen; Shravan K. Veerapaneni (CoRR, 2022)

Quantum-inspired variational algorithms for partial differential equations: Application to financial derivative pricing. - Tianchen Zhao; Chuhao Sun; Asaf Cohen 003; James Stokes; Shravan K. Veerapaneni (CoRR, 2022)

Scalable neural quantum states architecture for quantum chemistry. - Tianchen Zhao; James Stokes; Shravan K. Veerapaneni (CoRR, 2022)

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

Toward Neural Network Simulation of Variational Quantum Algorithms. - Oliver Knitter; James Stokes; Shravan K. Veerapaneni (CoRR, 2022)

Digital quantum simulation of Schrödinger dynamics using adaptive approximations of potential functions. - Tenzan Araki; James Stokes; Shravan K. Veerapaneni (CoRR, 2022)

Continuous-variable optimization with neural network quantum states. - Yabin Zhang 004; David J. Gorsich; Paramsothy Jayakumar; Shravan K. Veerapaneni (Quantum Mach. Intell., 2022)

High-Order Close Evaluation of Laplace Layer Potentials: A Differential Geometric Approach. - Hai Zhu; Shravan K. Veerapaneni (SIAM J. Sci. Comput., 2022)

Fast and accurate solvers for simulating Janus particle suspensions in Stokes flow. - Ryan Kohl; Eduardo Corona; Vani Cheruvu; Shravan K. Veerapaneni (Adv. Comput. Math., 2023)

Quantum-inspired nonlinear Galerkin ansatz for high-dimensional HJB equations. - Chuhao Sun; Asaf Cohen 003; James Stokes; Shravan K. Veerapaneni (CoRR, 2023)

A fast, high-order scheme for evaluating volume potentials on complex 2D geometries via area-to-line integral conversion and domain mappings. - Thomas G. Anderson; Hai Zhu; Shravan K. Veerapaneni (J. Comput. Phys., 2023)

Shape Optimization of Peristaltic Pumps Transporting Rigid Particles in Stokes Flow. - Marc Bonnet; Ruowen Liu; Shravan K. Veerapaneni; Hai Zhu (SIAM J. Sci. Comput., 2023)

Quantifying mixing in arbitrary fluid domains: a Padé approximation approach. - Thomas G. Anderson; Marc Bonnet; Shravan K. Veerapaneni (Numer. Algorithms, 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)

Meta-variational quantum Monte Carlo. - Tianchen Zhao; James Stokes; Shravan K. Veerapaneni (Quantum Mach. Intell., 2023)

Retentive Neural Quantum States: Efficient Ansätze for Ab Initio Quantum Chemistry. - Oliver Knitter; Dan Zhao; James Stokes; Martin Ganahl; Stefan Leichenauer; Shravan K. Veerapaneni (CoRR, 2024)

An Incremental Tensor Train Decomposition Algorithm. - Doruk Aksoy; David J. Gorsich; Shravan K. Veerapaneni; Alex A. Gorodetsky (SIAM J. Sci. Comput., 2024)

Low-Rank Tensor-Network Encodings for Video-to-Action Behavioral Cloning. - Brian Chen; Doruk Aksoy; David J. Gorsich; Shravan K. Veerapaneni; Alex A. Gorodetsky (Trans. Mach. Learn. Res., 2024)

Retentive neural quantum states: efficient ansätze for ab initio quantum chemistry. - Oliver Knitter; Dan Zhao; James Stokes; Martin Ganahl; Stefan Leichenauer; Shravan K. Veerapaneni (Mach. Learn. Sci. Technol., 2025)

Shape Optimization of Slip-Driven Axisymmetric Microswimmers. - Ruowen Liu; Hai Zhu; Hanliang Guo; Marc Bonnet; Shravan K. Veerapaneni (SIAM J. Sci. Comput., 2025)

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)

Boundary integral equation analysis for spheroidal suspensions. - Leo Crowder; Tianyue Li; Eduardo Corona; Shravan K. Veerapaneni (CoRR, 2025)

Convergence analysis for the Barrett-Garcke-Nurnberg method of transport type. - Genming Bai; Harald Garcke; Shravan K. Veerapaneni (CoRR, 2025)

Large Language Model Scaling Laws for Neural Quantum States in Quantum Chemistry. - Oliver Knitter; Dan Zhao; Stefan Leichenauer; Shravan K. Veerapaneni (CoRR, 2025)

A convergent finite element method for two-phase Stokes flow driven by surface tension. - Genming Bai; Harald Garcke; Shravan K. Veerapaneni (CoRR, 2025)