Computational Mathematics: Publications
Read the latest papers published by our researchers.
Results
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A fast method for imposing periodic boundary conditions on arbitrarily-shaped lattices in two dimensions
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On the robustness of inverse scattering for penetrable, homogeneous objects with complicated boundary
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Handbook of Convergence Theorems for (Stochastic) Gradient Methods
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A fast, high-order numerical method for the simulation of single-excitation states in quantum optics
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Coordinated drift of receptive fields in Hebbian/anti-Hebbian network models during noisy representation learning
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Linear optical random projections without holography
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Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances
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Generative Models of Multichannel Data from a Single Example—Application to Dust Emission
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Eliminating Artificial Boundary Conditions in Time-Dependent Density Functional Theory Using Fourier Contour Deformation
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Adaptive Tuning for Metropolis Adjusted Langevin Trajectories
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A geometrical connection between sparse and low-rank matrices and its application to manifold learning
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PELICAN: Permutation Equivariant and Lorentz Invariant or Covariant Aggregator Network for Particle Physics
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Replacement dynamics and the pathogenesis of the Alpha, Delta and Omicron variants of SARS-CoV-2
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Approximating the Gaussian as a Sum of Exponentials and Its Applications to the Fast Gauss Transform
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Corner Cases of the Generalized Tau Method
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Quantum Initial Conditions for Curved Inflating Universes
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An FMM Accelerated Poisson Solver for Complicated Geometries in the Plane using Function Extension
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pmwd: A Differentiable Cosmological Particle-Mesh N-body Library
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Differentiable Cosmological Simulation with Adjoint Method
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Learning Feynman Diagrams with Tensor Trains
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High-Resolution EEG Source Reconstruction with Boundary Element Fast Multipole Method Using Reciprocity Principle and TES Forward Model Matrix
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libdlr: Efficient imaginary time calculations using the discrete Lehmann representation
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Catching actin proteins in action
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Protocol for iterative optimization of modified peptides bound to protein targets
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Forced and spontaneous symmetry breaking in cell polarization
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Toward a Geometrical Understanding of Self-supervised Contrastive Learning
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A PDE-free, neural network-based eddy viscosity model coupled with RANS equations
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Generation and motion of interfaces in a mass-conserving reaction-diffusion system
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Compressed Sensing in the Presence of Speckle Noise
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Deep Learning the Functional Renormalization Group
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Finite inflation in curved space
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Robust ab initio solution of the cryo-EM reconstruction problem at low resolution with small data sets
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Quadrature by fundamental solutions: kernel-independent layer potential evaluation for large collections of simple objects
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A Weighted State Redistribution Algorithm for Embedded Boundary Grids
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Transition Rates and Efficiency of Collective Variables from Time-Dependent Biased Simulations
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Frame invariance and scalability of neural operators for partial differential equations
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A high-order integral equation-based solver for the time-dependent Schrödinger equation
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Towards Adaptive Simulations of Dispersive Tsunami Propagation from an Asteroid Impact
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High Performance Equilibrium Solvers for Integrated Magnetic Fusion Simulations
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A stable, efficient scheme for \({C}^n\) function extensions on smooth domains in \({R}^d\)
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A Statistical Linear Precoding Scheme Based on Random Iterative Method for Massive MIMO Systems
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HoloML in Stan: Low-photon Image Reconstruction
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Discrete Lehmann representation of imaginary time Green's functions
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Randomized Iterative Methods for Low-Complexity Large-Scale MIMO Detection
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Cosmological Information in the Marked Power Spectrum of the Galaxy Field
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Neural-Network Quantum States for Periodic Systems in Continuous Space
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Exploring the Adjugate Matrix Approach to Quaternion Pose Extraction
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Pathfinder: Parallel quasi-Newton variational inference