Computational Mathematics: Publications
Read the latest papers published by our researchers.
Results
-
A Bayesian approach for extracting free energy profiles from cryo-electron microscopy experiments using a path collective variable
-
Regression models for compositional data: General log-contrast formulations, proximal optimization, and microbiome data applications
-
A causal view on compositional data
-
Rank-normalization, folding, and localization: An improved \(R\) for assessing convergence of MCMC
-
Adaptive Monte Carlo augmented with normalizing flows
-
cuFINUFFT: a load-balanced GPU library for general-purpose nonuniform FFTs
-
AI-assisted super-resolution cosmological simulations
-
Recovering missing data in coherent diffraction imaging
-
AI-assisted superresolution cosmological simulations
-
AI-assisted super-resolution cosmological simulations II: Halo substructures, velocities and higher order statistics
-
Low rank compression in the numerical solution of the nonequilibrium Dyson equation
-
Fast multipole methods for evaluation of layer potentials with locally-corrected quadratures
-
Learning physically consistent differential equation models from data using group sparsity
-
deepregression: a Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression
-
Comment on “Stepped pressure profile equilibria in cylindrical plasmas via partial Taylor relaxation” [J. Plasma Physics (2006), vol. 72, part 6, pp. 1167–1171]
-
Fast computation of latent correlations
-
More data or more parameters? Investigating the effect of data structure on generalization
-
Autobahn: Automorphism-based Graph Neural Nets
-
Aliasing error of the exp \(β\sqrt{1-z^2}\) kernel in the nonuniform fast Fourier transform
-
A randomization-based causal inference framework for uncovering environmental exposure effects on human gut microbiota
-
STENCIL-NET: Data-driven solution-adaptive discretization of partial differential equations
-
A fast spectral method for electrostatics in doubly-periodic slit channels
-
Efficient high-order accurate Fresnel diffraction via areal quadrature and the nonuniform FFT
-
Continuous-variable neural-network quantum states and the quantum rotor model
-
Overcoming barriers to scalability in variational quantum Monte Carlo
-
Fermionic Wave Functions from Neural-Network Constrained Hidden States
-
An integral equation method for the simulation of doubly-periodic suspensions of rigid bodies in a shearing viscous flow
-
Learning the Evolution of the Universe in N-body Simulations
-
Fast and Accurate Non-Linear Predictions of Universes with Deep Learning
-
Meta Variational Monte Carlo
-
Bayesian Workflow
-
Generalized co-sparse factor regression
-
Constraining the Halo Mass of Damped Lyα Absorption Systems (DLAs) at z=2-3.5 using the Quasar-CMB Lensing Cross-correlation
-
The CAMELS project: Cosmology and Astrophysics with MachinE Learning Simulations
-
Integrated VAC: A robust strategy for identifying eigenfunctions of dynamical operators
-
Multitaper estimation on arbitrary domains
-
On the discretization of Laplace’s equation with Neumann boundary conditions on polygonal domains
-
Geometry of the Phase Retrieval Problem
-
Bayesian analysis of tests with unknown specificity and sensitivity
-
The Quijote Simulations
-
High-density Neural Recordings from Feline Sacral Dorsal Root Ganglia with Thin-film Array
-
Accurate quadrature of nearly singular line integrals in two and three dimensions by singularity swapping
-
Low-Photon Holographie Phase Retrieval
-
Lorentz Group Equivariant Neural Network for Particle Physics
-
Solution of Stokes flow in complex nonsmooth 2D geometries via a linear-scaling high-order adaptive integral equation scheme
-
On the solution of Laplace’s equation in the vicinity of triple junctions
-
SpikeForest, reproducible web-facing ground-truth validation of automated neural spike sorters
-
Low-Rank Toeplitz Matrix Estimation Via Random Ultra-Sparse Rulers