Computational Mathematics: Publications
Read the latest papers published by our researchers.
Results
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Quantification of gas concentrations in NO/NO2/C3H8/NH3 mixtures using machine learning
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Simple and statistically sound recommendations for analysing physical theories
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Multiple-Allele MHC Class II Epitope Engineering by a Molecular Dynamics-Based Evolution Protocol
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Vitruvion: A Generative Model of Parametric CAD Sketches
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Wavelet Moments for Cosmological Parameter Estimation
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A general sample complexity analysis of vanilla policy gradient
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SAN: Stochastic Average Newton Algorithm for Minimizing Finite Sums
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Debye source representations for type-I superconductors, I: The static type I case
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Multi-omic analysis along the gut-brain axis points to a functional architecture of autism
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Cutting Some Slack for SGD with Adaptive Polyak Stepsizes
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Spatial Transformer K-Means
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Towards practical holographic coherent diffraction imaging via maximum likelihood estimation
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Prolonged and Pervasive Perturbations in the Composition of the Southern Hemisphere Midlatitude Lower Stratosphere From the Australian New Year’s Fires
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FMM-LU: A fast direct solver for multiscale boundary integral equations in three dimensions
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Neural Circuits for Dynamics-Based Segmentation of Time Series
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The PETSc Community Is the Infrastructure
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Geometry of the Phase Retrieval Problem: Graveyard of Algorithms
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RidgeSketch: A Fast Sketching Based Solver for Large Scale Ridge Regression
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Pandemic Control, Game Theory, and Machine Learning
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Low-photon holographic phase retrieval with Poisson-Gaussian denoising
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Perturbational Complexity by Distribution Mismatch: A Systematic Analysis of Reinforcement Learning in Reproducing Kernel Hilbert Space
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Economic growth and happiness in China: A Bayesian multilevel age-period-cohort analysis based on the CGSS data 2005–2015
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Solving Fredholm second-kind integral equations with singular right-hand sides on non-smooth boundaries
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Robust regression with compositional covariates
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How exponentially ill-conditioned are contiguous submatrices of the Fourier matrix?
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DeepHAM: A Global Solution Method for Heterogeneous Agent Models with Aggregate Shocks
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Multifrequency inverse obstacle scattering with unknown impedance boundary conditions using recursive linearization
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Algorithms for solving high dimensional PDEs: from nonlinear Monte Carlo to machine learning
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Neural optimal feedback control with local learning rules
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Gauge equivariant neural networks for quantum lattice gauge theories
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A Normative and Biologically Plausible Algorithm for Independent Component Analysis
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Shadow tomography based on informationally complete positive operator-valued measure
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Encoding Priors with Group Sparsity for Model Learning From Limited and Noisy Biological Data
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Discriminating Data: Correlation, Neighborhoods, and the New Politics of Recognition
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c-lasso - a Python package for constrained sparse and robust regression and classification
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Analysis of single-excitation states in quantum optics
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Cardiolipin prevents pore formation in phosphatidylglycerol bacterial membrane models
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Bayesian Hierarchical Stacking: Some Models Are (Somewhere) Useful
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Toward performance-portable PETSc for GPU-based exascale systems
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latentcor: An R Package for estimating latent correlations from mixed data types
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A Biologically Plausible Neural Network for Multichannel Canonical Correlation Analysis
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Phase Retrieval with Holography and Untrained Priors: Tackling the Challenges of Low-Photon Nanoscale Imaging
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Application of ensemble pharmacophore-based virtual screening to the discovery of novel antimitotic tubulin inhibitors
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COP-E-CAT: Cleaning and Organization Pipeline for EHR Computational and Analytic Tasks
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AI-assisted superresolution cosmological simulations – II. Halo substructures, velocities, and higher order statistics
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Low-Photon Holographic Phase Retrieval via a Deep Decoder Neural Network
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Tree-aggregated predictive modeling of microbiome data
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Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks