Computational Mathematics: Publications
Read the latest papers published by our researchers.
Results
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Direct stellarator coil design using global optimization: application to a comprehensive exploration of quasi-axisymmetric devices
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Discriminative calibration: Check Bayesian computation from simulations and flexible classifier
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Solving the Transmission Problem for Open Wave-Guides, II Outgoing Estimates
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Solving the Transmission Problem for Open Wave-Guides, I Fundamental Solutions and Integral Equations
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A class of dimensionality-free metrics for the convergence of empirical measures
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A Neural Network Warm-Start Approach for the Inverse Acoustic Obstacle Scattering Problem
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Variational Inference with Gaussian Score Matching
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FMM-accelerated solvers for the Laplace-Beltrami problem on complex surfaces in three dimensions
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A Gentle Introduction to Gradient-Based Optimization and Variational Inequalities for Machine Learning
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Reinforcement learning with function approximation: From linear to nonlinear
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An equivariant neural operator for developing nonlocal tensorial constitutive models
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Automatic, high-order, and adaptive algorithms for Brillouin zone integration
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DeePMD-kit v2: A software package for deep potential models
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Normative framework for deriving neural networks with multi-compartmental neurons and non-Hebbian plasticity
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A fast time domain solver for the equilibrium Dyson equation
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Conformational heterogeneity and probability distributions from single-particle cryo-electron microscopy
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On Single Index Models beyond Gaussian Data
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A Model-Based Method for Minimizing CVaR and Beyond
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SGD with Large Step Sizes Learns Sparse Features
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BridgeStan: Efficient in-memory access to the methods of a Stan model
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Unlocking the Potential of Similarity Matching: Scalability, Supervision and Pre-training
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Kernelized Diffusion Maps
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Multi-level analysis of the gut–brain axis shows autism spectrum disorder-associated molecular and microbial profiles
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General adjoint-differentiated Laplace approximation
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Improving Gradient Computation for Differentiable Physics Simulation with Contacts
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riccati: an adaptive, spectral solver for oscillatory ODEs
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Low-rank Green's function representations applied to dynamical mean-field theory
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Ensemble Reweighting Using Cryo-EM Particle Images
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Algebraically rigorous quaternion framework for the neural network pose estimation problem
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Conditionally Strongly Log-Concave Generative Models
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A Stochastic Proximal Polyak Step Size
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Learning multi-scale local conditional probability models of images
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Complex-to-Real Sketches for Tensor Products with Applications to the Polynomial Kernel
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A Cheat Sheet for Bayesian Prediction
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Simulation-based inference of single-molecule force spectroscopy
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Simulation-based inference of single-molecule force spectroscopy
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A fast, accurate and easy to implement Kapur -- Rokhlin quadrature scheme for singular integrals in axisymmetric geometries
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Folding and modulation of the helical conformation of Glycophorin A by point mutations
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A Bregman-Kaczmarz method for nonlinear systems of equations
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Quantum electrodynamics of chiral and antichiral waveguide arrays
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Linear Convergence of Natural Policy Gradient Methods with Log-Linear Policies
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Connection between MHC class II binding and aggregation propensity: The antigenic peptide 10 of Paracoccidioides brasiliensis as a benchmark study
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Connection between MHC class II binding and aggregation propensity: The antigenic peptide 10 of Paracoccidioides brasiliensis as a benchmark study
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Omicron mutations increase interdomain interactions and reduce epitope exposure in the SARS-CoV-2 spike
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The Shrinkage-Delinkage Trade-off: An Analysis of Factorized Gaussian Approximations for Variational Inference
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Omicron mutations increase interdomain interactions and reduce epitope exposure in the SARS-CoV-2 spike
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PETSc/TAO Users Manual Revision 3.18
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SP2 : A Second Order Stochastic Polyak Method