Computational Mathematics: Publications
Read the latest papers published by our researchers.
Results
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Counterfactual Learning of Stochastic Policies with Continuous Actions
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Identifying new classes of financial price jumps with wavelets
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Scale dependencies and self-similar models with wavelet scattering spectra
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The No-Underrun Sampler: A Locally-Adaptive, Gradient-Free MCMC Method
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A fully adaptive, high-order, fast Poisson solver for complex two-dimensional geometries
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Understanding Optimization in Deep Learning with Central Flows
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CryoLike: A python package for cryo-electron microscopy image-to-structure likelihood calculations
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Randomized Nyström Approximation of Non-negative Self-Adjoint Operators
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How does Mamba Perform Associative Recall? A Mechanistic Study
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An Accurate and Efficient Scheme for Function Extension on Smooth Domains
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Classical variational phase-field models cannot predict fracture nucleation
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Equispaced Fourier representations for efficient Gaussian process regression from a billion data points
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A mixing time bound for Gibbs sampling from log-smooth log-concave distributions
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Neural network learns low-dimensional polynomials with SGD near the information-theoretic limit
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Liquid Filled Elastomers: From Linearization to Elastic Enhancement
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xVal: A Continuous Numerical Tokenization for Scientific Language Models
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Trapped acoustic waves and raindrops: high-order accurate integral equation method for localized excitation of a periodic staircase
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A Dual-space Multilevel Kernel-splitting Framework for Discrete and Continuous Convolution
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Provable Posterior Sampling with Denoising Oracles via Tilted Transport
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Multiple Physics Pretraining for Physical Surrogate Models
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Editorial overview: Cryo-electron microscopy
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Compressing the memory variables in constant-Q viscoelastic wave propagation via an improved sum-of-exponentials approximation
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An adaptive spectral method for oscillatory second-order linear ODEs with frequency-independent cost
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Recursive reduction quadrature for the evaluation of Laplace layer potentials in three dimensions
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A numerical method for scattering problems with unbounded interfaces
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On the construction of scattering matrices for irregular or elongated enclosures using Green's representation formula
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Learning Gaussian Multi-Index Models with Gradient Flow: Time Complexity and Directional Convergence
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Dynamic allostery drives autocrine and paracrine TGF-β signaling
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Simulation-based inference of single-molecule experiments
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AutoBZ.jl: Automatic, adaptive Brillouin zone integration using Wannier interpolation
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Variational Inference in Location-Scale Families: Exact Recovery of the Mean and Correlation Matrix
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Active learning of Boltzmann samplers and potential energies with quantum mechanical accuracy
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Integral formulation of Klein-Gordon singular waveguides
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New Statistical Metric for Robust Target Detection in Cryo-EM Using 2DTM
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nifty-ls: Fast and Accurate Lomb–Scargle Periodograms Using a Non-uniform FFT
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Coordinate complexification for the Helmholtz equation with Dirichlet boundary conditions in a perturbed half-space
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A comprehensive exploration of quasisymmetric stellarators and their coil sets
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Decomposing imaginary time Feynman diagrams using separable basis functions: Anderson impurity model strong coupling expansion
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Cosmological constraints from non-Gaussian and nonlinear galaxy clustering using the SimBIG inference framework
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Incorporating Local Step-Size Adaptivity into the No-U-Turn Sampler using Gibbs Self Tuning
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Learning Multi-Index Models with Neural Networks via Mean-Field Langevin Dynamics
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CryoBench: Diverse and challenging datasets for the heterogeneity problem in cryo-EM
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cppdlr: Imaginary time calculations using the discrete Lehmann representation
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Amortized template-matching of molecular conformations from cryo-electron microscopy images using simulation-based inference
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Nested R̂ : Assessing the Convergence of Markov Chain Monte Carlo When Running Many Short Chains
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SILVER: Single-loop variance reduction and application to federated learning
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Listening to the noise: Blind Denoising with Gibbs Diffusion
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Learning Associative Memories with Gradient Descent