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There are 27 Lines on a Smooth Cubic Surface
A Geometry-Aware Data-Driven Framework for Predictive Modeling and PDE Operators
Explainable Radio-Pathomic Model for Classifying Molecular Subtypes of Adult Gliomas
Comparing Manifold-Constrained Gaussian Processes and Physics-Inspired Neural Networks...
Compression of Tensor Train Cores via Tucker Decomposition, and Applications to the De...
On the Choice of Subspace for the Quasi-minimal Residual Method for Linear Inverse Pro...
Pixels, Priors, and Precision: Bayesian Approaches to Image Reconstruction
Inexact Generalized Golub-Kahan Methods for Large-Scale Inverse Problems
Inner Product Free Krylov Methods for Inverse Problems
Robust Uncertainty Quantification for Foundation Models: Bayesian and Frequentist Appr...
Optimal Transportation: A Comprehensive Review and Novel Approaches
Topics in Abelian Varieties
Some Cases of Erdős-Lovász Tihany Conjecture
The Reduced Unitary Whitehead Groups over Function Fields of p-adic Curves
Improving Sampling and Function Approximation in Machine Learning Methods for Solving ...
Modified Functional Principal Component Regression
Inverse problem application in the field of biomedical image reconstruction
Reinforcement Learning with Manifold Optimization
Kernel and Lengthscale Selection on the Performance of the Sparse Cholesky Factorizati...
Randomized Sketching for Data Fitting
Parameter Tuning for SIR-Related Models With Variational and Bayesian Methods
Fast Mixed Precision Algorithms for Toeplitz Least Squares Problems
Mathematical modeling and simulation of coronary stents
Eigenvalues of the Laplace Operator on Quantum Graphs
On the Design of Reflecting Systems with Virtual Sources
Topics in arithmetic statistics
Move your Math A Pedagogical Study of the Interdisciplinary Research between Math and ...
Generalized Quantile Random Forest with Smoothed Estimating Equations
Low Precision Preconditioning for Iterated Tikhonov Regularization
Constrained Directed Graph Clustering through Differential Equations
Can Students Step Up Their Mathematical Learning through Movement? A Course Evaluation...
Conditional Sampling and Density Estimation with Triangular Convex Flows
Reducing Operator Complexity in Algebraic Multigrid with Machine Learning Approaches
Semiparametric Efficient Designs with Staggered Rollouts
Efficient Training of Input Convex Neural Networks Using Variable Projection
An Analysis of Sampling Methods and Uncertainty Propagation for Shallow Water Modeling
On Pisier type problems
Low-Rank Exploiting Optimization Methods for Inverse Problems and Machine Learning
Modeling the COVID-19 Pandemic: A Model-Driven and a Data-Driven Analyses
In-silico analysis of the novel Caenorhabditis elegans tropomyosin with poor actin aff...
A local-global principle for adjoint groups over function fields of p-adic curves
Local-global principles for hermitian spaces over semi-global fields
Half Covering, Half Coloring
On the Brauer group of a local field
Linear Programming Approach for Q-Learning
Representation Theory of Finite Groups and its Applications
Deep Learning for EHR-Based Diagnosis Prediction: A General Recipe
Efficient Preconditioner for Covariance Matrices Using Geometric Information
Application of the Double Descent Color Intermittent Diffusion Method to a Variational...
Ranking Instagram Preferences: Get to know your friends better through experimental ma...
Regularization of ill-posed inverse problems under mixed precision arithmetics
Nonnegative Matrix Factorization for Music - Tuning the NMF Algorithm with Regularization
The Wave Equation and the Timpani: An Exploration into Various Models for the Vibratio...
A Comparison Study on Low Rank Matrix Completion Algorithms in Image and Painting Rest...
Image Deblurring using Radial Basis functions for Interpolating Weights of Spatially V...
Estimate Of The Black Hole Mass With A Single Quasinormal Mode
Improving Multigrid Methods with Deep Neural Networks
The Laplace and Heat Operators on Quantum Graphs
Large Scale Inverse Problems: Low-Rank Approximations and Optimization
Generating Graphs with Deep Learning and Graph Theory
Moonshine and Elliptic Curves
Local-to-Global Property of Transitive Subgroups of Sp
The Hasse norm theorem and a local-global principle for multinorms
Recursive Phase Estimation with Applications to Heartbeat Processing
Protocol Amendments and Probability of Success in Clinical Trials
Accelerated Alternating Minimization for X-ray Tomographic Reconstruction
Fair Clustering Problems
Diameter Bounds on the Spectral Gap of Quantum Graphs
Physics-informed Deep Neural Networks for High Dimensional Integration
Estimating and Predicting the Effect of Quarantine in the COVID-19 Pandemic: Using a M...
Isogenies of Elliptic Curves and Arithmetical Structures on Graphs
Local-global principles for norm one tori and multinorm tori over semi-global fields
Non-Archimedean and Tropical Techniques in Arithmetic Geometry
Connections between mock modular forms and vertex operator algebras
NLP Rankings: Publication-based Ranking System and Platform for NLP Research
A Connection between K3 Surfaces and the Conway Moonshine Module
Increasing paths in edge-ordered hypergraphs
Predicting Baseball Player Performance with OLS Regression and Out-of-Sample Forecasting
Fast Gaussian Process Solver
Nonuniqueness Properties of Zeckendorf Related Decompositions
Patient-Specific Modeling in Cardiac Electrophysiology: Parameter Estimation and Perso...
Monstrous moonshine, elliptic curves and vertex algebras
Differential Equation Interpretation of Deep Neural Networks
Local-to-Global Principle in Symmetric Groups
Smart Initialization for Smooth and Sparse Tensor Factorization
Edge Detection and Enriched Subspaces
Smoothing Tensor Factorization on Spatio-Temporal Data
On Direct-Sum Decompositions of the Picard Group of a Graph
Multiresolution Methods for Convolutional Neural Networks
A Trainable Conjugate Gradient Method for Image Reconstruction
Surrogate models for incompressible fluid dynamics in periodic regime
Region of Interest Image Reconstruction using IR Tools
Matrix Computations and Optimization for Spectral Computed Tomography
Reduced Models and Parallel Computing for Uncertainty Quantification in Cardiovascular...
Large-Scale Parameter Estimation in Geophysics and Machine Learning
Topics in the analytic theory of L-functions and harmonic Maass forms
New Results on Partitions, Prime Numbers, and Moonshine
Applications of Modular Forms to Elliptic Curves and Representation Theory
The Artin-Schreier Theorem in Galois Theory
Statistical Assessment of the Impact of Coronary Geometry on their Functionality