Scalable bayesian bi-level variable selection in generalized linear models

2024-1-1

A practical existence theorem for reduced order models based on convolutional autoencoders

2024-1-1

Algebraic machine learning with an application to chemistry

2024-1-1

An introduction to quantum computing for statisticians and data scientists

2024-1-1

On Wasserstein distances for affine transformations of random vectors

2024-1-1

A topological approach for capturing high-order interactions in graph data with applications to anomaly detection in time-varying cryptocurrency transaction graphs

2024-1-1

Algebraic topology and distributed computing

2024-1-1

Bayesian random persistence diagram generation: An application to material microstructure analysis

2024-1-1

Affine invariant ensemble transform methods to improve predictive uncertainty in neural networks

2024-1-1

Diagnostic of the Lévy area for geophysical flow models in view of defining high order stochastic discrete-time schemes

2024-1-1

On the limits of topological data analysis for statistical inference

2024-1-1

Persistent homology with k-nearest-neighbor filtrations reveals topological convergence of PageRank

2024-1-1

Sparse joint shift in multinomial classification

2024-1-1

GNEP based dynamic segmentation and motion estimation for neuromorphic imaging

2024-1-1

Graph Matching via convex relaxation to the simplex

2024-1-1

Global convergence of optimized adaptive importance samplers

2024-1-1

A system identification approach for non-intrusive reduced order modeling of radiation-induced photocurrents

2024-1-1

Stacked networks improve physics-informed training: Applications to neural networks and deep operator networks

2024-1-1

An adaptive mixture view of particle filters

2024-1-1

Combinatorial persistent homology transform

2024-1-1

Eikonal depth: An optimal control approach to statistical depths

2024-1-1

Persistent Mayer homology and persistent Mayer Laplacian

2024-1-1

Sequential Monte Carlo bandits

2024-1-1

Dynamic topological data analysis of functional human brain networks

2024-1-1

An operator learning perspective on parameter-to-observable maps

2024-1-1

Deep learning enhanced cost-aware multi-fidelity uncertainty quantification of a computational model for radiotherapy

2024-1-1

Persistent sheaf Laplacians

2024-1-1

Convergence analysis of the rank-restricted soft SVD algorithm

2024-1-1

Vector summaries of persistence diagrams for permutation-based hypothesis testing

2024-1-1

Hyper-differential sensitivity analysis with respect to model discrepancy: Posterior optimal solution sampling

2024-1-1

On variational inference and maximum likelihood estimation with the $ \lambda $-exponential family

2024-1-1

ChatGPT for computational topology

2024-1-1

On marginal feature attributions of tree-based models

2024-1-1

Preface

2024-1-1

Unsupervised physics-informed disentanglement of multimodal data

2024-1-1

Tverberg's theorem and multi-class support vector machines

2024-1-1

Persistent Dirac of paths on digraphs and hypergraphs

2024-1-1

Robust crossings detection in noisy signals using topological signal processing

2024-1-1

Computing hypergraph homology

2024-1-1

An over complete deep learning method for inverse problems

2024-1-1

CAFLOW: Conditional autoregressive flows

2024-1-1

Sparse additive function decompositions facing basis transforms

2024-1-1

Dynamic topological data analysis of functional human brain networks

2023-12-20

Diagnostic of the Lévy area for geophysical flow models in view of defining high order stochastic discrete-time schemes

2023-10-13

Noise calibration for SPDEs: A case study for the rotating shallow water model

2023-1-1

Statistical inference for persistent homology applied to simulated fMRI time series data

2023-1-1

Weight set decomposition for weighted rank and rating aggregation: An interpretable and visual decision support tool

2023-1-1

Identifiability of interaction kernels in mean-field equations of interacting particles

2023-1-1

Preface

2023-1-1

Stein variational gradient descent: Many-particle and long-time asymptotics

2023-1-1