functional data

Functional Mean Flow in Hilbert Space CVPR 2026 Bayesian Data Sketching for Varying Coefficient Regression Models JMLR 2025 Causal Effect of Functional Treatment JMLR 2025 Isometric Regularization for Manifolds of Functional Data ICLR 2025 Signature Isolation Forest AISTATS 2025 A New Computationally Efficient Algorithm to solve Feature Selection for Functional Data Classification in High-dimensional Spaces ICML 2024 Functional Diffusion CVPR 2024 Functional Directed Acyclic Graphs JMLR 2024 Functional optimal transport: regularized map estimation and domain adaptation for functional data JMLR 2024 Probabilistic size-and-shape functional mixed models NeurIPS 2024 Pure Differential Privacy for Functional Summaries with a Laplace-like Process JMLR 2024 SAND: Smooth imputation of sparse and noisy functional data with Transformer networks NeurIPS 2024 Cluster-Specific Predictions with Multi-Task Gaussian Processes JMLR 2023 Energy-Based Models for Functional Data using Path Measure Tilting AISTATS 2023 Functional L-Optimality Subsampling for Functional Generalized Linear Models with Massive Data JMLR 2023 Functional Neural Networks: Shift invariant models for functional data with applications to EEG classification ICML 2023 Fuzzy C-means: Differences on Clustering Behavior between High Dimensional and Functional Data (Student Abstract) AAAI 2023 Minimax Risks and Optimal Procedures for Estimation under Functional Local Differential Privacy NeurIPS 2023 Score-based Generative Modeling through Stochastic Evolution Equations in Hilbert Spaces NeurIPS 2023 Variational Autoencoding Neural Operators ICML 2023 A Kernel Two-Sample Test for Functional Data JMLR 2022 Change-point Detection for Sparse and Dense Functional Data in General Dimensions NeurIPS 2022 Distributed Bayesian Varying Coefficient Modeling Using a Gaussian Process Prior JMLR 2022 Learning Operators with Coupled Attention JMLR 2022 Deep Learning for Functional Data Analysis with Adaptive Basis Layers ICML 2021