conftrace_

functional datum

30 papers

Explore in graph

Co-occurring keywords

functional data analysis (35) gaussian process (1200) bayesian inference (1907) dimension reduction (120) varying coefficient model (5) stochastic process (388) neural operator (74) kernel methods (1097) operator learning (48) diffusion model (3751)

Papers

Causal Effect of Functional Treatment JMLR 2025
Bayesian Data Sketching for Varying Coefficient Regression Models JMLR 2025
Probabilistic size-and-shape functional mixed models NIPS 2024
Functional Directed Acyclic Graphs JMLR 2024
Functional optimal transport: regularized map estimation and domain adaptation for functional data JMLR 2024
Pure Differential Privacy for Functional Summaries with a Laplace-like Process JMLR 2024
Functional Diffusion CVPR 2024
SAND: Smooth imputation of sparse and noisy functional data with Transformer networks NIPS 2024
Functional L-Optimality Subsampling for Functional Generalized Linear Models with Massive Data JMLR 2023
Energy-Based Models for Functional Data using Path Measure Tilting AISTATS 2023
Functional Neural Networks: Shift invariant models for functional data with applications to EEG classification ICML 2023
Score-based Generative Modeling through Stochastic Evolution Equations in Hilbert Spaces NIPS 2023
Variational Autoencoding Neural Operators ICML 2023
Minimax Risks and Optimal Procedures for Estimation under Functional Local Differential Privacy NIPS 2023
Cluster-Specific Predictions with Multi-Task Gaussian Processes JMLR 2023
Fuzzy C-means: Differences on Clustering Behavior between High Dimensional and Functional Data (Student Abstract) AAAI 2023
Distributed Bayesian Varying Coefficient Modeling Using a Gaussian Process Prior JMLR 2022
Learning Operators with Coupled Attention JMLR 2022
A Kernel Two-Sample Test for Functional Data JMLR 2022
Reproducing kernel Hilbert C*-module and kernel mean embeddings JMLR 2021
Deep Learning for Functional Data Analysis with Adaptive Basis Layers ICML 2021
Learning with Operator-valued Kernels in Reproducing Kernel Krein Spaces NIPS 2020
The Area of the Convex Hull of Sampled Curves: a Robust Functional Statistical Depth measure AISTATS 2020
MFPCA: Multiscale Functional Principal Component Analysis AAAI 2019
A Powerful Global Test Statistic for Functional Statistical Inference AAAI 2019