Explainable Learning with Gaussian Processes
Fuente:
arXiv
Saved in:
| Main Authors: | Butler, Kurt, Feng, Guanchao, Djuric, Petar M. |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Trustworthy Prediction with Gaussian Process Knowledge Scores
by: Butler, Kurt, et al.
Published: (2025)
by: Butler, Kurt, et al.
Published: (2025)
Higher-Order Feature Attribution: Bridging Statistics, Explainable AI, and Topological Signal Processing
by: Butler, Kurt, et al.
Published: (2025)
by: Butler, Kurt, et al.
Published: (2025)
On Counterfactual Interventions in Vector Autoregressive Models
by: Butler, Kurt, et al.
Published: (2024)
by: Butler, Kurt, et al.
Published: (2024)
A Gaussian Process-based Streaming Algorithm for Prediction of Time Series With Regimes and Outliers
by: Waxman, Daniel, et al.
Published: (2024)
by: Waxman, Daniel, et al.
Published: (2024)
Tangent Space Causal Inference: Leveraging Vector Fields for Causal Discovery in Dynamical Systems
by: Butler, Kurt, et al.
Published: (2024)
by: Butler, Kurt, et al.
Published: (2024)
Sequential Inference for Gaussian Processes: A Signal Processing Perspective
by: Waxman, Daniel, et al.
Published: (2026)
by: Waxman, Daniel, et al.
Published: (2026)
Decentralized Online Ensembles of Gaussian Processes for Multi-Agent Systems
by: Llorente, Fernando, et al.
Published: (2025)
by: Llorente, Fernando, et al.
Published: (2025)
Dynamic Online Ensembles of Basis Expansions
by: Waxman, Daniel, et al.
Published: (2024)
by: Waxman, Daniel, et al.
Published: (2024)
Designing an Optimal Sensor Network via Minimizing Information Loss
by: Waxman, Daniel, et al.
Published: (2025)
by: Waxman, Daniel, et al.
Published: (2025)
Fast Gaussian Processes under Monotonicity Constraints
by: Zhang, Chao, et al.
Published: (2025)
by: Zhang, Chao, et al.
Published: (2025)
Time-adaptive functional Gaussian Process regression
by: Ruiz-Medina, MD, et al.
Published: (2026)
by: Ruiz-Medina, MD, et al.
Published: (2026)
Hyperuniformity and non-hyperuniformity of zeros of Gaussian Weyl-Heisenberg Functions
by: Feldheim, Naomi, et al.
Published: (2024)
by: Feldheim, Naomi, et al.
Published: (2024)
A New Reliable & Parsimonious Learning Strategy Comprising Two Layers of Gaussian Processes, to Address Inhomogeneous Empirical Correlation Structures
by: Roy, Gargi, et al.
Published: (2024)
by: Roy, Gargi, et al.
Published: (2024)
PyDPF: A Python Package for Differentiable Particle Filtering
by: Brady, John-Joseph, et al.
Published: (2025)
by: Brady, John-Joseph, et al.
Published: (2025)
A covariance representation and an elementary proof of the Gaussian concentration inequality
by: Houdré, Christian
Published: (2024)
by: Houdré, Christian
Published: (2024)
gp2Scale: A Class of Compactly-Supported Non-Stationary Kernels and Distributed Computing for Exact Gaussian Processes on 10 Million Data Points
by: Noack, Marcus M., et al.
Published: (2025)
by: Noack, Marcus M., et al.
Published: (2025)
Information Theory and Statistical Learning
by: Gamal, Abbas El
Published: (2026)
by: Gamal, Abbas El
Published: (2026)
Scalable Gaussian process inference via neural feature maps
by: Stephenson, Anthony
Published: (2026)
by: Stephenson, Anthony
Published: (2026)
ReFLEX: Length-Generalizable CSI Denoising for MIMO-OFDM via Relative-Frequency Bias
by: Zhang, Zhibin, et al.
Published: (2026)
by: Zhang, Zhibin, et al.
Published: (2026)
Rethinking Chronological Causal Discovery with Signal Processing
by: Butler, Kurt, et al.
Published: (2026)
by: Butler, Kurt, et al.
Published: (2026)
PIKAN: Physics-Inspired Kolmogorov-Arnold Networks for Explainable UAV Channel Modelling
by: Tekbıyık, Kürşat, et al.
Published: (2025)
by: Tekbıyık, Kürşat, et al.
Published: (2025)
Towards Explainable Machine Learning: The Effectiveness of Reservoir Computing in Wireless Receive Processing
by: Jere, Shashank, et al.
Published: (2023)
by: Jere, Shashank, et al.
Published: (2023)
When Bayesian Tensor Completion Meets Multioutput Gaussian Processes: Functional Universality and Rank Learning
by: Li, Siyuan, et al.
Published: (2025)
by: Li, Siyuan, et al.
Published: (2025)
Absolute continuity of non-Gaussian and Gaussian multiplicative chaos measures
by: Kim, Yujin H., et al.
Published: (2024)
by: Kim, Yujin H., et al.
Published: (2024)
Supervised and Penalized Baseline Correction
by: Andries, Erik, et al.
Published: (2023)
by: Andries, Erik, et al.
Published: (2023)
Estimates for exponential functionals of continuous Gaussian processes with emphasis on fractional Brownian motion
by: López-Mimbela, José Alfredo, et al.
Published: (2023)
by: López-Mimbela, José Alfredo, et al.
Published: (2023)
Ensemble Kalman Filtering Meets Gaussian Process SSM for Non-Mean-Field and Online Inference
by: Lin, Zhidi, et al.
Published: (2023)
by: Lin, Zhidi, et al.
Published: (2023)
Large Deviations for High Minima of Gaussian Processes with Nonnegatively Correlated Increments
by: Selk, Zachary
Published: (2021)
by: Selk, Zachary
Published: (2021)
Gaussian Process Priors for Boundary Value Problems of Linear Partial Differential Equations
by: Huang, Jianlei, et al.
Published: (2024)
by: Huang, Jianlei, et al.
Published: (2024)
Sparsity-Aware Distributed Learning for Gaussian Processes with Linear Multiple Kernel
by: Suwandi, Richard Cornelius, et al.
Published: (2023)
by: Suwandi, Richard Cornelius, et al.
Published: (2023)
Asymptotic Analysis of Synchronous Signal Processing
by: Vilà-Insa, Marc, et al.
Published: (2024)
by: Vilà-Insa, Marc, et al.
Published: (2024)
Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems
by: Lin, Zhidi, et al.
Published: (2025)
by: Lin, Zhidi, et al.
Published: (2025)
On small deviations of Gaussian multiplicative chaos with a strictly logarithmic covariance on Euclidean ball
by: Talarczyk, Anna, et al.
Published: (2024)
by: Talarczyk, Anna, et al.
Published: (2024)
Non-separable Covariance Kernels for Spatiotemporal Gaussian Processes based on a Hybrid Spectral Method and the Harmonic Oscillator
by: Hristopulos, Dionissios T.
Published: (2023)
by: Hristopulos, Dionissios T.
Published: (2023)
Exploitation of Hidden Context in Dynamic Movement Forecasting: A Neural Network Journey from Recurrent to Graph Neural Networks and General Purpose Transformers
by: Schelenz, Lukas, et al.
Published: (2026)
by: Schelenz, Lukas, et al.
Published: (2026)
Integrative Analysis and Imputation of Multiple Data Streams via Deep Gaussian Processes
by: Septiandri, Ali Akbar, et al.
Published: (2025)
by: Septiandri, Ali Akbar, et al.
Published: (2025)
Stochastic Partial Differential Equations Associated with Pseudo-Differential Operators and Hilbert Space-Valued Gaussian Processes
by: Ji, Un Cig, et al.
Published: (2025)
by: Ji, Un Cig, et al.
Published: (2025)
A remark on elephant random walks via the classical law of the iterated logarithm for self-similar Gaussian processes
by: Shibata, Shuhei, et al.
Published: (2025)
by: Shibata, Shuhei, et al.
Published: (2025)
Consensus-based Recursive Multi-Output Gaussian Process
by: Rao, Yogesh Prasanna Kumar, et al.
Published: (2026)
by: Rao, Yogesh Prasanna Kumar, et al.
Published: (2026)
A martingale-type characterisation of the Gaussian free field and fractional Gaussian free fields
by: Aru, Juhan, et al.
Published: (2024)
by: Aru, Juhan, et al.
Published: (2024)
Similar Items
-
Trustworthy Prediction with Gaussian Process Knowledge Scores
by: Butler, Kurt, et al.
Published: (2025) -
Higher-Order Feature Attribution: Bridging Statistics, Explainable AI, and Topological Signal Processing
by: Butler, Kurt, et al.
Published: (2025) -
On Counterfactual Interventions in Vector Autoregressive Models
by: Butler, Kurt, et al.
Published: (2024) -
A Gaussian Process-based Streaming Algorithm for Prediction of Time Series With Regimes and Outliers
by: Waxman, Daniel, et al.
Published: (2024) -
Tangent Space Causal Inference: Leveraging Vector Fields for Causal Discovery in Dynamical Systems
by: Butler, Kurt, et al.
Published: (2024)