Standing Wave Decomposition Gaussian Process. - Chi-Ken Lu; Scott Cheng-Hsin Yang; Patrick Shafto (CoRR, 2018)

Interpretable deep Gaussian processes. - Chi-Ken Lu; Scott Cheng-Hsin Yang; Xiaoran Hao; Patrick Shafto (CoRR, 2019)

Interpretable Deep Gaussian Processes with Moments. - Chi-Ken Lu; Scott Cheng-Hsin Yang; Xiaoran Hao; Patrick Shafto (AISTATS, 2020)

Multi-source Deep Gaussian Process Kernel Learning. - Chi-Ken Lu; Patrick Shafto (CoRR, 2020)

Conditional Deep Gaussian Processes: Empirical Bayes Hyperdata Learning. - Chi-Ken Lu; Patrick Shafto (Entropy, 2021)

Conditional Deep Gaussian Processes: Multi-Fidelity Kernel Learning. - Chi-Ken Lu; Patrick Shafto (Entropy, 2021)

On Connecting Deep Trigonometric Networks with Deep Gaussian Processes: Covariance, Expressivity, and Neural Tangent Kernel. - Chi-Ken Lu; Patrick Shafto (CoRR, 2022)

Bayesian inference with finitely wide neural networks. - Chi-Ken Lu (CoRR, 2023)

Regularizing Log-Linear Cost Models for Inpatient Stays by Merging ICD-10 Codes. - Chi-Ken Lu; David Alonge; Nicole Richardson; Bruno Richard 003 (CoRR, 2025)