Dynamic Probabilistic Models for Latent Feature Propagation in Social Networks. - Creighton Heaukulani; Zoubin Ghahramani (ICML (1), 2013)

Beta Diffusion Trees. - Creighton Heaukulani; David A. Knowles; Zoubin Ghahramani (ICML, 2014)

Bayesian inference on random simple graphs with power law degree distributions. - Juho Lee 001; Creighton Heaukulani; Zoubin Ghahramani; Lancelot F. James; Seungjin Choi (ICML, 2017)

Scalable Bayesian dynamic covariance modeling with variational Wishart and inverse Wishart processes. - Creighton Heaukulani; Mark van der Wilk (NeurIPS, 2019)

Variational inference for neural network matrix factorization and its application to stochastic blockmodeling. - Onno Kampman; Creighton Heaukulani (CoRR, 2019)

HOPES - An Integrative Digital Phenotyping Platform for Data Collection, Monitoring and Machine Learning. - Xuancong Wang; Nikola Vouk; Creighton Heaukulani; Thisum Buddhika; Wijaya Martanto; Jimmy Lee; Robert J. T. Morris (CoRR, 2020)

Deploying AI Methods for Mental Health in Singapore: From Mental Wellness to Serious Mental Health Conditions. - Creighton Heaukulani; Ye Sheng Phang; Janice Huiqin Weng; Jimmy Lee; Robert J. T. Morris (ML4CMH@AAAI, 2024)

Modelling financial volume curves with hierarchical Poisson processes. - Creighton Heaukulani; Abhinav Pandey; Lancelot F. James (CoRR, 2024)

A Multi-Agent Dual Dialogue System to Support Mental Health Care Providers. - Onno Pepijn Kampman; Ye Sheng Phang; Stanley Han; Michael Xing; Xinyi Hong; Hazirah Hoosainsah; Caleb Tan; Genta Indra Winata; Skyler Wang; Creighton Heaukulani; Janice Huiqin Weng; Robert J. T. Morris (CoRR, 2024)

Examining a brief web and longitudinal app-based intervention [Wysa] for mental health support in Singapore during the COVID-19 pandemic: mixed-methods retrospective observational study. - Chaitali Sinha; Dyuthi Dinesh; Creighton Heaukulani; Ye Sheng Phang (Frontiers Digit. Health, 2024)