Personalized Gaussian Processes for Forecasting of Alzheimer's Disease Assessment Scale-Cognition Sub-Scale (ADAS-Cog13). - Yuria Utsumi; Ognjen (Oggi) Rudovic; Kelly Peterson; Ricardo Guerrero; Rosalind W. Picard (EMBC, 2018)

CultureNet: A Deep Learning Approach for Engagement Intensity Estimation from Face Images of Children with Autism. - Ognjen Rudovic; Yuria Utsumi; Jaeryoung Lee; Javier Hernandez; Eduardo Castelló Ferrer; Björn W. Schuller; Rosalind W. Picard (IROS, 2018)

Meta-Weighted Gaussian Process Experts for Personalized Forecasting of AD Cognitive Changes. - Ognjen (Oggi) Rudovic; Yuria Utsumi; Ricardo Guerrero; Kelly Peterson; Daniel Rueckert; Rosalind W. Picard (MLHC, 2019)

G-Net: a Recurrent Network Approach to G-Computation for Counterfactual Prediction Under a Dynamic Treatment Regime. - Rui Li; Stephanie M. Hu; Mingyu Lu; Yuria Utsumi; Prithwish Chakraborty; Daby M. Sow; Piyush Madan; Jun Li 027; Mohamed F. Ghalwash; Zach Shahn; Li-Wei H. Lehman (ML4H@NeurIPS, 2021)

Knowledge Distillation via Constrained Variational Inference. - Ardavan Saeedi; Yuria Utsumi; Li Sun 010; Kayhan Batmanghelich; Li-Wei H. Lehman (AAAI, 2022)

Closing the Gap in High-Risk Pregnancy Care Using Machine Learning and Human-AI Collaboration. - Hussein Mozannar; Yuria Utsumi; Irene Y. Chen; Stephanie S. Gervasi; Michele Ewing; Aaron Smith-McLallen; David A. Sontag (CoRR, 2023)