Futoma, Joseph

10 publications

ICML 2025 Beyond Sensor Data: Foundation Models of Behavioral Data from Wearables Improve Health Predictions Eray Erturk, Fahad Kamran, Salar Abbaspourazad, Sean Jewell, Harsh Sharma, Yujie Li, Sinead Williamson, Nicholas J Foti, Joseph Futoma

NeurIPSW 2024 Time-Varying Representations of Longitudinal Biosignals Using Self-Supervised Learning Sam Jean Perochon, Salar Abbaspourazad, Joseph Futoma, Andrew Miller, Guillermo Sapiro

MLHC 2021 Model-Based Metrics: Sample-Efficient Estimates of Predictive Model Subpopulation Performance Andrew C. Miller, Leon A. Gatys, Joseph Futoma, Emily Fox

ICML 2020 Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions Omer Gottesman, Joseph Futoma, Yao Liu, Sonali Parbhoo, Leo Celi, Emma Brunskill, Finale Doshi-Velez

NeurIPS 2020 Model-Based Reinforcement Learning for Semi-Markov Decision Processes with Neural ODEs Jianzhun Du, Joseph Futoma, Finale Doshi-Velez

AISTATS 2020 POPCORN: Partially Observed Prediction Constrained Reinforcement Learning Joseph Futoma, Michael Hughes, Finale Doshi-Velez

MLHC 2017 An Improved Multi-Output Gaussian Process RNN with Real-Time Validation for Early Sepsis Detection Joseph Futoma, Sanjay Hariharan, Katherine Heller, Mark Sendak, Nathan Brajer, Meredith Clement, Armando Bedoya, Cara O’Brien

ICML 2017 Learning to Detect Sepsis with a Multitask Gaussian Process RNN Classifier Joseph Futoma, Sanjay Hariharan, Katherine Heller

MLHC 2016 Predicting Disease Progression with a Model for Multivariate Longitudinal Clinical Data Joseph Futoma, Mark Sendak, Blake Cameron, Katherine Heller

UAI 2016 Scalable Joint Modeling of Longitudinal and Point Process Data for Disease Trajectory Prediction and Improving Management of Chronic Kidney Disease Joseph Futoma, Mark P. Sendak, Blake Cameron, Katherine A. Heller