dispel4py: a Python framework for data-intensive scientific computing. - Rosa Filgueira; Iraklis A. Klampanos; Amrey Krause; Mário David; Alexander Moreno; Malcolm P. Atkinson 001 (DISCS@SC, 2014)

Speeding up large-scale financial recomputation with memoization. - Alexander Moreno; Tucker Balch (WHPCF@SC, 2014)

Improving financial computation speed with full and subproblem memoization. - Alexander Moreno; Tucker Balch (Concurr. Comput. Pract. Exp., 2016)

Learning Continuous-Time Hidden Markov Models for Event Data. - Yu-Ying Liu; Alexander Moreno; Shuang Li 002; Fuxin Li; Le Song; James M. Rehg (Mobile Health - Sensors, Analytic Methods, and Applications, 2017)

iSurvive: An Interpretable, Event-time Prediction Model for mHealth. - Walter H. Dempsey; Alexander Moreno; Christy K. Scott; Michael L. Dennis; David H. Gustafson 001; Susan A. Murphy; James M. Rehg (ICML, 2017)

dispel4py. - Rosa Filgueira; Amrey Krause; Malcolm P. Atkinson 001; Iraklis A. Klampanos; Alexander Moreno (Int. J. High Perform. Comput. Appl., 2017)

A Spatiotemporal Approach to Predicting Glaucoma Progression Using a CT-HMM. - Supriya Nagesh; Alexander Moreno; Hiroshi Ishikawa 005; Gadi Wollstein; Joel S. Schuman; James M. Rehg (MLHC, 2019)

A Robust Functional EM Algorithm for Incomplete Panel Count Data. - Alexander Moreno; Zhenke Wu; Jamie Yap; Cho Lam; David W. Wetter; Inbal Nahum-Shani; Walter H. Dempsey; James M. Rehg (NeurIPS, 2020)

A Functional EM Algorithm for Panel Count Data with Missing Counts. - Alexander Moreno; Zhenke Wu; Jamie Yap; David W. Wetter; Cho Lam; Inbal Nahum-Shani; Walter H. Dempsey; James M. Rehg (CoRR, 2020)

SmokingOpp: Detecting the Smoking 'Opportunity' Context Using Mobile Sensors. - Soujanya Chatterjee; Alexander Moreno; Steven Lloyd Lizotte; Sayma Akther; Emre Ertin; Christopher P. Fagundes; Cho Lam; James M. Rehg; Neng Wan; David W. Wetter; Santosh Kumar 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020)

Efficient Learning and Decoding of the Continuous-Time Hidden Markov Model for Disease Progression Modeling. - Yu-Ying Liu; Alexander Moreno; Maxwell A. Xu; Shuang Li 002; Jena C. McDaniel; Nancy C. Brady; Agata Rozga; Fuxin Li; Le Song; James M. Rehg (CoRR, 2021)

Transformers for prompt-level EMA non-response prediction. - Supriya Nagesh; Alexander Moreno; Stephanie Marita Carpenter; Jamie Yap; Soujanya Chatterjee; Steven Lloyd Lizotte; Neng Wan; Santosh Kumar 001; Cho Lam; David W. Wetter; Inbal Nahum-Shani; James M. Rehg (CoRR, 2021)

Kernel Deformed Exponential Families for Sparse Continuous Attention. - Alexander Moreno; Supriya Nagesh; Zhenke Wu; Walter H. Dempsey; James M. Rehg (CoRR, 2021)

Kernel Multimodal Continuous Attention. - Alexander Moreno; Zhenke Wu; Supriya Nagesh; Walter H. Dempsey; James M. Rehg (NeurIPS, 2022)

PulseImpute: A Novel Benchmark Task for Pulsative Physiological Signal Imputation. - Maxwell A. Xu; Alexander Moreno; Supriya Nagesh; Varol Burak Aydemir; David W. Wetter; Santosh Kumar 001; James M. Rehg (NeurIPS, 2022)

Semi-Parametric Continuous-Time Models for Adverse Health Behaviors. - Alexander Moreno (2022)

KrADagrad: Kronecker approximation-domination gradient preconditioned stochastic optimization. - Jonathan Mei; Alexander Moreno; Luke Walters (UAI, 2023)

SKI to go Faster: Accelerating Toeplitz Neural Networks via Asymmetric Kernels. - Alexander Moreno; Jonathan Mei; Luke Walters (CoRR, 2023)

Retrieval-Based Reconstruction For Time-series Contrastive Learning. - Maxwell A. Xu; Alexander Moreno; Hui Wei; Benjamin M. Marlin; James M. Rehg (CoRR, 2023)

Debiased Machine Learning and Network Cohesion for Doubly-Robust Differential Reward Models in Contextual Bandits. - Easton K. Huch; Jieru Shi; Madeline R. Abbott; Jessica R. Golbus; Alexander Moreno; Walter H. Dempsey (CoRR, 2023)

REBAR: Retrieval-Based Reconstruction for Time-series Contrastive Learning. - Maxwell A. Xu; Alexander Moreno; Hui Wei; Benjamin M. Marlin; James Matthew Rehg (ICLR, 2024)

RoME: A Robust Mixed-Effects Bandit Algorithm for Optimizing Mobile Health Interventions. - Easton K. Huch; Jieru Shi; Madeline R. Abbott; Jessica R. Golbus; Alexander Moreno; Walter Dempsey (NeurIPS, 2024)

PyPulse: A Python Library for Biosignal Imputation. - Kevin Gao; Maxwell A. Xu; James M. Rehg; Alexander Moreno (CoRR, 2024)

Reduction in End-of-life Care Anxiety in Family Caregivers of Individuals in Palliative Care: Results of a Pilot Exploratory Study Using a Canadian Virtual Reality Technology. - Alexander Moreno; Célia Rigoulat; Pénélope Pelletier; Eugénie Côté; Patrick O'Connor; Sandrine Galarneau; Megan DuBois; Céline Turk; Adriana Dieumen (XR (3), 2025)

The Price of Linear Time: Error Analysis of Structured Kernel Interpolation. - Alexander Moreno; Justin Xiao; Jonathan Mei (CoRR, 2025)