Alexander Moreno

According to our database, Alexander Moreno authored at least 22 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

PyPulse: A Python Library for Biosignal Imputation.

Kevin Gao, Maxwell A. Xu, James M. Rehg, Alexander Moreno

CoRR, 2024

REBAR: Retrieval-Based Reconstruction for Time-series Contrastive Learning.

Maxwell A. Xu, Alexander Moreno, Hui Wei, Benjamin M. Marlin, James Matthew Rehg

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

Retrieval-Based Reconstruction For Time-series Contrastive Learning.

Maxwell A. Xu, Alexander Moreno, Hui Wei, Benjamin M. Marlin, James M. Rehg

CoRR, 2023

SKI to go Faster: Accelerating Toeplitz Neural Networks via Asymmetric Kernels.

Alexander Moreno, Jonathan Mei, Luke Walters

CoRR, 2023

KrADagrad: Kronecker approximation-domination gradient preconditioned stochastic optimization.

Jonathan Mei, Alexander Moreno, Luke Walters

Proceedings of the Uncertainty in Artificial Intelligence, 2023

2022

Semi-Parametric Continuous-Time Models for Adverse Health Behaviors.

Alexander Moreno

PhD thesis, 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, James M. Rehg

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Kernel Multimodal Continuous Attention.

Alexander Moreno, Zhenke Wu, Supriya Nagesh, Walter H. Dempsey, James M. Rehg

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Kernel Deformed Exponential Families for Sparse Continuous Attention.

Alexander Moreno, Supriya Nagesh, Zhenke Wu, Walter H. Dempsey, James M. Rehg

CoRR, 2021

Transformers for prompt-level EMA non-response prediction.

Supriya Nagesh, Alexander Moreno, Stephanie M. Carpenter, Jamie Yap, Soujanya Chatterjee, Steven Lloyd Lizotte, Neng Wan, Santosh Kumar, Cho Lam, David W. Wetter, Inbal Nahum-Shani, James M. Rehg

CoRR, 2021

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, Jena C. McDaniel, Nancy C. Brady, Agata Rozga, Fuxin Li, Le Song, James M. Rehg

CoRR, 2021

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

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 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

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

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

A Spatiotemporal Approach to Predicting Glaucoma Progression Using a CT-HMM.

Supriya Nagesh, Alexander Moreno, Hiroshi Ishikawa, Gadi Wollstein, Joel S. Schuman, James M. Rehg

Proceedings of the Machine Learning for Healthcare Conference, 2019

2017

dispel4py.

Rosa Filgueira, Amrey Krause, Malcolm P. Atkinson, Iraklis A. Klampanos, Alexander Moreno

Int. J. High Perform. Comput. Appl., 2017

iSurvive: An Interpretable, Event-time Prediction Model for mHealth.

Walter H. Dempsey, Alexander Moreno, Christy K. Scott, Michael L. Dennis, David H. Gustafson, Susan A. Murphy, James M. Rehg

Proceedings of the 34th International Conference on Machine Learning, 2017

Learning Continuous-Time Hidden Markov Models for Event Data.

Yu-Ying Liu, Alexander Moreno, Shuang Li, Fuxin Li, Le Song, James M. Rehg

Proceedings of the Mobile Health - Sensors, Analytic Methods, and Applications, 2017

2016

Improving financial computation speed with full and subproblem memoization.

Alexander Moreno, Tucker Balch

Concurr. Comput. Pract. Exp., 2016

2014

Speeding up large-scale financial recomputation with memoization.

Alexander Moreno, Tucker Balch

Proceedings of the 7th Workshop on High Performance Computational Finance, 2014

dispel4py: a Python framework for data-intensive scientific computing.

Rosa Filgueira, Iraklis A. Klampanos, Amrey Krause, Mário David, Alexander Moreno, Malcolm P. Atkinson

Proceedings of the 2014 International Workshop on Data Intensive Scalable Computing Systems, 2014