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ORCIDAlexander Moreno
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2020 – today
- 2024
[c9]Maxwell A. Xu, Alexander Moreno, Hui Wei, Benjamin M. Marlin, James Matthew Rehg:
REBAR: Retrieval-Based Reconstruction for Time-series Contrastive Learning. ICLR 2024- 2023
- [c8]Jonathan Mei, Alexander Moreno, Luke Walters:
KrADagrad: Kronecker approximation-domination gradient preconditioned stochastic optimization. UAI 2023: 1412-1422 - [i9]Alexander Moreno, Jonathan Mei, Luke Walters:
SKI to go Faster: Accelerating Toeplitz Neural Networks via Asymmetric Kernels. CoRR abs/2305.09028 (2023) - [i8]Jonathan Mei, Alexander Moreno, Luke Walters:
KrADagrad: Kronecker Approximation-Domination Gradient Preconditioned Stochastic Optimization. CoRR abs/2305.19416 (2023) - [i7]Maxwell A. Xu, Alexander Moreno, Hui Wei, Benjamin M. Marlin, James M. Rehg:
Retrieval-Based Reconstruction For Time-series Contrastive Learning. CoRR abs/2311.00519 (2023) - [i6]Easton K. Huch, Jieru Shi, Madeline R. Abbott, Jessica R. Golbus, Alexander Moreno, Walter H. Dempsey:
Debiased Machine Learning and Network Cohesion for Doubly-Robust Differential Reward Models in Contextual Bandits. CoRR abs/2312.06403 (2023) - 2022
- [b1]Alexander Moreno:
Semi-Parametric Continuous-Time Models for Adverse Health Behaviors. Georgia Institute of Technology, Atlanta, GA, USA, 2022 - [c7]Alexander Moreno, Zhenke Wu, Supriya Nagesh, Walter H. Dempsey, James M. Rehg:
Kernel Multimodal Continuous Attention. NeurIPS 2022 - [c6]Maxwell A. Xu, Alexander Moreno, Supriya Nagesh, Varol Burak Aydemir, David W. Wetter, Santosh Kumar, James M. Rehg:
PulseImpute: A Novel Benchmark Task for Pulsative Physiological Signal Imputation. NeurIPS 2022 - [i5]Maxwell A. Xu, Alexander Moreno, Supriya Nagesh, Varol Burak Aydemir, David W. Wetter, Santosh Kumar, James M. Rehg:
PulseImpute: A Novel Benchmark Task for Pulsative Physiological Signal Imputation. CoRR abs/2212.07514 (2022) - 2021
- [i4]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:
Efficient Learning and Decoding of the Continuous-Time Hidden Markov Model for Disease Progression Modeling. CoRR abs/2110.13998 (2021) - [i3]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:
Transformers for prompt-level EMA non-response prediction. CoRR abs/2111.01193 (2021) - [i2]Alexander Moreno, Supriya Nagesh, Zhenke Wu, Walter H. Dempsey, James M. Rehg:
Kernel Deformed Exponential Families for Sparse Continuous Attention. CoRR abs/2111.01222 (2021) - 2020
- [j3]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:
SmokingOpp: Detecting the Smoking 'Opportunity' Context Using Mobile Sensors. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4(1): 4:1-4:26 (2020) - [c5]Alexander Moreno, Zhenke Wu, Jamie Yap, Cho Lam, David W. Wetter, Inbal Nahum-Shani, Walter H. Dempsey, James M. Rehg:
A Robust Functional EM Algorithm for Incomplete Panel Count Data. NeurIPS 2020 - [i1]Alexander Moreno, Zhenke Wu, Jamie Yap, David W. Wetter, Cho Lam, Inbal Nahum-Shani, Walter H. Dempsey, James M. Rehg:
A Functional EM Algorithm for Panel Count Data with Missing Counts. CoRR abs/2003.01169 (2020)
2010 – 2019
- 2019
- [c4]Supriya Nagesh, Alexander Moreno, Hiroshi Ishikawa, Gadi Wollstein, Joel S. Schuman, James M. Rehg:
A Spatiotemporal Approach to Predicting Glaucoma Progression Using a CT-HMM. MLHC 2019: 140-159 - 2017
- [j2]Rosa Filgueira, Amrey Krause, Malcolm P. Atkinson, Iraklis A. Klampanos, Alexander Moreno:
dispel4py. Int. J. High Perform. Comput. Appl. 31(4): 316-334 (2017) - [c3]Walter H. Dempsey, Alexander Moreno, Christy K. Scott, Michael L. Dennis, David H. Gustafson, Susan A. Murphy, James M. Rehg:
iSurvive: An Interpretable, Event-time Prediction Model for mHealth. ICML 2017: 970-979 - [p1]Yu-Ying Liu, Alexander Moreno, Shuang Li, Fuxin Li, Le Song, James M. Rehg:
Learning Continuous-Time Hidden Markov Models for Event Data. Mobile Health - Sensors, Analytic Methods, and Applications 2017: 361-387 - 2016
- [j1]Alexander Moreno, Tucker Balch:
Improving financial computation speed with full and subproblem memoization. Concurr. Comput. Pract. Exp. 28(3): 905-915 (2016) - 2014
- [c2]Rosa Filgueira, Iraklis A. Klampanos, Amrey Krause, Mário David, Alexander Moreno, Malcolm P. Atkinson:
dispel4py: a Python framework for data-intensive scientific computing. DISCS@SC 2014: 9-16 - [c1]Alexander Moreno, Tucker Balch:
Speeding up large-scale financial recomputation with memoization. WHPCF@SC 2014: 17-22
Coauthor Index
aka: James Matthew Rehg
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