default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDAlexander Moreno
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-09-10 02:05 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
