Artur Dubrawski
37 papers · 2008–2025 · 10 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 9 separate collaboration groups - the largest holds only 35% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Artur Dubrawski?
5 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Mononito Goswami, Michael R. Pinsky, Arjun Choudhry
13 papers
· 2015–2025
· AAAI, MLHC, ICML
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Exploring Representations and Interventions in Time Series Foundation Models
ICML 2025
Adapting Animal Models to Assess Sufficiency of Fluid Resuscitation in Humans (Student Abstract)
AAAI 2024
JoLT: Jointly Learned Representations of Language and Time-Series for Clinical Time-Series Interpretation (Student Abstract)
AAAI 2024
MOMENT: A Family of Open Time-series Foundation Models
ICML 2024
PICSR: Prototype-Informed Cross-Silo Router for Federated Learning (Student Abstract)
AAAI 2024
AQuA: A Benchmarking Tool for Label Quality Assessment
NeurIPS 2023
Classifying Unstructured Clinical Notes via Automatic Weak Supervision
MLHC 2022
auton-survival: an Open-Source Package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Event Data
MLHC 2022
Understanding Clinical Collaborations Through Federated Classifier Selection
MLHC 2021
Discriminating Cognitive Disequilibrium and Flow in Problem Solving: A Semi-Supervised Approach Using Involuntary Dynamic Behavioral Signals
AAAI 2020
Modeling Involuntary Dynamic Behaviors to Support Intelligent Tutoring (Student Abstract)
AAAI 2020
Dynamically Personalized Detection of Hemorrhage
MLHC 2019
Real-Time Visual Analysis of Microvascular Blood Flow for Critical Care
CVPR 2015
4 papers whose co-authors appear nowhere else under this name
NHITS: Neural Hierarchical Interpolation for Time Series Forecasting
AAAI 2023
On the Interaction Effects Between Prediction and Clustering
AISTATS 2019
Classification of Time Sequences using Graphs of Temporal Constraints
JMLR 2017
Learning the Semantic Correlation: An Alternative Way to Gain from Unlabeled Text
NeurIPS 2008