Artur Dubrawski

ORCID

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 113

Top Venues

Publications

Mononito Goswami, Konrad Szafer, Arjun Choudhry, Yifu Cai, Shuo Li, Artur Dubrawski
MOMENT: A Family of Open Time-series Foundation Models. CoRR (2024)
Yifu Cai, Arvind Srinivasan, Mononito Goswami, Arjun Choudhry, Artur Dubrawski
JoLT: Jointly Learned Representations of Language and Time-Series for Clinical Time-Series Interpretation (Student Abstract). AAAI (2024)
Ryan Schuerkamp, Xinyu Li, Brian Kunzer, Leonard S. Weiss, Hernando Gómez, Francis X. Guyette, Michael R. Pinsky, Artur Dubrawski
Adapting Animal Models to Assess Sufficiency of Fluid Resuscitation in Humans (Student Abstract). AAAI (2024)
Lukasz Sztukiewicz, Jack Henry Good, Artur Dubrawski
Exploring Loss Design Techniques For Decision Tree Robustness To Label Noise. CoRR (2024)
Chufan Gao, Nicholas Gisolfi, Artur Dubrawski
Signal Quality Auditing for Time-series Data. CoRR (2024)
Rohini Banerjee, Cecilia G. Morales, Artur Dubrawski
Enhanced Uncertainty Estimation in Ultrasound Image Segmentation with MSU-Net. CoRR (2024)
Ifigeneia Apostolopoulou, Benjamin Eysenbach, Frank Nielsen, Artur Dubrawski
A Rate-Distortion View of Uncertainty Quantification. CoRR (2024)
Benedikt Boecking, Vincent Jeanselme, Artur Dubrawski
Constrained clustering and multiple kernel learning without pairwise constraint relaxation. Adv. Data Anal. Classif. 18 (2) (2024)
Lukasz Sztukiewicz, Jack Henry Good, Artur Dubrawski
Exploring Loss Design Techniques For Decision Tree Robustness To Label Noise. Tiny Papers @ ICLR (2024)
Eric Enouen, Sebastian Caldas, Mononito Goswami, Artur Dubrawski
PICSR: Prototype-Informed Cross-Silo Router for Federated Learning (Student Abstract). AAAI (2024)
Angela Chen, Nicholas Gisolfi, Artur Dubrawski
Data-Driven Discovery of Design Specifications (Student Abstract). AAAI (2024)
Raghavv Goel, Cecilia G. Morales, Manpreet Singh, Artur Dubrawski, John M. Galeotti, Howie Choset
Motion Informed Needle Segmentation in Ultrasound Images. CoRR (2023)
Jack H. Good, Nicholas Gisolfi, James Kyle Miller, Artur Dubrawski
Verification of Fuzzy Decision Trees. IEEE Trans. Software Eng. 49 (5) (2023)
Benedikt Boecking, Nicholas Roberts, Willie Neiswanger, Stefano Ermon, Frederic Sala, Artur Dubrawski
Generative Modeling Helps Weak Supervision (and Vice Versa). ICLR (2023)
Cecilia G. Morales, Jason Yao, Tejas Rane, Robert Edman, Howie Choset, Artur Dubrawski
Reslicing Ultrasound Images for Data Augmentation and Vessel Reconstruction. CoRR (2023)
Prakruthi Pradeep, Benedikt Boecking, Nicholas Gisolfi, Jacob R. Kintz, Torin K. Clark, Artur Dubrawski
Ordinal Programmatic Weak Supervision and Crowdsourcing for Estimating Cognitive States (Student Abstract). AAAI (2023)
Mononito Goswami, Vedant Sanil, Arjun Choudhry, Arvind Srinivasan, Chalisa Udompanyawit, Artur Dubrawski
AQuA: A Benchmarking Tool for Label Quality Assessment. NeurIPS (2023)
Cristian Challu, Kin G. Olivares, Boris N. Oreshkin, Federico Garza Ramírez, Max Mergenthaler Canseco, Artur Dubrawski
NHITS: Neural Hierarchical Interpolation for Time Series Forecasting. AAAI (2023)
Willa Potosnak, Cristian Challu, Kin G. Olivares, Artur Dubrawski
Forecasting Response to Treatment with Deep Learning and Pharmacokinetic Priors. CoRR (2023)
Mononito Goswami, Vedant Sanil, Arjun Choudhry, Arvind Srinivasan, Chalisa Udompanyawit, Artur Dubrawski
AQuA: A Benchmarking Tool for Label Quality Assessment. CoRR (2023)
Piotr S. Maciag, Robert Bembenik, Artur Dubrawski
Discovery of crime event sequences with constricted spatio-temporal sequential patterns. J. Big Data 10 (1) (2023)
Chirag Nagpal, Vedant Sanil, Artur Dubrawski
Recovering Sparse and Interpretable Subgroups with Heterogeneous Treatment Effects with Censored Time-to-Event Outcomes. CoRR (2023)
Jack H. Good, Torin Kovach, Kyle Miller, Artur Dubrawski
Feature Learning for Interpretable, Performant Decision Trees. NeurIPS (2023)
Kin G. Olivares, David Luo, Cristian Challu, Stefania La Vattiata, Max Mergenthaler, Artur Dubrawski
HINT: Hierarchical Mixture Networks For Coherent Probabilistic Forecasting. CoRR (2023)
Cecilia G. Morales, Jason Yao, Tejas Rane, Robert Edman, Howie Choset, Artur Dubrawski
Reslicing Ultrasound Images for Data Augmentation and Vessel Reconstruction. ICRA (2023)
Kin G. Olivares, Federico Garza, David Luo, Cristian Challu, Max Mergenthaler, Artur Dubrawski
HierarchicalForecast: A Reference Framework for Hierarchical Forecasting in Python. CoRR (2022)
Ifigeneia Apostolopoulou, Ian Char, Elan Rosenfeld, Artur Dubrawski
Deep Attentive Variational Inference. ICLR (2022)
Chirag Nagpal, Willa Potosnak, Artur Dubrawski
auton-survival: an Open-Source Package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Event Data. CoRR (2022)
Xinyu Li, Michael R. Pinsky, Artur Dubrawski
Automated Assessment of Cardiovascular Sufficiency Using Non-Invasive Physiological Data. Sensors 22 (3) (2022)
Benedikt Boecking, Willie Neiswanger, Nicholas Carl Roberts, Stefano Ermon, Frederic Sala, Artur Dubrawski
Generative Modeling Helps Weak Supervision (and Vice Versa). CoRR (2022)
Chufan Gao, Mononito Goswami, Jieshi Chen, Artur Dubrawski
Classifying Unstructured Clinical Notes via Automatic Weak Supervision. MLHC (2022)
Chirag Nagpal, Mononito Goswami, Keith Dufendach, Artur Dubrawski
Counterfactual Phenotyping with Censored Time-to-Events. CoRR (2022)
Maria De-Arteaga, Alexandra Chouldechova, Artur Dubrawski
Doubting AI Predictions: Influence-Driven Second Opinion Recommendation. CoRR (2022)
Arnab Dey, Mononito Goswami, Joo Heung Yoon, Gilles Clermont, Michael R. Pinsky, Marilyn Hravnak, Artur Dubrawski
Weakly Supervised Classification of Vital Sign Alerts as Real or Artifact. AMIA (2022)
Cecilia G. Morales, Nicholas Gisolfi, Robert Edman, James K. Miller, Artur Dubrawski
Actionable Model-Centric Explanations (Student Abstract). AAAI (2022)
Stephanie Helman, Martha Ann Terry, Tiffany Pellathy, Andrew Williams, Artur Dubrawski, Gilles Clermont, Michael R. Pinsky, Salah Al-Zaiti, Marilyn Hravnak
Engaging clinicians early during the development of a graphical user display of an intelligent alerting system at the bedside. Int. J. Medical Informatics 159 (2022)
Chirag Nagpal, Mononito Goswami, Keith Dufendach, Artur Dubrawski
Counterfactual Phenotyping with Censored Time-to-Events. KDD (2022)
Chufan Gao, Mononito Goswami, Jieshi Chen, Artur Dubrawski
Classifying Unstructured Clinical Notes via Automatic Weak Supervision. CoRR (2022)
Arnab Dey, Mononito Goswami, Joo Heung Yoon, Gilles Clermont, Michael R. Pinsky, Marilyn Hravnak, Artur Dubrawski
Weakly Supervised Classification of Vital Sign Alerts as Real or Artifact. CoRR (2022)
Michael R. Pinsky, Artur Dubrawski, Gilles Clermont
Intelligent Clinical Decision Support. Sensors 22 (4) (2022)
Chirag Nagpal, Willa Potosnak, Artur Dubrawski
auton-survival: an Open-Source Package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Event Data. MLHC (2022)
Cristian Challu, Kin G. Olivares, Boris N. Oreshkin, Federico Garza, Max Mergenthaler, Artur Dubrawski
N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting. CoRR (2022)
Brian Kunzer, Mario Berges, Artur Dubrawski
The Digital Twin Landscape at the Crossroads of Predictive Maintenance, Machine Learning and Physics Based Modeling. CoRR (2022)
Benedikt Boecking, Vincent Jeanselme, Artur Dubrawski
Constrained Clustering and Multiple Kernel Learning without Pairwise Constraint Relaxation. CoRR (2022)
Mononito Goswami, Benedikt Boecking, Artur Dubrawski
Weak Supervision for Affordable Modeling of Electrocardiogram Data. CoRR (2022)
Cristian Challu, Kin G. Olivares, Gus Welter, Artur Dubrawski
DMIDAS: Deep Mixed Data Sampling Regression for Long Multi-Horizon Time Series Forecasting. CoRR (2021)
Kin G. Olivares, Cristian Challu, Grzegorz Marcjasz, Rafal Weron, Artur Dubrawski
Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx. CoRR (2021)
Chirag Nagpal, Vincent Jeanselme, Artur Dubrawski
Deep Parametric Time-to-Event Regression with Time-Varying Covariates. SPACA (2021)
Cecilia G. Morales, Nicholas Gisolfi, Robert Edman, James K. Miller, Artur Dubrawski
Provably Robust Model-Centric Explanations for Critical Decision-Making. CoRR (2021)
Mononito Goswami, Benedikt Boecking, Artur Dubrawski
Weak Supervision for Affordable Modeling of Electrocardiogram Data. AMIA (2021)
Sebastian Caldas, Jieshi Chen, Artur Dubrawski
Using Machine Learning to Support Transfer of Best Practices in Healthcare. AMIA (2021)
Sebastian Caldas, Joo Heung Yoon, Michael R. Pinsky, Gilles Clermont, Artur Dubrawski
Understanding Clinical Collaborations Through Federated Classifier Selection. MLHC (2021)
Lujie Karen Chen, Joseph D. Ramsey, Artur Dubrawski
Affect, Support and Personal Factors: Multimodal Causal Models of One-on-one Coaching. EDM (2021)
Piotr S. Maciag, Robert Bembenik, Artur Dubrawski
Discovery of Crime Event Sequences with Constricted Spatio-Temporal Sequential Patterns. CoRR (2021)
Chirag Nagpal, Xinyu Li, Artur Dubrawski
Deep Survival Machines: Fully Parametric Survival Regression and Representation Learning for Censored Data With Competing Risks. IEEE J. Biomed. Health Informatics 25 (8) (2021)
Maria De-Arteaga, Artur Dubrawski, Alexandra Chouldechova
Leveraging Expert Consistency to Improve Algorithmic Decision Support. CoRR (2021)
Salva Rühling Cachay, Benedikt Boecking, Artur Dubrawski
End-to-End Weak Supervision. CoRR (2021)
Salva Rühling Cachay, Benedikt Boecking, Artur Dubrawski
End-to-End Weak Supervision. NeurIPS (2021)
Salva Rühling Cachay, Benedikt Boecking, Artur Dubrawski
Dependency Structure Misspecification in Multi-Source Weak Supervision Models. CoRR (2021)
Benedikt Boecking, Willie Neiswanger, Eric P. Xing, Artur Dubrawski
Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling. ICLR (2021)
Benedikt Boecking, Willie Neiswanger, Eric Po Xing, Artur Dubrawski
Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling. CoRR (2020)
Yichong Xu, Xi Chen, Aarti Singh, Artur Dubrawski
Thresholding Bandit Problem with Both Duels and Pulls. AISTATS (2020)
Yichong Xu, Ruosong Wang, Lin F. Yang, Aarti Singh, Artur Dubrawski
Preference-based Reinforcement Learning with Finite-Time Guarantees. NeurIPS (2020)
Sibi Venkatesan, James K. Miller, Artur Dubrawski
Robust Multi-View Representation Learning (Student Abstract). AAAI (2020)
Yichong Xu, Ruosong Wang, Lin F. Yang, Aarti Singh, Artur Dubrawski
Preference-based Reinforcement Learning with Finite-Time Guarantees. CoRR (2020)
Yichong Xu, Sivaraman Balakrishnan, Aarti Singh, Artur Dubrawski
Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information. J. Mach. Learn. Res. 21 (2020)
Chirag Nagpal, Xinyu Li, Artur Dubrawski
Deep Survival Machines: Fully Parametric Survival Regression and Representation Learning for Censored Data with Competing Risks. CoRR (2020)
Yichong Xu, Aparna Joshi, Aarti Singh, Artur Dubrawski
Zeroth Order Non-convex optimization with Dueling-Choice Bandits. UAI (2020)
Ifigeneia Apostolopoulou, Elan Rosenfeld, Artur Dubrawski
Self-Reflective Variational Autoencoder. CoRR (2020)
Mononito Goswami, Lujie Chen, Artur Dubrawski
Discriminating Cognitive Disequilibrium and Flow in Problem Solving: A Semi-Supervised Approach Using Involuntary Dynamic Behavioral Signals. AAAI (2020)
Mononito Goswami, Lujie Chen, Chufan Gao, Artur Dubrawski
Modeling Involuntary Dynamic Behaviors to Support Intelligent Tutoring (Student Abstract). AAAI (2020)
Kyle Miller, Artur Dubrawski
System-Level Predictive Maintenance: Review of Research Literature and Gap Analysis. CoRR (2020)
Yichong Xu, Xi Chen, Aarti Singh, Artur Dubrawski
Thresholding Bandit Problem with Both Duels and Pulls. CoRR (2019)
Yuexin Wu, Yichong Xu, Aarti Singh, Yiming Yang, Artur Dubrawski
Active Learning for Graph Neural Networks via Node Feature Propagation. CoRR (2019)
Chirag Nagpal, Xinyu Li, Michael R. Pinsky, Artur Dubrawski
Dynamically Personalized Detection of Hemorrhage. MLHC (2019)
Chirag Nagpal, Rohan Sangave, Amit Chahar, Parth Shah, Artur Dubrawski, Bhiksha Raj
Nonlinear Semi-Parametric Models for Survival Analysis. CoRR (2019)
Matt Barnes, Artur Dubrawski
On the Interaction Effects Between Prediction and Clustering. AISTATS (2019)
David Bethge, Jieshi Chen, Oliver Grothe, Jonathan Elmer, Artur Dubrawski
Prognostication of Neurological Recovery by Analyzing Structural Breaks in EEG Data. ICDM Workshops (2019)
Chufan Gao, Fabian Falck, Mononito Goswami, Anthony Wertz, Michael R. Pinsky, Artur Dubrawski
Detecting Patterns of Physiological Response to Hemodynamic Stress via Unsupervised Deep Learning. CoRR (2019)
Benedikt Boecking, Artur Dubrawski
Pairwise Feedback for Data Programming. CoRR (2019)
Yichong Xu, Aparna Joshi, Aarti Singh, Artur Dubrawski
Zeroth Order Non-convex optimization with Dueling-Choice Bandits. CoRR (2019)
Lujie Chen, Eva Gjekmarkaj, Artur Dubrawski
Parent as a Companion for Solving Challenging Math Problems: Insights from Multi-modal Observational Data. EDM (2019)
Ifigeneia Apostolopoulou, Scott W. Linderman, Kyle Miller, Artur Dubrawski
Mutually Regressive Point Processes. NeurIPS (2019)
James K. Miller, Jieshi Chen, Alexander Sundermann, Jane W. Marsh, Melissa I. Saul, Kathleen A. Shutt, Marissa Pacey, Mustapha M. Mustapha, Lee H. Harrison, Artur Dubrawski
Statistical outbreak detection by joining medical records and pathogen similarity. J. Biomed. Informatics 91 (2019)
Lujie Chen, Artur Dubrawski
Accelerated apprenticeship: teaching data science problem solving skills at scale. L@S (2018)
Maria De-Arteaga, Artur Dubrawski, Alexandra Chouldechova
Learning under selective labels in the presence of expert consistency. CoRR (2018)
Maria De-Arteaga, William Herlands, Daniel B. Neill, Artur Dubrawski
Machine Learning for the Developing World. ACM Trans. Manag. Inf. Syst. 9 (2) (2018)
Igor Gitman, Jieshi Chen, Eric Lei, Artur Dubrawski
Novel Prediction Techniques Based on Clusterwise Linear Regression. CoRR (2018)
Nick Gisolfi, Artur Dubrawski
Revealing Actionable Simplicity in Data. AAAI Spring Symposia (2018)
Reihaneh Rabbany, David Bayani, Artur Dubrawski
Active Search of Connections for Case Building and Combating Human Trafficking. KDD (2018)
Yichong Xu, Hariank Muthakana, Sivaraman Balakrishnan, Aarti Singh, Artur Dubrawski
Nonparametric Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information. ICML (2018)
Kin Gutierrez, Jin Li, Cristian Challu, Artur Dubrawski
Double Adaptive Stochastic Gradient Optimization. CoRR (2018)
Yichong Xu, Hariank Muthakana, Sivaraman Balakrishnan, Aarti Singh, Artur Dubrawski
Nonparametric Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information. CoRR (2018)
Yichong Xu, Sivaraman Balakrishnan, Aarti Singh, Artur Dubrawski
Interactive Linear Regression with Pairwise Comparisons. ACSSC (2018)
Matt Barnes, Artur Dubrawski
Dependency Leakage: Analysis and Scalable Estimators. CoRR (2018)
Sibi Venkatesan, James K. Miller, Jeff Schneider, Artur Dubrawski
Scaling Active Search using Linear Similarity Functions. CoRR (2017)
Chirag Nagpal, Kyle Miller, Tiffany Pellathy, Marilyn Hravnak, Gilles Clermont, Michael R. Pinsky, Artur Dubrawski
Semi-Supervised Prediction of Comorbid Rare Conditions Using Medical Claims Data. ICDM Workshops (2017)
Mathieu Guillame-Bert, Artur Dubrawski, Donghan Wang, Marilyn Hravnak, Gilles Clermont, Michael R. Pinsky
Learning temporal rules to forecast instability in continuously monitored patients. J. Am. Medical Informatics Assoc. 24 (1) (2017)
Yichong Xu, Hongyang Zhang, Aarti Singh, Artur Dubrawski, Kyle Miller
Noise-Tolerant Interactive Learning Using Pairwise Comparisons. NIPS (2017)
Chirag Nagpal, Kyle Miller, Benedikt Boecking, Artur Dubrawski
An Entity Resolution Approach to Isolate Instances of Human Trafficking Online. NUT@EMNLP (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Artur Dubrawski