| 2025 | ICML | Exploring Representations and Interventions in Time Series Foundation Models. | Michal Wilinski, Mononito Goswami, Willa Potosnak, Nina Zukowska, Artur Dubrawski |
| 2024 | AAAI | JoLT: Jointly Learned Representations of Language and Time-Series for Clinical Time-Series Interpretation (Student Abstract). | Yifu Cai, Arvind Srinivasan, Mononito Goswami, Arjun Choudhry, Artur Dubrawski |
| 2024 | AAAI | Data-Driven Discovery of Design Specifications (Student Abstract). | Angela Chen, Nicholas Gisolfi, Artur Dubrawski |
| 2024 | AAAI | PICSR: Prototype-Informed Cross-Silo Router for Federated Learning (Student Abstract). | Eric Enouen, Sebastian Caldas, Mononito Goswami, Artur Dubrawski |
| 2024 | AAAI | Adapting Animal Models to Assess Sufficiency of Fluid Resuscitation in Humans (Student Abstract). | Ryan Schuerkamp, Xinyu Li, Brian Kunzer, Leonard S. Weiss, Hernando Gmez, Francis X. Guyette, Michael R. Pinsky, Artur Dubrawski |
| 2024 | CVPR | Motion-aware Needle Segmentation in Ultrasound Images. | Raghavv Goel, Cecilia G. Morales, Manpreet Singh, Artur Dubrawski, Jonh Galeotti, Howie Choset |
| 2024 | ICLR | Exploring Loss Design Techniques For Decision Tree Robustness To Label Noise. | Lukasz Sztukiewicz, Jack Henry Good, Artur Dubrawski |
| 2024 | ICML | A Rate-Distortion View of Uncertainty Quantification. | Ifigeneia Apostolopoulou, Benjamin Eysenbach, Frank Nielsen, Artur Dubrawski |
| 2024 | ICML | MOMENT: A Family of Open Time-series Foundation Models. | Mononito Goswami, Konrad Szafer, Arjun Choudhry, Yifu Cai, Shuo Li, Artur Dubrawski |
| 2024 | IROS | Bifurcation Identification for Ultrasound-driven Robotic Cannulation. | Cecilia G. Morales, Dhruv Srikanth, Jack H. Good, Keith A. Dufendach, Artur Dubrawski |
| 2024 | MICCAI | Enhanced Uncertainty Estimation in Ultrasound Image Segmentation with MSU-Net. | Rohini Banerjee, Cecilia G. Morales, Artur Dubrawski |
| 2023 | AAAI | NHITS: Neural Hierarchical Interpolation for Time Series Forecasting. | Cristian Challu, Kin G. Olivares, Boris N. Oreshkin, Federico Garza Ramrez, Max Mergenthaler Canseco, Artur Dubrawski |
| 2023 | AAAI | Ordinal Programmatic Weak Supervision and Crowdsourcing for Estimating Cognitive States (Student Abstract). | Prakruthi Pradeep, Benedikt Boecking, Nicholas Gisolfi, Jacob R. Kintz, Torin K. Clark, Artur Dubrawski |
| 2023 | ICLR | Generative Modeling Helps Weak Supervision (and Vice Versa). | Benedikt Boecking, Nicholas Carl Roberts, Willie Neiswanger, Stefano Ermon, Frederic Sala, Artur Dubrawski |
| 2023 | ICRA | Reslicing Ultrasound Images for Data Augmentation and Vessel Reconstruction. | Cecilia G. Morales, Jason Yao, Tejas Rane, Robert Edman, Howie Choset, Artur Dubrawski |
| 2022 | AAAI | Actionable Model-Centric Explanations (Student Abstract). | Cecilia G. Morales, Nicholas Gisolfi, Robert Edman, James Kyle Miller, Artur Dubrawski |
| 2022 | AMIA | Weakly Supervised Classification of Vital Sign Alerts as Real or Artifact. | Arnab Dey, Mononito Goswami, Joo Heung Yoon, Gilles Clermont, Michael R. Pinsky, Marilyn Hravnak, Artur Dubrawski |
| 2022 | ICLR | Deep Attentive Variational Inference. | Ifigeneia Apostolopoulou, Ian Char, Elan Rosenfeld, Artur Dubrawski |
| 2022 | KDD | Counterfactual Phenotyping with Censored Time-to-Events. | Chirag Nagpal, Mononito Goswami, Keith Dufendach, Artur Dubrawski |
| 2021 | AMIA | Using Machine Learning to Support Transfer of Best Practices in Healthcare. | Sebastian Caldas, Jieshi Chen, Artur Dubrawski |
| 2021 | AMIA | Weak Supervision for Affordable Modeling of Electrocardiogram Data. | Mononito Goswami, Benedikt Boecking, Artur Dubrawski |
| 2021 | EDM | Affect, Support and Personal Factors: Multimodal Causal Models of One-on-one Coaching. | Lujie Karen Chen, Joseph D. Ramsey, Artur Dubrawski |
| 2021 | ICLR | Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling. | Benedikt Boecking, Willie Neiswanger, Eric P. Xing, Artur Dubrawski |
| 2020 | AAAI | Discriminating Cognitive Disequilibrium and Flow in Problem Solving: A Semi-Supervised Approach Using Involuntary Dynamic Behavioral Signals. | Mononito Goswami, Lujie Chen, Artur Dubrawski |
| 2020 | AAAI | Modeling Involuntary Dynamic Behaviors to Support Intelligent Tutoring (Student Abstract). | Mononito Goswami, Lujie Chen, Chufan Gao, Artur Dubrawski |
| 2020 | AAAI | Robust Multi-View Representation Learning (Student Abstract). | Sibi Venkatesan, James Kyle Miller, Artur Dubrawski |
| 2020 | AISTATS | Thresholding Bandit Problem with Both Duels and Pulls. | Yichong Xu, Xi Chen, Aarti Singh, Artur Dubrawski |
| 2020 | UAI | Zeroth Order Non-convex optimization with Dueling-Choice Bandits. | Yichong Xu, Aparna Joshi, Aarti Singh, Artur Dubrawski |
| 2019 | AISTATS | On the Interaction Effects Between Prediction and Clustering. | Matt Barnes, Artur Dubrawski |
| 2019 | EDM | Parent as a Companion for Solving Challenging Math Problems: Insights from Multi-modal Observational Data. | Lujie Chen, Eva Gjekmarkaj, Artur Dubrawski |
| 2019 | ICDM | Prognostication of Neurological Recovery by Analyzing Structural Breaks in EEG Data. | David Bethge, Jieshi Chen, Oliver Grothe, Jonathan Elmer, Artur Dubrawski |
| 2018 | ACSSC | Interactive Linear Regression with Pairwise Comparisons. | Yichong Xu, Sivaraman Balakrishnan, Aarti Singh, Artur Dubrawski |
| 2018 | ICML | Nonparametric Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information. | Yichong Xu, Hariank Muthakana, Sivaraman Balakrishnan, Aarti Singh, Artur Dubrawski |
| 2018 | KDD | Active Search of Connections for Case Building and Combating Human Trafficking. | Reihaneh Rabbany, David Bayani, Artur Dubrawski |
| 2017 | AMIA | Utility of Anti-hypertension Prescription Orders in Predicting Future Hypertensive Instability Events. | Xuan Wang, Lujie Chen, Marilyn Hravnak, Gilles Clermont, Michael R. Pinsky, Artur Dubrawski |
| 2017 | ICDM | Semi-Supervised Prediction of Comorbid Rare Conditions Using Medical Claims Data. | Chirag Nagpal, Kyle Miller, Tiffany Pellathy, Marilyn Hravnak, Gilles Clermont, Michael R. Pinsky, Artur Dubrawski |
| 2017 | IJCAI | Scaling Active Search using Linear Similarity Functions. | Sibi Venkatesan, James Kyle Miller, Jeff Schneider, Artur Dubrawski |
| 2017 | LAK | Learning from learning curves: discovering interpretable learning trajectories. | Lujie Chen, Artur Dubrawski |
| 2017 | UAI | The Binomial Block Bootstrap Estimator for Evaluating Loss on Dependent Clusters. | Matt Barnes, Artur Dubrawski |
| 2016 | AMIA | A Framework for Visual Tracking of Risk and its Drivers in Monitoring Patients Susceptible for Cardiorespiratory Instability. | Lujie Chen, Gilles Clermont, Marilyn Hravnak, Michael R. Pinsky, Artur Dubrawski |
| 2016 | EDM | Riding an emotional roller-coaster: A multimodal study of young child's math problem solving activities. | Lujie Chen, Xin Li, Zhuyun Xia, Zhanmei Song, Louis-Philippe Morency, Artur Dubrawski |
| 2016 | IJCAI | VIPR: An Interactive Tool for Meaningful Visualization of High-Dimensional Data. | Donghan Wang, Madalina Fiterau, Artur Dubrawski |
| 2015 | AAAI | Leveraging Common Structure to Improve Prediction across Related Datasets. | Matt Barnes, Nick Gisolfi, Madalina Fiterau, Artur Dubrawski |
| 2015 | AAAI | Active Learning for Informative Projection Retrieval. | Madalina Fiterau, Artur Dubrawski |
| 2015 | AAAI | Finding Meaningful Gaps to Guide Data Acquisition for a Radiation Adjudication System. | Nick Gisolfi, Madalina Fiterau, Artur Dubrawski |
| 2015 | AMIA | Modelling Risk of Cardio-Respiratory Instability as a Heterogeneous Process. | Lujie Chen, Artur Dubrawski, Marilyn Hravnak, Gilles Clermont, Michael R. Pinsky |
| 2015 | CVPR | Real-time visual analysis of microvascular blood flow for critical care. | Chao Liu, Hernando Gomez, Srinivasa G. Narasimhan, Artur Dubrawski, Michael R. Pinsky, Brian Zuckerbraun |
| 2013 | ICMLA | Informative Projection Recovery for Classification, Clustering and Regression. | Madalina Fiterau, Artur Dubrawski |
| 2010 | ICASSP | Automatic state discovery for unstructured audio scene classification. | Julian Ramos, Sajid M. Siddiqi, Artur Dubrawski, Geoffrey J. Gordon, Abhishek Sharma |
| 2010 | SDM | Learning Compressible Models. | Yi Zhang, Jeff G. Schneider, Artur Dubrawski |
| 2009 | ICTD | T-Cube Web Interface in support of real-time bio-surveillance program. | Artur Dubrawski, Maheshkumar Sabhnani, Michael Knight, Michael Baysek, Daniel B. Neill, Saswati Ray, Anna Michalska, Nuwan Waidyanatha |
| 2008 | AMIA | Learning Detectors of Events in Multivariate Time Series. | Josep Roure, Artur Dubrawski, Jeff G. Schneider |
| 2006 | AAAI | Monitoring Food Safety by Detecting Patterns in Consumer Complaints. | Artur Dubrawski, Kimberly Elenberg, Andrew W. Moore, Maheshkumar Sabhnani |
| 1998 | ICRA | A Method for Tracking Pose of a Mobile Robot Equipped with a Scanning Laser Range Finder. | Artur Dubrawski, Barbara Siemiatkowska |
| 1997 | AISTATS | Memory Based Stochastic Optimization for Validation and Tuning of Function Approximators. | Artur Dubrawski, Jeff Schneider |
| 1997 | IROS | Tuning neural networks with stochastic optimization. | Artur Dubrawski |
| 1994 | ICRA | Self-Supervised Neural System for Reactive Navigation. | Artur Dubrawski, James L. Crowley |
| 1994 | IROS | Learning to categorize perceptual space of a mobile robot using fuzzy-ART neural network. | Artur Dubrawski, Patrick Reignier |