Dubrawski, Artur

55 publications

CHIL 2025 Bridging the Utility Gap Between MALDI-TOF and WGS for Affordable Outbreak Cluster Detection Chang Liu, Jieshi Chen, Lee H Harrison, Artur Dubrawski

ICML 2025 Exploring Representations and Interventions in Time Series Foundation Models Michał Wiliński, Mononito Goswami, Willa Potosnak, Nina Żukowska, Artur Dubrawski

CHIL 2025 Global Deep Forecasting with Patient-Specific Pharmacokinetics Willa Potosnak, Cristian Ignacio Challu, Kin G. Olivares, Keith A Dufendach, Artur Dubrawski

ICML 2024 A Rate-Distortion View of Uncertainty Quantification Ifigeneia Apostolopoulou, Benjamin Eysenbach, Frank Nielsen, Artur Dubrawski

AAAI 2024 Adapting Animal Models to Assess Sufficiency of Fluid Resuscitation in Humans (Student Abstract) Ryan Schuerkamp, Xinyu Li, Brian Kunzer, Leonard S. Weiss, Hernando Gómez, Francis X. Guyette, Michael R. Pinsky, Artur Dubrawski

AAAI 2024 Data-Driven Discovery of Design Specifications (Student Abstract) Angela Chen, Nicholas Gisolfi, Artur Dubrawski

NeurIPSW 2024 Implicit Reasoning in Deep Time Series Forecasting Willa Potosnak, Cristian Ignacio Challu, Mononito Goswami, Michał Wiliński, Nina Żukowska, Artur Dubrawski

NeurIPSW 2024 Implicit Reasoning in Deep Time Series Forecasting Willa Potosnak, Cristian Ignacio Challu, Mononito Goswami, Michał Wiliński, Nina Żukowska, Artur Dubrawski

AAAI 2024 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

ICML 2024 MOMENT: A Family of Open Time-Series Foundation Models Mononito Goswami, Konrad Szafer, Arjun Choudhry, Yifu Cai, Shuo Li, Artur Dubrawski

CVPRW 2024 Motion-Aware Needle Segmentation in Ultrasound Images Raghavv Goel, Cecilia G. Morales, Manpreet Singh, Artur Dubrawski, Jonh Galeotti, Howie Choset

AAAI 2024 PICSR: Prototype-Informed Cross-Silo Router for Federated Learning (Student Abstract) Eric Enouen, Sebastian Caldas, Mononito Goswami, Artur Dubrawski

NeurIPSW 2024 TimeSeriesExam: A Time Series Understanding Exam Yifu Cai, Arjun Choudhry, Mononito Goswami, Artur Dubrawski

NeurIPSW 2024 Towards Long-Context Time Series Foundation Models Nina Żukowska, Mononito Goswami, Michał Wiliński, Willa Potosnak, Artur Dubrawski

NeurIPSW 2024 Towards Long-Context Time Series Foundation Models with a Handful of Additional Parameters Nina Żukowska, Mononito Goswami, Michał Wiliński, Willa Potosnak, Artur Dubrawski

NeurIPSW 2024 Unveiling and Manipulating Concepts in Time Series Foundation Models Michał Wiliński, Mononito Goswami, Nina Żukowska, Willa Potosnak, Artur Dubrawski

NeurIPSW 2024 Unveiling and Manipulating Concepts in Time Series Foundation Models Michał Wiliński, Mononito Goswami, Nina Żukowska, Willa Potosnak, Artur Dubrawski

NeurIPS 2023 AQuA: A Benchmarking Tool for Label Quality Assessment Mononito Goswami, Vedant Sanil, Arjun Choudhry, Arvind Srinivasan, Chalisa Udompanyawit, Artur Dubrawski

NeurIPS 2023 Feature Learning for Interpretable, Performant Decision Trees Jack Good, Torin Kovach, Kyle Miller, Artur Dubrawski

ICLR 2023 Generative Modeling Helps Weak Supervision (and Vice Versa) Benedikt Boecking, Nicholas Roberts, Willie Neiswanger, Stefano Ermon, Frederic Sala, Artur Dubrawski

ICMLW 2023 HINT: Hierarchical Coherent Networks for Constrained Probabilistic Forecasting Kin G. Olivares, David Luo, Cristian Ignacio Challu, Stefania La Vattiata, Max Mergenthaler Canseco, Artur Dubrawski

NeurIPSW 2023 JoLT: Jointly Learned Representations of Language and Time-Series Yifu Cai, Mononito Goswami, Arjun Choudhry, Arvind Srinivasan, Artur Dubrawski

AAAI 2023 NHITS: Neural Hierarchical Interpolation for Time Series Forecasting Cristian Challu, Kin G. Olivares, Boris N. Oreshkin, Federico Garza Ramírez, Max Mergenthaler Canseco, Artur Dubrawski

AAAI 2023 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

AAAI 2022 Actionable Model-Centric Explanations (Student Abstract) Cecilia G. Morales, Nicholas Gisolfi, Robert Edman, James Kyle Miller, Artur Dubrawski

MLHC 2022 Auton-Survival: An Open-Source Package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Event Data Chirag Nagpal, Willa Potosnak, Artur Dubrawski

MLHC 2022 Classifying Unstructured Clinical Notes via Automatic Weak Supervision Chufan Gao, Mononito Goswami, Jieshi Chen, Artur Dubrawski

ICLR 2022 Deep Attentive Variational Inference Ifigeneia Apostolopoulou, Ian Char, Elan Rosenfeld, Artur Dubrawski

NeurIPS 2021 End-to-End Weak Supervision Salva Rühling Cachay, Benedikt Boecking, Artur Dubrawski

ICLR 2021 Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling Benedikt Boecking, Willie Neiswanger, Eric Xing, Artur Dubrawski

MLHC 2021 Understanding Clinical Collaborations Through Federated Classifier Selection Sebastian Caldas, Joo Heung Yoon, Michael R. Pinsky, Gilles Clermont, Artur Dubrawski

AAAI 2020 Discriminating Cognitive Disequilibrium and Flow in Problem Solving: A Semi-Supervised Approach Using Involuntary Dynamic Behavioral Signals Mononito Goswami, Lujie Chen, Artur Dubrawski

AAAI 2020 Modeling Involuntary Dynamic Behaviors to Support Intelligent Tutoring (Student Abstract) Mononito Goswami, Lujie Chen, Chufan Gao, Artur Dubrawski

NeurIPS 2020 Preference-Based Reinforcement Learning with Finite-Time Guarantees Yichong Xu, Ruosong Wang, Lin Yang, Aarti Singh, Artur Dubrawski

JMLR 2020 Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information Yichong Xu, Sivaraman Balakrishnan, Aarti Singh, Artur Dubrawski

AAAI 2020 Robust Multi-View Representation Learning (Student Abstract) Sibi Venkatesan, James Kyle Miller, Artur Dubrawski

AISTATS 2020 Thresholding Bandit Problem with Both Duels and Pulls Yichong Xu, Xi Chen, Aarti Singh, Artur Dubrawski

UAI 2020 Zeroth Order Non-Convex Optimization with Dueling-Choice Bandits Yichong Xu, Aparna Joshi, Aarti Singh, Artur Dubrawski

MLHC 2019 Dynamically Personalized Detection of Hemorrhage Chirag Nagpal, Xinyu Li, Michael R. Pinsky, Artur Dubrawski

NeurIPS 2019 Mutually Regressive Point Processes Ifigeneia Apostolopoulou, Scott Linderman, Kyle Miller, Artur Dubrawski

AISTATS 2019 On the Interaction Effects Between Prediction and Clustering Matt Barnes, Artur Dubrawski

ICML 2018 Nonparametric Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information Yichong Xu, Hariank Muthakana, Sivaraman Balakrishnan, Aarti Singh, Artur Dubrawski

JMLR 2017 Classification of Time Sequences Using Graphs of Temporal Constraints Mathieu Guillame-Bert, Artur Dubrawski

NeurIPS 2017 Noise-Tolerant Interactive Learning Using Pairwise Comparisons Yichong Xu, Hongyang Zhang, Kyle Miller, Aarti Singh, Artur Dubrawski

IJCAI 2017 Scaling Active Search Using Linear Similarity Functions Sibi Venkatesan, James Kyle Miller, Jeff Schneider, Artur Dubrawski

UAI 2017 The Binomial Block Bootstrap Estimator for Evaluating Loss on Dependent Clusters Matt Barnes, Artur Dubrawski

IJCAI 2016 VIPR: An Interactive Tool for Meaningful Visualization of High-Dimensional Data Donghan Wang, Madalina Fiterau, Artur Dubrawski

AAAI 2015 Active Learning for Informative Projection Retrieval Madalina Fiterau, Artur Dubrawski

AAAI 2015 Finding Meaningful Gaps to Guide Data Acquisition for a Radiation Adjudication System Nick Gisolfi, Madalina Fiterau, Artur Dubrawski

AAAI 2015 Leveraging Common Structure to Improve Prediction Across Related Datasets Matt Barnes, Nick Gisolfi, Madalina Fiterau, Artur Dubrawski

CVPR 2015 Real-Time Visual Analysis of Microvascular Blood Flow for Critical Care Chao Liu, Hernando Gomez, Srinivasa Narasimhan, Artur Dubrawski, Michael R. Pinsky, Brian Zuckerbraun

NeurIPS 2012 Projection Retrieval for Classification Madalina Fiterau, Artur Dubrawski

NeurIPS 2008 Learning the Semantic Correlation: An Alternative Way to Gain from Unlabeled Text Yi Zhang, Artur Dubrawski, Jeff G. Schneider

AAAI 2006 Monitoring Food Safety by Detecting Patterns in Consumer Complaints Artur Dubrawski, Kimberly Elenberg, Andrew W. Moore, Maheshkumar Sabhnani

AISTATS 1997 Memory Based Stochastic Optimization for Validation and Tuning of Function Approximators Artur Dubrawski, Jeff Schneider