Self-Supervised Neural System for Reactive Navigation. - Artur Dubrawski; James L. Crowley (ICRA, 1994)

Learning to categorize perceptual space of a mobile robot using fuzzy-ART neural network. - Artur Dubrawski; Patrick Reignier (IROS, 1994)

Learning locomotion reflexes: A self-supervised neural system for a mobile robot. - Artur Dubrawski; James L. Crowley (Robotics Auton. Syst., 1994)

Artificial neural network for mobile robot topological localization. - Janusz W. Racz; Artur Dubrawski (Robotics Auton. Syst., 1995)

Memory Based Stochastic Optimization for Validation and Tuning of Function Approximators. - Artur Dubrawski; Jeff Schneider 001 (AISTATS, 1997)

Tuning neural networks with stochastic optimization. - Artur Dubrawski (IROS, 1997)

Stochastic validation for automated tuning of neural network's hyper-parameters. - Artur Dubrawski (Robotics Auton. Syst., 1997)

A Method for Tracking Pose of a Mobile Robot Equipped with a Scanning Laser Range Finder. - Artur Dubrawski; Barbara Siemiatkowska (ICRA, 1998)

Cellular Neural Networks for Navigation of a Mobile Robot. - Barbara Siemiatkowska; Artur Dubrawski (Rough Sets and Current Trends in Computing, 1998)

Monitoring Food Safety by Detecting Patterns in Consumer Complaints. - Artur Dubrawski; Kimberly Elenberg; Andrew W. Moore 001; Maheshkumar Sabhnani (AAAI, 2006)

Applying Outbreak Detection Algorithms to Prognostics. - Artur Dubrawski; Michael Baysek; Shannon Mikus; Charles McDaniel; Bradley Mowry; Laurel Moyer; John Östlund; Norman K. Sondheimer; Timothy Stewart (AAAI Fall Symposium: Artificial Intelligence for Prognostics, 2007)

A Study into Detection of Bio-Events in Multiple Streams of Surveillance Data. - Josep Roure; Artur Dubrawski; Jeff G. Schneider (BioSurveillance, 2007)

Learning Detectors of Events in Multivariate Time Series. - Josep Roure; Artur Dubrawski; Jeff G. Schneider (AMIA, 2008)

Dynamic Network Model for Predicting Occurrences of Salmonella at Food Facilities. - Purnamrita Sarkar; Lujie Chen; Artur Dubrawski (BioSecure, 2008)

Learning the Semantic Correlation: An Alternative Way to Gain from Unlabeled Text. - Yi Zhang 010; Jeff G. Schneider; Artur Dubrawski (NIPS, 2008)

Trade-offs between Agility and Reliability of Predictions in Dynamic Social Networks Used to Model Risk of Microbial Contamination of Food. - Artur Dubrawski; Purnamrita Sarkar; Lujie Chen (ASONAM, 2009)

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 (ICTD, 2009)

Automatic state discovery for unstructured audio scene classification. - Julian Ramos 001; Sajid M. Siddiqi; Artur Dubrawski; Geoffrey J. Gordon; Abhishek Sharma (ICASSP, 2010)

T-Cube Web Interface as a Tool for Detecting Disease Outbreaks in Real-Time: A Pilot in India and Sri Lanka. - Nuwan Waidyanatha; Chamindu Sampath; Artur Dubrawski; Maheshkumar Sabhnani; Lujie Chen; M. Ganesan; Pushpa Mary Vincy (RIVF, 2010)

Learning Compressible Models. - Yi Zhang 010; Jeff G. Schneider; Artur Dubrawski (SDM, 2010)

Computationally efficient scoring of activity using demographics and connectivity of entities. - Artur Dubrawski; John Östlund; Lujie Chen; Andrew W. Moore 001 (Inf. Technol. Manag., 2010)

Affordable System for Rapid Detection and Mitigation of Emerging Diseases. - Nuwan Waidyanatha; Artur Dubrawski; M. Ganesan; Gordon A. Gow (Int. J. E Health Medical Commun., 2011)

Projection Retrieval for Classification. - Madalina Fiterau; Artur Dubrawski (NIPS, 2012)

Informative Projection Recovery for Classification, Clustering and Regression. - Madalina Fiterau; Artur Dubrawski (ICMLA (1), 2013)

Leveraging Common Structure to Improve Prediction across Related Datasets. - Matt Barnes 001; Nick Gisolfi; 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)

Modelling Risk of Cardio-Respiratory Instability as a Heterogeneous Process. - Lujie Chen; Artur Dubrawski; Marilyn Hravnak; Gilles Clermont; Michael R. Pinsky (AMIA, 2015)

Real-time visual analysis of microvascular blood flow for critical care. - Chao Liu 064; Hernando Gomez; Srinivasa G. Narasimhan; Artur Dubrawski; Michael R. Pinsky; Brian Zuckerbraun (CVPR, 2015)

Performance Bounds for Pairwise Entity Resolution. - Matt Barnes 001; Kyle Miller 001; Artur Dubrawski (CoRR, 2015)

Canonical Autocorrelation Analysis. - Maria De-Arteaga; Artur Dubrawski; Peter Huggins (CoRR, 2015)

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 (AMIA, 2016)

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 (EDM, 2016)

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

Data-Driven Classification of Screwdriving Operations. - Reuben M. Aronson; Ankit Bhatia; Zhenzhong Jia; Mathieu Guillame-Bert; David A. Bourne; Artur Dubrawski; Matthew T. Mason (ISER, 2016)

Batched Lazy Decision Trees. - Mathieu Guillame-Bert; Artur Dubrawski (CoRR, 2016)

Suppressing Background Radiation Using Poisson Principal Component Analysis. - Prateek Tandon 002; Peter Huggins; Artur Dubrawski; Simon Labov; Karl Nelson (CoRR, 2016)

Detection of radioactive sources in urban scenes using Bayesian Aggregation of data from mobile spectrometers. - Prateek Tandon 002; Peter Huggins; Robert A. MacLachlan; Artur Dubrawski; Karl Nelson; Simon Labov (Inf. Syst., 2016)

An Entity Resolution Approach to Isolate Instances of Human Trafficking Online. - Chirag Nagpal; Kyle Miller 001; Benedikt Boecking; Artur Dubrawski (NUT@EMNLP, 2017)

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 (AMIA, 2017)

Matting and Depth Recovery of Thin Structures Using a Focal Stack. - Chao Liu 064; Srinivasa G. Narasimhan; Artur W. Dubrawski (CVPR, 2017)

Semi-Supervised Prediction of Comorbid Rare Conditions Using Medical Claims Data. - Chirag Nagpal; Kyle Miller 001; Tiffany Pellathy; Marilyn Hravnak; Gilles Clermont; Michael R. Pinsky; Artur Dubrawski (ICDM Workshops, 2017)

Scaling Active Search using Linear Similarity Functions. - Sibi Venkatesan; James Kyle Miller; Jeff Schneider 001; Artur Dubrawski (IJCAI, 2017)

Learning from learning curves: discovering interpretable learning trajectories. - Lujie Chen; Artur Dubrawski (LAK, 2017)

Noise-Tolerant Interactive Learning Using Pairwise Comparisons. - Yichong Xu; Hongyang Zhang 001; Aarti Singh; Artur Dubrawski; Kyle Miller 001 (NIPS, 2017)

Beyond Assortativity: Proclivity Index for Attributed Networks (ProNe). - Reihaneh Rabbany; Dhivya Eswaran; Artur W. Dubrawski; Christos Faloutsos (PAKDD (1), 2017)

The Binomial Block Bootstrap Estimator for Evaluating Loss on Dependent Clusters. - Matt Barnes 001; Artur Dubrawski (UAI, 2017)

Learning Mixtures of Multi-Output Regression Models by Correlation Clustering for Multi-View Data. - Eric Lei; Kyle Miller 001; Artur Dubrawski (CoRR, 2017)

Learning temporal rules to forecast instability in continuously monitored patients. - Mathieu Guillame-Bert; Artur Dubrawski; Donghan Wang; Marilyn Hravnak; Gilles Clermont; Michael R. Pinsky (J. Am. Medical Informatics Assoc., 2017)

Classification of Time Sequences using Graphs of Temporal Constraints. - Mathieu Guillame-Bert; Artur Dubrawski (J. Mach. Learn. Res., 2017)

Revealing Actionable Simplicity in Data. - Nick Gisolfi; Artur Dubrawski (AAAI Spring Symposia, 2018)

Interactive Linear Regression with Pairwise Comparisons. - Yichong Xu; Sivaraman Balakrishnan; Aarti Singh; Artur Dubrawski (ACSSC, 2018)

Near-light photometric stereo using circularly placed point light sources. - Chao Liu 064; Srinivasa G. Narasimhan; Artur W. Dubrawski (ICCP, 2018)

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

Active Search of Connections for Case Building and Combating Human Trafficking. - Reihaneh Rabbany; David Bayani; Artur Dubrawski (KDD, 2018)

Accelerated apprenticeship: teaching data science problem solving skills at scale. - Lujie Chen; Artur Dubrawski (L@S, 2018)

Social-Affiliation Networks: Patterns and the SOAR Model. - Dhivya Eswaran; Reihaneh Rabbany; Artur W. Dubrawski; Christos Faloutsos (ECML/PKDD (2), 2018)

Novel Prediction Techniques Based on Clusterwise Linear Regression. - Igor Gitman; Jieshi Chen; Eric Lei; Artur Dubrawski (CoRR, 2018)

Learning under selective labels in the presence of expert consistency. - Maria De-Arteaga; Artur Dubrawski; Alexandra Chouldechova (CoRR, 2018)

Dependency Leakage: Analysis and Scalable Estimators. - Matt Barnes 001; Artur Dubrawski (CoRR, 2018)

Double Adaptive Stochastic Gradient Optimization. - Kin Gutierrez; Jin Li; Cristian Challu; Artur Dubrawski (CoRR, 2018)

Machine Learning for the Developing World. - Maria De-Arteaga; William Herlands; Daniel B. Neill; Artur Dubrawski (ACM Trans. Manag. Inf. Syst., 2018)

On the Interaction Effects Between Prediction and Clustering. - Matt Barnes 001; Artur Dubrawski (AISTATS, 2019)

Parent as a Companion for Solving Challenging Math Problems: Insights from Multi-modal Observational Data. - Lujie Chen; Eva Gjekmarkaj; Artur Dubrawski (EDM, 2019)

Prognostication of Neurological Recovery by Analyzing Structural Breaks in EEG Data. - David Bethge; Jieshi Chen; Oliver Grothe; Jonathan Elmer; Artur Dubrawski (ICDM Workshops, 2019)

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

Mutually Regressive Point Processes. - Ifigeneia Apostolopoulou; Scott W. Linderman; Kyle Miller 001; Artur Dubrawski (NeurIPS, 2019)

Nonlinear Semi-Parametric Models for Survival Analysis. - Chirag Nagpal; Rohan Sangave; Amit Chahar; Parth Shah; Artur Dubrawski; Bhiksha Raj (CoRR, 2019)

Active Learning for Graph Neural Networks via Node Feature Propagation. - Yuexin Wu; Yichong Xu; Aarti Singh; Yiming Yang; Artur Dubrawski (CoRR, 2019)

Detecting Patterns of Physiological Response to Hemodynamic Stress via Unsupervised Deep Learning. - Chufan Gao; Fabian Falck; Mononito Goswami; Anthony Wertz; Michael R. Pinsky; Artur Dubrawski (CoRR, 2019)

Pairwise Feedback for Data Programming. - Benedikt Boecking; Artur Dubrawski (CoRR, 2019)

Statistical outbreak detection by joining medical records and pathogen similarity. - James Kyle Miller; Jieshi Chen; Alexander Sundermann; Jane W. Marsh; Melissa I. Saul; Kathleen A. Shutt; Marissa Pacey; Mustapha M. Mustapha; Lee H. Harrison; Artur Dubrawski (J. Biomed. Informatics, 2019)

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 (AAAI, 2020)

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

Thresholding Bandit Problem with Both Duels and Pulls. - Yichong Xu; Xi Chen; Aarti Singh; Artur Dubrawski (AISTATS, 2020)

High Resolution Diffuse Optical Tomography using Short Range Indirect Subsurface Imaging. - Chao Liu 064; Akash K. Maity; Artur W. Dubrawski; Ashutosh Sabharwal; Srinivasa G. Narasimhan (ICCP, 2020)

Preference-based Reinforcement Learning with Finite-Time Guarantees. - Yichong Xu; Ruosong Wang; Lin F. Yang; Aarti Singh; Artur Dubrawski (NeurIPS, 2020)

Zeroth Order Non-convex optimization with Dueling-Choice Bandits. - Yichong Xu; Aparna Joshi; Aarti Singh; Artur Dubrawski (UAI, 2020)

System-Level Predictive Maintenance: Review of Research Literature and Gap Analysis. - Kyle Miller 001; Artur Dubrawski (CoRR, 2020)

Self-Reflective Variational Autoencoder. - Ifigeneia Apostolopoulou; Elan Rosenfeld; Artur Dubrawski (CoRR, 2020)

Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information. - Yichong Xu; Sivaraman Balakrishnan; Aarti Singh; Artur Dubrawski (J. Mach. Learn. Res., 2020)

Using Machine Learning to Support Transfer of Best Practices in Healthcare. - Sebastian Caldas; Jieshi Chen; Artur Dubrawski (AMIA, 2021)

Weak Supervision for Affordable Modeling of Electrocardiogram Data. - Mononito Goswami; Benedikt Boecking; Artur Dubrawski (AMIA, 2021)

Affect, Support and Personal Factors: Multimodal Causal Models of One-on-one Coaching. - Lujie Karen Chen; Joseph D. Ramsey; Artur Dubrawski (EDM, 2021)

Interactive Weak Supervision: Learning Useful Heuristics for Data Labeling. - Benedikt Boecking; Willie Neiswanger; Eric P. Xing; Artur Dubrawski (ICLR, 2021)

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

End-to-End Weak Supervision. - Salva Rühling Cachay; Benedikt Boecking; Artur Dubrawski (NeurIPS, 2021)

Deep Parametric Time-to-Event Regression with Time-Varying Covariates. - Chirag Nagpal; Vincent Jeanselme; Artur Dubrawski (SPACA, 2021)

Leveraging Expert Consistency to Improve Algorithmic Decision Support. - Maria De-Arteaga; Artur Dubrawski; Alexandra Chouldechova (CoRR, 2021)

Neural basis expansion analysis with exogenous variables: Forecasting electricity prices with NBEATSx. - Kin G. Olivares; Cristian Challu; Grzegorz Marcjasz; Rafal Weron; Artur Dubrawski (CoRR, 2021)

DMIDAS: Deep Mixed Data Sampling Regression for Long Multi-Horizon Time Series Forecasting. - Cristian Challu; Kin G. Olivares; Gus Welter; Artur Dubrawski (CoRR, 2021)

Dependency Structure Misspecification in Multi-Source Weak Supervision Models. - Salva Rühling Cachay; Benedikt Boecking; Artur Dubrawski (CoRR, 2021)

Provably Robust Model-Centric Explanations for Critical Decision-Making. - Cecilia G. Morales; Nicholas Gisolfi; Robert Edman; James Kyle Miller; Artur Dubrawski (CoRR, 2021)

Deep Survival Machines: Fully Parametric Survival Regression and Representation Learning for Censored Data With Competing Risks. - Chirag Nagpal; Xinyu Li; Artur Dubrawski (IEEE J. Biomed. Health Informatics, 2021)

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

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 (AMIA, 2022)

Deep Attentive Variational Inference. - Ifigeneia Apostolopoulou; Ian Char; Elan Rosenfeld; Artur Dubrawski (ICLR, 2022)

Counterfactual Phenotyping with Censored Time-to-Events. - Chirag Nagpal; Mononito Goswami; Keith Dufendach; Artur Dubrawski (KDD, 2022)

Classifying Unstructured Clinical Notes via Automatic Weak Supervision. - Chufan Gao; Mononito Goswami; Jieshi Chen; 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)

N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting. - Cristian Challu; Kin G. Olivares; Boris N. Oreshkin; Federico Garza; Max Mergenthaler; Artur Dubrawski (CoRR, 2022)

Doubting AI Predictions: Influence-Driven Second Opinion Recommendation. - Maria De-Arteaga; Alexandra Chouldechova; Artur Dubrawski (CoRR, 2022)

The Digital Twin Landscape at the Crossroads of Predictive Maintenance, Machine Learning and Physics Based Modeling. - Brian Kunzer; Mario Berges; Artur Dubrawski (CoRR, 2022)

HierarchicalForecast: A Reference Framework for Hierarchical Forecasting in Python. - Kin G. Olivares; Federico Garza; David Luo; Cristian Challu; Max Mergenthaler; Artur Dubrawski (CoRR, 2022)

Engaging clinicians early during the development of a graphical user display of an intelligent alerting system at the bedside. - Stephanie Helman; Martha Ann Terry; Tiffany Pellathy; Andrew Williams; Artur Dubrawski; Gilles Clermont; Michael R. Pinsky; Salah S. Al-Zaiti; Marilyn Hravnak (Int. J. Medical Informatics, 2022)

Automated Assessment of Cardiovascular Sufficiency Using Non-Invasive Physiological Data. - Xinyu Li; Michael R. Pinsky; Artur Dubrawski (Sensors, 2022)

Intelligent Clinical Decision Support. - Michael R. Pinsky; Artur Dubrawski; Gilles Clermont (Sensors, 2022)

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, 2023)

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

Reslicing Ultrasound Images for Data Augmentation and Vessel Reconstruction. - Cecilia G. Morales; Jason Yao; Tejas Rane; Robert Edman; Howie Choset; Artur Dubrawski (ICRA, 2023)

Feature Learning for Interpretable, Performant Decision Trees. - Jack H. Good; Torin Kovach; Kyle Miller 001; Artur Dubrawski (NeurIPS, 2023)

AQuA: A Benchmarking Tool for Label Quality Assessment. - Mononito Goswami; Vedant Sanil; Arjun Choudhry; Arvind Srinivasan 002; Chalisa Udompanyawit; Artur Dubrawski (NeurIPS, 2023)

Recovering Sparse and Interpretable Subgroups with Heterogeneous Treatment Effects with Censored Time-to-Event Outcomes. - Chirag Nagpal; Vedant Sanil; Artur Dubrawski (CoRR, 2023)

HINT: Hierarchical Mixture Networks For Coherent Probabilistic Forecasting. - Kin G. Olivares; David Luo; Cristian Challu; Stefania La Vattiata; Max Mergenthaler; Artur Dubrawski (CoRR, 2023)

Forecasting Response to Treatment with Deep Learning and Pharmacokinetic Priors. - Willa Potosnak; Cristian Challu; Kin G. Olivares; Artur Dubrawski (CoRR, 2023)

Motion Informed Needle Segmentation in Ultrasound Images. - Raghavv Goel; Cecilia G. Morales; Manpreet Singh; Artur Dubrawski; John M. Galeotti; Howie Choset (CoRR, 2023)

Verification of Fuzzy Decision Trees. - Jack H. Good; Nicholas Gisolfi; James Kyle Miller; Artur Dubrawski (IEEE Trans. Software Eng., 2023)

Discovery of crime event sequences with constricted spatio-temporal sequential patterns. - Piotr S. Maciag; Robert Bembenik; Artur Dubrawski (J. Big Data, 2023)

JoLT: Jointly Learned Representations of Language and Time-Series for Clinical Time-Series Interpretation (Student Abstract). - Yifu Cai; Arvind Srinivasan 002; Mononito Goswami; Arjun Choudhry; Artur Dubrawski (AAAI, 2024)

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

PICSR: Prototype-Informed Cross-Silo Router for Federated Learning (Student Abstract). - Eric Enouen; Sebastian Caldas; Mononito Goswami; 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)

Motion-aware Needle Segmentation in Ultrasound Images. - Raghavv Goel; Cecilia G. Morales; Manpreet Singh; Artur Dubrawski; Jonh Galeotti; Howie Choset (CVPR Workshops, 2024)

Exploring Loss Design Techniques For Decision Tree Robustness To Label Noise. - Lukasz Sztukiewicz; Jack Henry Good; Artur Dubrawski (Tiny Papers @ ICLR, 2024)

A Rate-Distortion View of Uncertainty Quantification. - Ifigeneia Apostolopoulou; Benjamin Eysenbach; Frank Nielsen; 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 (ICML, 2024)

Bifurcation Identification for Ultrasound-driven Robotic Cannulation. - Cecilia G. Morales; Dhruv Srikanth; Jack H. Good; Keith A. Dufendach; Artur Dubrawski (IROS, 2024)

Motion-Aware Needle Segmentation in Ultrasound Images. - Raghavv Goel; Cecilia G. Morales; Manpreet Singh; Artur Dubrawski; John M. Galeotti; Howie Choset (ISBI, 2024)

Enhanced Uncertainty Estimation in Ultrasound Image Segmentation with MSU-Net. - Rohini Banerjee; Cecilia G. Morales; Artur Dubrawski (ASMUS@MICCAI, 2024)

Signal Quality Auditing for Time-series Data. - Chufan Gao; Nicholas Gisolfi; Artur Dubrawski (CoRR, 2024)

A SAT-based approach to rigorous verification of Bayesian networks. - Ignacy Stepka; Nicholas Gisolfi; Artur Dubrawski (CoRR, 2024)

Implicit Reasoning in Deep Time Series Forecasting. - Willa Potosnak; Cristian Challu; Mononito Goswami; Michal Wilinski; Nina Zukowska; Artur Dubrawski (CoRR, 2024)

Unveiling and Manipulating Concepts in Time Series Foundation Models. - Michal Wilinski; Mononito Goswami; Nina Zukowska; Willa Potosnak; Artur Dubrawski (CoRR, 2024)

Towards Long-Context Time Series Foundation Models. - Nina Zukowska; Mononito Goswami; Michal Wilinski; Willa Potosnak; Artur Dubrawski (CoRR, 2024)

TimeSeriesExam: A time series understanding exam. - Yifu Cai; Arjun Choudhry; Mononito Goswami; Artur Dubrawski (CoRR, 2024)

Multimodal Structure Preservation Learning. - Chang Liu; Jieshi Chen; Lee H. Harrison; Artur Dubrawski (CoRR, 2024)

Constrained clustering and multiple kernel learning without pairwise constraint relaxation. - Benedikt Boecking; Vincent Jeanselme; Artur Dubrawski (Adv. Data Anal. Classif., 2024)

Bridging the utility gap between MALDI-TOF and WGS for affordable outbreak cluster detection. - Chang Liu; Jieshi Chen; Lee H. Harrison; Artur Dubrawski (CHIL, 2025)

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

Investigating Compositional Reasoning in Time Series Foundation Models. - Willa Potosnak; Cristian Challu; Mononito Goswami; Kin G. Olivares; Michal Wilinski; Nina Zukowska; Artur Dubrawski (CoRR, 2025)

TimeSeriesGym: A Scalable Benchmark for (Time Series) Machine Learning Engineering Agents. - Yifu Cai; Xinyu Li; Mononito Goswami; Michal Wilinski; Gus Welter; Artur Dubrawski (CoRR, 2025)

Automatic Cannulation of Femoral Vessels in a Porcine Shock Model. - Nico Zevallos; Cecilia G. Morales; Andrew L. Orekhov; Tejas Rane; Hernando Gomez; Francis X. Guyette; Michael R. Pinsky; John M. Galeotti; Artur Dubrawski; Howie Choset (CoRR, 2025)

Mitigating Persistent Client Dropout in Asynchronous Decentralized Federated Learning. - Ignacy Stepka; Nicholas Gisolfi; Kacper Trebacz; Artur Dubrawski (CoRR, 2025)