Dennis L. Shung

Orcid: 0000-0001-8226-1842

According to our database1, Dennis L. Shung authored at least 29 papers between 2020 and 2026.

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Bibliography

2026
Learning over von Mises-Fisher distributions via a Wasserstein-like geometry.
Stat. Comput., April, 2026

MedSimAI: Simulation and Formative Feedback Generation to Enhance Deliberate Practice in Medical Education.
Proceedings of the LAK26: 16th International Learning Analytics and Knowledge Conference, 2026

2025
multivariateGPT: a decoder-only transformer for multivariate categorical and numeric data.
CoRR, May, 2025

LAMP: Extracting Locally Linear Decision Surfaces from LLM World Models.
CoRR, May, 2025

MedSimAI: Simulation and Formative Feedback Generation to Enhance Deliberate Practice in Medical Education.
CoRR, March, 2025

Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium.
CoRR, February, 2025

Benchmarking Generative AI for Scoring Medical Student Interviews in Objective Structured Clinical Examinations (OSCEs).
CoRR, January, 2025

Medical foundation large language models for comprehensive text analysis and beyond.
npj Digit. Medicine, 2025

Expert of Experts Verification and Alignment (EVAL) Framework for Large Language Models Safety in Gastroenterology.
npj Digit. Medicine, 2025

Usability and adoption in a randomized trial of GutGPT a GenAI tool for gastrointestinal bleeding.
npj Digit. Medicine, 2025

On the Wasserstein Median of Probability Measures.
J. Comput. Graph. Stat., 2025

What Medical Students Need from Simulation: Insights to Guide Scalable Learning Design.
Proceedings of the Twelfth ACM Conference on Learning @ Scale, 2025

Benchmarking Generative AI for Scoring Medical Student Interviews in Objective Structured Clinical Examinations (OSCEs).
Proceedings of the Artificial Intelligence in Education - 26th International Conference, 2025

2024
Optimization of hepatological clinical guidelines interpretation by large language models: a retrieval augmented generation-based framework.
npj Digit. Medicine, 2024

Trajectory Flow Matching with Applications to Clinical Time Series Modeling.
CoRR, 2024

Integrating Expert Judgment and Algorithmic Decision Making: An Indistinguishability Framework.
CoRR, 2024

Trajectory Flow Matching with Applications to Clinical Time Series Modelling.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Enhancing Collaborative Medical Outcomes through Private Synthetic Hypercube Augmentation: PriSHA.
Proceedings of the Conference on Health, 2024

Human-Algorithmic Interaction Using a Large Language Model-Augmented Artificial Intelligence Clinical Decision Support System.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

2023
Harnessing the power of synthetic data in healthcare: innovation, application, and privacy.
npj Digit. Medicine, 2023

Assessing the Usability of GutGPT: A Simulation Study of an AI Clinical Decision Support System for Gastrointestinal Bleeding Risk.
CoRR, 2023

Auditing for Human Expertise.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On the Spherical Laplace Distribution.
Proceedings of the 26th International Conference on Information Fusion, 2023

2022
<i>Rdimtools</i>: An R package for dimension reduction and intrinsic dimension estimation.
Softw. Impacts, December, 2022

Embedding Signals on Graphs with Unbalanced Diffusion Earth Mover's Distance.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Generating hard-to-obtain information from easy-to-obtain information: Applications in drug discovery and clinical inference.
Patterns, 2021

Embedding Signals on Knowledge Graphs with Unbalanced Diffusion Earth Mover's Distance.
CoRR, 2021

MURAL: An Unsupervised Random Forest-Based Embedding for Electronic Health Record Data.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Making Logic Learnable With Neural Networks.
CoRR, 2020


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