Search Results for author: Andrew Taylor

Found 4 papers, 1 papers with code

AgentMD: Empowering Language Agents for Risk Prediction with Large-Scale Clinical Tool Learning

no code implementations20 Feb 2024 Qiao Jin, Zhizheng Wang, Yifan Yang, Qingqing Zhu, Donald Wright, Thomas Huang, W John Wilbur, Zhe He, Andrew Taylor, Qingyu Chen, Zhiyong Lu

Clinical calculators play a vital role in healthcare by offering accurate evidence-based predictions for various purposes such as prognosis.

Dcc --help: Generating Context-Aware Compiler Error Explanations with Large Language Models

1 code implementation23 Aug 2023 Andrew Taylor, Alexandra Vassar, Jake Renzella, Hammond Pearce

In the challenging field of introductory programming, high enrollments and failure rates drive us to explore tools and systems to enhance student outcomes, especially automated tools that scale to large cohorts.

Language Modelling Large Language Model

MotionInput v2.0 supporting DirectX: A modular library of open-source gesture-based machine learning and computer vision methods for interacting and controlling existing software with a webcam

no code implementations10 Aug 2021 Ashild Kummen, Guanlin Li, Ali Hassan, Teodora Ganeva, Qianying Lu, Robert Shaw, Chenuka Ratwatte, Yang Zou, Lu Han, Emil Almazov, Sheena Visram, Andrew Taylor, Neil J Sebire, Lee Stott, Yvonne Rogers, Graham Roberts, Dean Mohamedally

We also introduce a series of bespoke gesture recognition classifications as DirectInput triggers, including gestures for idle states, auto calibration, depth capture from a 2D RGB webcam stream and tracking of facial motions such as mouth motions, winking, and head direction with rotation.

Gesture Recognition

Learning for Safety-Critical Control with Control Barrier Functions

no code implementations L4DC 2020 Andrew Taylor, Andrew Singletary, Yisong Yue, Aaron Ames

Modern nonlinear control theory seeks to endow systems with properties of stability and safety, and have been deployed successfully in multiple domains.

BIG-bench Machine Learning

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