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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.

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Posts

Future Blog Post

less than 1 minute read

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This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

publications

Leveraging LLMs for Data Coding

Published in Carnegie Mellon University, Software Engineering Institutes Digital Library, 2024

In this paper, we investigate the usefulness and design methodology of applying large language models (LLMs) to improve and automate the process of coding case data. We introduce tools to guide LLMs to assist in this coding process.

Recommended citation: D. Kutscher, A. Whisnant, "Leveraging LLMs for Data Coding," Carnegie Mellon University, Software Engineering Institutes Digital Library. Software Engineering Institute, White Paper, 04-Nov-2024
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Physics-Guided Fair Graph Sampling for Water Temperature Prediction in River Networks

Published in AAAI Conf on Artificial Intelligence, Special Track on Social Impact, 2025

This work introduces a novel graph neural networks (GNNs)-based method to predict stream water temperature and reduce model bias across locations of different income and education levels.

Recommended citation: Erhu He, Declan Kutscher, Yiqun Xie, Jacob Zwart, Zhe Jiang, Huaxiu Yao, Xiaowei Jia. (2024). "Physics-Guided Fair Graph Sampling for Water Temperature Prediction in River Networks." AAAI Conf on Artificial Intelligence, Special Track on Social Impact..
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REOrdering Patches Improves Vision Models

Published in arXiv Preprint, 2025

We proposed a reinforcement learning tehchnique utilizing the Plackett-Luce distribution to find the optimal ordering of patches for long sequence vision transformers.

Recommended citation: Declan Kutscher, David M. Chan, Yutong Bai, Trevor Darrell, Ritwik Gupta. (2025). "REOrdering Patches Improves Vision Models." arXiv Preprint.
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