Derek Austin

According to our database, Derek Austin authored at least 6 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Better Rigs, Not Bigger Networks: A Body Model Ablation for Gaussian Avatars.

Derek Austin

CoRR, April, 2026

2024

GRAD-SUM: Leveraging Gradient Summarization for Optimal Prompt Engineering.

Derek Austin, Elliott Chartock

CoRR, 2024

2023

Evaluating Recommendation Systems Using the Power of Embeddings.

Jonathan Gomes-Selman, Robert Friel, Bogdan Gheorghe, Derek Austin, Atindriyo Sanyal

Proceedings of EvalRS: A Rounded Evaluation Of Recommender Systems 2023 co-located with 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2023), 2023

From Human Days to Machine Seconds: Automatically Answering and Generating Machine Learning Final Exams.

Iddo Drori, Sarah J. Zhang, Reece Shuttleworth, Sarah Zhang, Keith Tyser, Zad Chin, Pedro Lantigua, Saisamrit Surbehera, Gregory Hunter, Derek Austin, Leonard Tang, Yann Hicke, Sage Simhon, Sathwik Karnik, Darnell Granberry, Madeleine Udell

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

A Dataset and Benchmark for Automatically Answering and Generating Machine Learning Final Exams.

Sarah J. Zhang, Reece Shuttleworth, Derek Austin, Yann Hicke, Leonard Tang, Sathwik Karnik, Darnell Granberry, Iddo Drori

CoRR, 2022

Solving Probability and Statistics Problems by Probabilistic Program Synthesis at Human Level and Predicting Solvability.

Leonard Tang, Elizabeth Ke, Nikhil Singh, Bo Feng, Derek Austin, Nakul Verma, Iddo Drori

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners' and Doctoral Consortium, 2022