2 papers
cs.LG2026
Exploring the Performance of ML/DL Architectures on the MNIST-1D Dataset
Michael Beebe, GodsGift Uzor, Manasa Chepuri +2
Small datasets like MNIST have historically been instrumental in advancing machine learning research by providing a controlled environment for rapid experimentation and model evalu…
physics.ed-ph2025
From Research to Resources: Assessing Student Understanding and Skills in Quantum Computing
Beth Thacker, Jianlan Wang, Yuanlin Zhang +3
The revolutionary new field of Quantum Computing (QC) continues to gain attention in industry, academia, and government in both research and education. At educational institutions,…