2 papers
cs.LG2025
Atlas-based Manifold Representations for Interpretable Riemannian Machine Learning
Ryan A. Robinett, Sophia A. Madejski, Kyle Ruark +2
Despite the popularity of the manifold hypothesis, current manifold-learning methods do not support machine learning directly on the latent -dimensional data manifold, as they p…
quant-ph2025
Toward Quantum-Enabled Biomarker Discovery: An Outlook from Q4Bio
Dhirpal Shah, Mariesa Teo, Ryan A. Robinett +12
We present a case study and forward-looking perspective on co-design for hybrid quantum-classical algorithms, centered on the goal of empirical quantum advantage (EQA), which we de…