33 citations
3 papers
cs.CV2026
Visualizing definitional divergence in high-dimensional data by manifold alignment: Application to 3D right ventricular strain computations
Maxime Di Folco, Gabriel Bernardino, Patrick Clarysse +1
Medical imaging studies often rely on a single sample per subject, assuming it is representative of their physiological traits. However, variations in how input descriptors are def…
cs.LG2026★ 33 cited
Bayesian policy gradient and actor-critic algorithms
Mohammad Ghavamzadeh, Yaakov Engel, Michal Valko
Policy gradient methods are reinforcement learning algorithms that adapt a parameterized policy by following a performance gradient estimate. Conventional policy gradient methods u…
cs.CL2026
Survey Response Generation: Generating Closed-Ended Survey Responses In-Silico with Large Language Models
Georg Ahnert, Anna-Carolina Haensch, Barbara Plank +1
Many in-silico simulations of human survey responses with large language models (LLMs) focus on generating closed-ended survey responses, whereas LLMs are typically trained to gene…