4 papers
From Score to Sound: An End-to-End MIDI-to-Motion Pipeline for Robotic Cello Performance
Samantha Sudhoff, Pranesh Velmurugan, Jiashu Liu +3
Robot musicians require precise control to obtain proper note accuracy, sound quality, and musical expression. Performance of string instruments, such as violin and cello, presents…
Separate the Wheat from the Chaff: Winnowing Down Divergent Views in Retrieval Augmented Generation
Song Wang, Zihan Chen, Peng Wang +5
Retrieval-augmented generation (RAG) enhances large language models (LLMs) by integrating external knowledge sources to address their limitations in accessing up-to-date or special…
Feature Selection Facilitates Learning Mixtures of Discrete Product Distributions
Vincent Zhao, Steven W. Zucker
Feature selection can facilitate the learning of mixtures of discrete random variables as they arise, e.g. in crowdsourcing tasks. Intuitively, not all workers are equally reliable…
Stagewise Learning for Sparse Clustering of Discretely-Valued Data
Vincent Zhao, Steven W. Zucker
The performance of EM in learning mixtures of product distributions often depends on the initialization. This can be problematic in crowdsourcing and other applications, e.g. when…