3 papers
cs.SD2025
Discovering "Words" in Music: Unsupervised Learning of Compositional Sparse Code for Symbolic Music
Tianle Wang, Sirui Zhang, Xinyi Tong +12
This paper presents an unsupervised machine learning algorithm that identifies recurring patterns -- referred to as ``music-words'' -- from symbolic music data. These patterns are…
cs.SD2024
MusicAOG: an Energy-Based Model for Learning and Sampling a Hierarchical Representation of Symbolic Music
Yikai Qian, Tianle Wang, Xinyi Tong +6
In addressing the challenge of interpretability and generalizability of artificial music intelligence, this paper introduces a novel symbolic representation that amalgamates both e…
cs.NE2023
InfLoR-SNN: Reducing Information Loss for Spiking Neural Networks
Yufei Guo, Yuanpei Chen, Liwen Zhang +5
The Spiking Neural Network (SNN) has attracted more and more attention recently. It adopts binary spike signals to transmit information. Benefitting from the information passing pa…