Search Results for author:
Found 7 papers, 3 papers with code
MuQ: Self-Supervised Music Representation Learning with Mel Residual Vector Quantization
In this paper, we propose a self-supervised music representation learning model for music understanding.
SongEditor: Adapting Zero-Shot Song Generation Language Model as a Multi-Task Editor
The emergence of novel generative modeling paradigms, particularly audio language models, has significantly advanced the field of song generation.
Distributed Invariant Unscented Kalman Filter based on Inverse Covariance Intersection with Intermittent Measurements
Unlike existing distributed UKFs confined to vector spaces, our approach extends the distributed UKF framework to Lie groups, enabling local estimates to be fused with intermediate information from neighboring agents on Lie groups.
Layerwise Recurrent Router for Mixture-of-Experts
The scaling of large language models (LLMs) has revolutionized their capabilities in various tasks, yet this growth must be matched with efficient computational strategies.
MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Series
To improve the transparency of LLMs, the research community has formed to open-source truly open LLMs (e. g., Pythia, Amber, OLMo), where more details (e. g., pre-training corpus and training code) are being provided.
Distributed Estimation for a 3-D Moving Target in Quaternion Space with Unknown Correlation
For distributed estimations in a sensor network, the consistency and accuracy of an estimator are greatly affected by the unknown correlations between individual estimates.
Distributed Differentiable Dynamic Game for Multi-robot Coordination
In the inverse problem, where each robot aims to find (learn) its objective (and dynamics) parameters to mimic given coordination demonstrations, D3G proposes a differentiation solver based on Differential Pontryagin's Maximum Principle, which allows each robot to update its parameters in a distributed and coordinated manner.
