6 papers · 1 filter
Extreme-Scale Super-Resolution of Homogeneous Turbulence from a Single Realization
Arth Sojitra, Muhammad Abid, Omer San
Homogeneous turbulent flows exhibit recurring multiscale structures across spatially separated regions, suggesting that a single flow realization may contain sufficient information…
EMG-FM-Bench: A Comprehensive Benchmark for Foundation Model Transfer and Adaptation on Electromyography
Tianhao Wu, Xu Wu, Amirmohammad Radmehr +8
Foundation models (FMs) are increasingly being developed for general time series and physiological signals, yet their transferability to downstream physiological tasks remains poor…
LiteEMG-FM: An Efficient and Deployable Foundation Model for Robust EMG Sensing
Tianhao Wu, Xu Wu, Amirmohammad Radmehr +4
Electromyography (EMG) signals vary substantially across individuals, body regions, recording sessions, and sensing hardware, limiting the generalization of models for assistive de…
SeRV: Semantic-Aligned Residual Vector Quantization for American Sign Language Generation
Hongyu Wu, Xu Wu, Tianhao Wu +4
American Sign Language (ASL) generation remains challenging due to limited paired text-ASL motion data and the difficulty of learning motion representations both precise for recons…
Auditing Training Data in Generative Music Models via Black-Box Membership Inference
Yi Chen Liu, Jiawei Yu, Kexin Cao +3
Recent advances in text-to-music generation enable high-fidelity synthesis of structured musical audio, raising growing concerns about data provenance, consent, and training transp…
H-Mem: A Novel Memory Mechanism for Evolving and Retrieving Agent Memory via a Hybrid Structure
Jiawei Yu, Yixiang Fang, Xilin Liu +1
Memory data are ubiquitous in Large Language Model (LLM)-based agents (e.g., OpenClaw and Manus). A few recent works have attempted to exploit agents'memory for improving their per…