Brain-age prediction from resting-state fMRI provides a quantitative framework for characterizing age-related changes in spontaneous brain dynamics and for identifying functional signatures. Existing studies have linked fractal and multifractal scaling to age and examined the reliability of individual features. However...
Yu Chang, An-Zhe Cheng, Jia-Hao Chen et al.· 0 citations
Long-form song generation models continue to improve in duration, structural integrity, and acoustic complexity, making reliable aesthetic rewards increasingly important for aligning these models with human preferences. However, reward models for complete songs remain limited, and existing evaluators typically predict...
Jiabao Zhuang, Changhao Jiang, Hanchen Wang et al.· 0 citations
TIER-MoE is introduced, a risk-guided subspace mixture-of-experts model that defines sample-specific modality reliability as the prediction loss its unimodal predictor is expected to incur, and demonstrates its superiority over state-of-the-art methods in predictive performance and probability calibration.
Dynamo-MoE, an out-of-box MoE inference framework to bridge the performance gap by dynamic parallelization strategies, integrates a novel load balancing approach based on token sorting and on-demand expert loading to solve the workload imbalance issue in the scenario of high workload.
Jiahao Chen, Shigang Li, Rongtian Fu et al.· IEEE International Symposium...· 0 citations
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