Author

Yik-Chung Wu

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#machine learning Preprint May 2025

Large-Scale Bayesian Tensor Reconstruction via Approximate Message Passing

CP generalized approximate message passing (CP-GAMP) is developed for incomplete noisy Bayesian CPD and synthetic and image-inpainting experiments show that CP-GAMP substantially reduces runtime relative to variational Bayesian CPD while maintaining competitive reconstruction accuracy.

Bingyang Cheng, Zhongtao Chen, Yichen Jin et al. · 0 citations

Preprint Aug 2026

FluxBin: Flexible LUT-based Ultra-low-bit LLM Inference by Algorithm-Kernel Synergy

FluxBin is proposed, an algorithm-kernel co-design that synergizes post-training quantization with a highly optimized CUDA kernel and introduces Decoupled Row-Column Binary Decomposition to enhance representational capacity while maintaining hardware efficiency.

Qingyao Yang, Runming Yang, He Xiao et al. · 0 citations