2 papers
cs.IT2024
An Achievable and Analytic Solution to Information Bottleneck for Gaussian Mixtures
Yi Song, Kai Wan, Zhenyu Liao +1
In this paper, we study a remote source coding scenario in which binary phase shift keying (BPSK) modulation sources are corrupted by additive white Gaussian noise (AWGN). An inter…
stat.ML2024
"Lossless" Compression of Deep Neural Networks: A High-dimensional Neural Tangent Kernel Approach
Lingyu Gu, Yongqi Du, Yuan Zhang +4
Modern deep neural networks (DNNs) are extremely powerful; however, this comes at the price of increased depth and having more parameters per layer, making their training and infer…