19 citations · 46 across the 26 of their papers we have counts for
30 papers
Memory AMP: Overflow Avoidance, Complexity Reduction, and Comparative Analysis
Shunqi Huang, Lei Liu, Brian M. Kurkoski
Approximate message passing (AMP)-type algorithms are widely used for signal recovery in high-dimensional noisy linear systems. Recently, a framework called memory AMP (MAMP) was i…
Binary Autoencoder for Mechanistic Interpretability of Large Language Models
Hakaze Cho, Haolin Yang, Yanshu Li +2
Existing works are dedicated to untangling atomized numerical components (features) from the hidden states of Large Language Models (LLMs). However, they typically rely on autoenco…
Construction A Lattice Design Based on the Truncated Union Bound
Jiajie Xue, Brian M. Kurkoski, Emanuele Viterbo
This paper considers dimensional construction A lattice design, using binary codes with known minimum Hamming distance and codeword multiplicity, the number of minimum wei…
Lower Bound on the Error Rate of Genie-Aided Lattice Decoding
Jiajie Xue, Brian M. Kurkoski
A genie-aided decoder for finite dimensional lattice codes is considered. The decoder may exhaustively search through all possible scaling factors . We show that t…
Finite Dimensional Lattice Codes with Self Error-Detection and Retry Decoding
Jiajie Xue, Brian M. Kurkoski
Lattice codes with optimal decoding coefficient are capacity-achieving when dimension . In communications systems, finite dimensional lattice codes are consid…
Overflow-Avoiding Memory AMP
Shunqi Huang, Lei Liu, Brian M. Kurkoski
Approximate Message Passing (AMP) type algorithms are widely used for signal recovery in high-dimensional noisy linear systems. Recently, a principle called Memory AMP (MAMP) was p…