Abstract: Artificial intelligence (AI) provides an alternative way to design channel coding with affordable complexity. However, most existing studies can only learn codes for a given size and rate, ...
Implementation of "Breaking the Low-Rank Dilemma of Linear Attention" The Softmax attention mechanism in Transformer models is notoriously computationally expensive, particularly due to its quadratic ...
Based is an efficient architecture inspired by recovering attention-like capabilities (i.e., recall). We do so by combining 2 simple ideas: Short sliding window attention (e.g., window size 64), to ...
Copyright 2025 The Associated Press. All Rights Reserved. Copyright 2025 The Associated Press. All Rights Reserved. Sam Altman, co-founder and CEO of OpenAI ...
Abstract: Pseudocodewords, and in particular minimal pseudocodewords, play an important role in understanding the performance of linear programming (LP) decoding. In this paper, we investigate minimal ...
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