Instead of using RoPE’s low-dimensional limited rotations or ALiBi’s 1D linear bias, FEG builds position encoding on a higher-dimensional geometric structure. The idea is simple at a high level: Treat ...

Abstract: To address the sum-rate degradation caused by channel aging, accurate prediction of future channels based on pilot signals is critical. Existing model-based ...

Abstract: Transformer architecture has enabled recent progress in speech enhancement. Since Transformers are position-agostic, positional encoding is the de facto standard component used to enable ...

The 2025 fantasy football season is quickly approaching, and with it comes not only our draft kit full of everything you need, but also updated rankings. Below you will find rankings for non-, half- ...

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The attention mechanism is a core primitive in modern large language models (LLMs) and AI more broadly. Since attention by itself is permutation-invariant, position encoding is essential for modeling ...

ABSTRACT: In recent years, with the frequent occurrence of global forest fires, fire prevention and control technology has become crucial. The advancement of artificial intelligence technology has ...

I’ve been reviewing the current implementation and had a question regarding using positional encoding. Specifically: Is it possible that positional encoding has no effect in the current implementation ...

Spiking neural networks (SNNs) are bio-inspired networks that mimic how neurons in the brain communicate through discrete spikes, which have great potential in various tasks due to their energy ...