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softmax-attention

topic2 events
papersTODAY 04:00 UTC

Coresets for Softmax Attention: Improved Bounds and Efficient Constructions

A new arXiv paper studies query-oblivious coresets for softmax attention heads, defined as subsets of key-value pairs that approximate the full attention output within an error bound for every query in a ball. The authors build on earlier work by Liberty, Andoni and Kleiner on unweighted coresets to derive tighter bounds and faster construction methods. The goal is to reduce the compute and memory needed when evaluating attention over long key-value sets.

attention/efficiency/coresets/research
papersSEP 11 04:00 UTC

arXiv Paper Proposes Synchronization-Based Attention for Low-Energy Hardware

A new arXiv preprint explores replacing standard softmax attention with a mechanism based on synchronization in networks of coupled oscillators. The authors argue that exponentiation and global reduction are costly on conventional von Neumann hardware and lack a direct physical counterpart, unlike coupled-oscillator dynamics such as Kuramoto models. The work targets transformer-style attention on energy-constrained physical substrates.

research/neuromorphic/energy-efficiency/transformers