AI RESEARCH
Continuous Temporal Representations of Event-Based Signals via Interference-Based Wave Modeling
arXiv CS.LG
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ArXi:2605.01270v1 Announce Type: new Spatio-temporal signals arising from event-driven biological processes, such as surface electromyography (sEMG), exhibit asynchronous and highly structured activation patterns that are challenging to model using conventional discrete or purely real-valued representations. In this work, we propose a continuous temporal modeling framework based on interference-based wave representations.