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cs.LG2025
An Attention-based Feature Memory Design for Energy-Efficient Continual Learning
Yuandou Wang, Filip Gunnarsson, Rihan Hai
Tabular data streams are increasingly prevalent in real-time decision-making across healthcare, finance, and the Internet of Things, often generated and processed on resource-const…
cs.LG2025
WaveStitch: Flexible and Fast Conditional Time Series Generation with Diffusion Models
Aditya Shankar, Lydia Y. Chen, Arie van Deursen +1
Generating temporal data under conditions is crucial for forecasting, imputation, and generative tasks. Such data often has metadata and partially observed signals that jointly inf…