wavelet
PulseAugur coverage of wavelet — every cluster mentioning wavelet across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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TimeLAVA framework offers learning-agnostic data valuation for time series
Researchers have introduced TimeLAVA, a new learning-agnostic framework designed to value temporal segments within time series data. This method addresses limitations of existing approaches by capturing temporal depende…
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New framework unifies representation costs for deep neural networks
A new research paper introduces a unified framework for analyzing the representation costs of parametric data-fitting methods. This framework reveals the induced function spaces for various models, including kernel meth…
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Neural networks learn adaptive orthonormal bases for function spaces
Researchers have developed a novel method using neural networks to learn and optimize orthonormal bases for function spaces. This approach allows bases to adapt to specific datasets or problems, unlike fixed bases like …
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New DPP kernels improve ML minibatches with wavelets
Researchers have developed new Determinantal Point Processes (DPPs) using wavelets to improve minibatch generation for machine learning tasks. These novel DPPs offer provably better accuracy guarantees and a general met…