Gradient-based methods
PulseAugur coverage of Gradient-based methods — every cluster mentioning Gradient-based methods across labs, papers, and developer communities, ranked by signal.
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New JAX framework simplifies tensor network kernel machine development
Researchers have developed "tnkm," an open-source Python library built with JAX for constructing and training Tensor Network Kernel Machines (TNKM). This framework aims to create nonlinear models that are both expressiv…
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New optimization method tackles performative prediction challenges
Researchers have developed a new gradient-based optimization method designed to handle performative prediction problems, where a model's deployment influences future data distributions. This novel approach relaxes previ…
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Hugging Face survey details automated AI for traffic prediction
This survey paper from Hugging Face explores Neural Architecture Search (NAS) as a method to automate the design of deep learning models for traffic prediction. It reviews various NAS strategies, including gradient-base…
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Survey details Neural Architecture Search for traffic prediction models
A new survey paper published on arXiv explores the application of Neural Architecture Search (NAS) in traffic prediction. The paper details how NAS can automate the design of deep learning models, such as Graph Convolut…