Implementation of the Gumbel-Sigmoid distribution in PyTorch.
ECHO: A lightweight, CPU-deployable sequential recommendation framework that filters noisy user interactions using Gumbel-Sigmoid masking, complete with a full-stack XAI dashboard for transparency.
TensorFlow implementation of GSX (Gumbel-Sigmoid eXplanator) for instance-wise feature selection and explainable fault prediction from IoT vibration time series (IEEE Access 2022).
ECHO: A lightweight, CPU-deployable sequential recommendation framework that filters noisy user interactions using Gumbel-Sigmoid masking, complete with a full-stack XAI dashboard for transparency.
PyTorch implementation of REACT: longitudinal active feature acquisition with Gumbel-Sigmoid relaxation for cost-aware sequential feature selection with context. ACM BCB 2026.
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