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Found 4 papers, 1 papers with code
Training Discrete Energy-Based Models with Energy Discrepancy
Training energy-based models (EBMs) on discrete spaces is challenging because sampling over such spaces can be difficult.
Energy Discrepancies: A Score-Independent Loss for Energy-Based Models
Energy-based models are a simple yet powerful class of probabilistic models, but their widespread adoption has been limited by the computational burden of training them.
Acoustic Leak Detection in Water Networks
In this work, we present a general procedure for acoustic leak detection in water networks that satisfies multiple real-world constraints such as energy efficiency and ease of deployment.
Emosaic: Visualizing Affective Content of Text at Varying Granularity
This approach of mapping emotion to color is aimed at helping readers to more easily grasp the emotional tone of the text.
