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12/07/2022
Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve
Variational autoencoders (VAEs) are powerful tools for learning latent r...
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01/25/2022
Neuro-Symbolic Entropy Regularization
In structured prediction, the goal is to jointly predict many output var...
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05/21/2021
Probabilistic Sufficient Explanations
Understanding the behavior of learned classifiers is an important task, ...
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03/20/2021
Leveraging Unlabeled Data for Entity-Relation Extraction through Probabilistic Constraint Satisfaction
We study the problem of entity-relation extraction in the presence of sy...
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03/27/2019
5G New Radio Evolution Meets Satellite Communications: Opportunities, Challenges, and Solutions
The 3rd generation partnership project (3GPP) completed the first global...
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03/21/2019
Stochastic Optimization of Sorting Networks via Continuous Relaxations
Sorting input objects is an important step in many machine learning pipe...
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02/11/2015
