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08/20/2023
Turning Waste into Wealth: Leveraging Low-Quality Samples for Enhancing Continuous Conditional Generative Adversarial Networks
Continuous Conditional Generative Adversarial Networks (CcGANs) enable g...
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07/12/2023
Embracing the chaos: analysis and diagnosis of numerical instability in variational flows
In this paper, we investigate the impact of numerical instability on the...
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05/16/2022
Ergodic variational flows
This work presents a new class of variational family – ergodic variation...
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03/11/2022
Bayesian inference via sparse Hamiltonian flows
A Bayesian coreset is a small, weighted subset of data that replaces the...
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04/13/2021
The computational asymptotics of Gaussian variational inference
Variational inference is a popular alternative to Markov chain Monte Car...
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04/07/2021
Distilling and Transferring Knowledge via cGAN-generated Samples for Image Classification and Regression
Knowledge distillation (KD) has been actively studied for image classifi...
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11/15/2020