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08/18/2022
ManiFlow: Implicitly Representing Manifolds with Normalizing Flows
Normalizing Flows (NFs) are flexible explicit generative models that hav...
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06/16/2022
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation
Adapting to a continuously evolving environment is a safety-critical cha...
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12/08/2021
Implicit Neural Representations for Image Compression
Recently Implicit Neural Representations (INRs) gained attention as a no...
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07/01/2021
On the Practicality of Deterministic Epistemic Uncertainty
A set of novel approaches for estimating epistemic uncertainty in deep n...
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06/06/2021
Go with the Flows: Mixtures of Normalizing Flows for Point Cloud Generation and Reconstruction
Recently normalizing flows (NFs) have demonstrated state-of-the-art perf...
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04/06/2021
Variational Transformer Networks for Layout Generation
Generative models able to synthesize layouts of different kinds (e.g. do...
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12/05/2020
Quantifying Aleatoric and Epistemic Uncertainty Using Density Estimation in Latent Space
The distribution of a neural network's latent representations has been s...
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08/01/2019