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07/20/2023
The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning
The mechanisms behind the success of multi-view self-supervised learning...
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06/29/2022
LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood
Most of the existing methods for estimating the local intrinsic dimensio...
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01/30/2022
COIN++: Data Agnostic Neural Compression
Neural compression algorithms are typically based on autoencoders that r...
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06/09/2021
Expectation Programming
Building on ideas from probabilistic programming, we introduce the conce...
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03/03/2021
COIN: COmpression with Implicit Neural representations
We propose a new simple approach for image compression: instead of stori...
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04/09/2020
Feedback Recurrent Autoencoder for Video Compression
Recent advances in deep generative modeling have enabled efficient model...
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07/18/2019
Amortized Monte Carlo Integration
Current approaches to amortizing Bayesian inference focus solely on appr...
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12/01/2017
