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04/25/2023
On the Generalization of Learned Structured Representations
Despite tremendous progress over the past decade, deep learning methods ...
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11/17/2022
Assessing Neural Network Robustness via Adversarial Pivotal Tuning
The ability to assess the robustness of image classifiers to a diverse s...
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10/01/2022
DCI-ES: An Extended Disentanglement Framework with Connections to Identifiability
In representation learning, a common approach is to seek representations...
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07/19/2022
Assaying Out-Of-Distribution Generalization in Transfer Learning
Since out-of-distribution generalization is a generally ill-posed proble...
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06/15/2022
Diffusion Models for Video Prediction and Infilling
To predict and anticipate future outcomes or reason about missing inform...
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04/18/2022
Inductive Biases for Object-Centric Representations of Complex Textures
Understanding which inductive biases could be useful for the unsupervise...
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03/17/2022
Image Super-Resolution With Deep Variational Autoencoders
Image super-resolution (SR) techniques are used to generate a high-resol...
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01/20/2022
Conditional Generation of Medical Time Series for Extrapolation to Underrepresented Populations
The widespread adoption of electronic health records (EHRs) and subseque...
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10/07/2021
Boxhead: A Dataset for Learning Hierarchical Representations
Disentanglement is hypothesized to be beneficial towards a number of dow...
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07/12/2021
Representation Learning for Out-Of-Distribution Generalization in Reinforcement Learning
Learning data representations that are useful for various downstream tas...
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07/01/2021
Generalization and Robustness Implications in Object-Centric Learning
The idea behind object-centric representation learning is that natural s...
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12/16/2020
Planning From Pixels in Atari With Learned Symbolic Representations
Width-based planning methods have been shown to yield state-of-the-art p...
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10/27/2020
On the Transfer of Disentangled Representations in Realistic Settings
Learning meaningful representations that disentangle the underlying stru...
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08/05/2020
Optimal Variance Control of the Score Function Gradient Estimator for Importance Weighted Bounds
This paper introduces novel results for the score function gradient esti...
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10/10/2019
Semi-Supervised Variational Autoencoder for Survival Prediction
In this paper we propose a semi-supervised variational autoencoder for c...
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09/25/2019