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06/07/2023
Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities
Unsupervised video-based object-centric learning is a promising avenue t...
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09/29/2022
Bridging the Gap to Real-World Object-Centric Learning
Humans naturally decompose their environment into entities at the approp...
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03/17/2022
On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks
Capturing aleatoric uncertainty is a critical part of many machine learn...
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06/07/2021
Causal Influence Detection for Improving Efficiency in Reinforcement Learning
Many reinforcement learning (RL) environments consist of independent ent...
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11/29/2020
Self-supervised Visual Reinforcement Learning with Object-centric Representations
Autonomous agents need large repertoires of skills to act reasonably on ...
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02/27/2020
NeurIPS 2019 Disentanglement Challenge: Improved Disentanglement through Learned Aggregation of Convolutional Feature Maps
This report to our stage 2 submission to the NeurIPS 2019 disentanglemen...
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02/23/2020
NeurIPS 2019 Disentanglement Challenge: Improved Disentanglement through Aggregated Convolutional Feature Maps
This report to our stage 1 submission to the NeurIPS 2019 disentanglemen...
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06/28/2018
