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08/01/2022
VolTeMorph: Realtime, Controllable and Generalisable Animation of Volumetric Representations
The recent increase in popularity of volumetric representations for scen...
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06/11/2021
Offline Reinforcement Learning as Anti-Exploration
Offline Reinforcement Learning (RL) aims at learning an optimal control ...
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03/02/2021
Offline Reinforcement Learning with Pseudometric Learning
Offline Reinforcement Learning methods seek to learn a policy from logge...
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12/02/2019
Information bottleneck through variational glasses
Information bottleneck (IB) principle [1] has become an important elemen...
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09/13/2019
ρ-VAE: Autoregressive parametrization of the VAE encoder
We make a minimal, but very effective alteration to the VAE model. This ...
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05/14/2019
Robustification of deep net classifiers by key based diversified aggregation with pre-filtering
In this paper, we address a problem of machine learning system vulnerabi...
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05/08/2019
Reconstruction of Privacy-Sensitive Data from Protected Templates
In this paper, we address the problem of data reconstruction from privac...
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04/01/2019
Defending against adversarial attacks by randomized diversification
The vulnerability of machine learning systems to adversarial attacks que...
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09/10/2018
Classification by Re-generation: Towards Classification Based on Variational Inference
As Deep Neural Networks (DNNs) are considered the state-of-the-art in ma...
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09/05/2018
