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03/12/2023
Energy Regularized RNNs for Solving Non-Stationary Bandit Problems
We consider a Multi-Armed Bandit problem in which the rewards are non-st...
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02/22/2023
Gradient Adjusting Networks for Domain Inversion
StyleGAN2 was demonstrated to be a powerful image generation engine that...
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07/28/2022
Semi-supervised Learning of Partial Differential Operators and Dynamical Flows
The evolution of dynamical systems is generically governed by nonlinear ...
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02/13/2022
Unsupervised Disentanglement with Tensor Product Representations on the Torus
The current methods for learning representations with auto-encoders almo...
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06/01/2021
Natural Statistics of Network Activations and Implications for Knowledge Distillation
In a matter that is analog to the study of natural image statistics, we ...
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07/14/2020
Shuffling Recurrent Neural Networks
We propose a novel recurrent neural network model, where the hidden stat...
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06/24/2020
A Novel Approach for Correcting Multiple Discrete Rigid In-Plane Motions Artefacts in MRI Scans
Motion artefacts created by patient motion during an MRI scan occur freq...
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11/08/2019
Electric Analog Circuit Design with Hypernetworks and a Differential Simulator
The manual design of analog circuits is a tedious task of parameter tuni...
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03/25/2018