research
∙
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...
share
research
∙
02/22/2023
Gradient Adjusting Networks for Domain Inversion
StyleGAN2 was demonstrated to be a powerful image generation engine that...
research
∙
07/28/2022
Semi-supervised Learning of Partial Differential Operators and Dynamical Flows
The evolution of dynamical systems is generically governed by nonlinear ...
research
∙
02/13/2022
Unsupervised Disentanglement with Tensor Product Representations on the Torus
The current methods for learning representations with auto-encoders almo...
research
∙
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 ...
research
∙
07/14/2020
Shuffling Recurrent Neural Networks
We propose a novel recurrent neural network model, where the hidden stat...
research
∙
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...
research
∙
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...
research
∙
03/25/2018
