research
∙
05/03/2023
Normalizing flows for lattice gauge theory in arbitrary space-time dimension
Applications of normalizing flows to the sampling of field configuration...
share
research
∙
11/14/2022
Aspects of scaling and scalability for flow-based sampling of lattice QCD
Recent applications of machine-learned normalizing flows to sampling in ...
research
∙
05/12/2022
A Generalist Agent
Inspired by progress in large-scale language modeling, we apply a simila...
research
∙
06/08/2021
Vector Quantized Models for Planning
Recent developments in the field of model-based RL have proven successfu...
research
∙
03/02/2021
Predicting Video with VQVAE
In recent years, the task of video prediction-forecasting future video g...
research
∙
07/07/2020
Do Transformers Need Deep Long-Range Memory
Deep attention models have advanced the modelling of sequential data acr...
research
∙
06/02/2019
Generating Diverse High-Fidelity Images with VQ-VAE-2
We explore the use of Vector Quantized Variational AutoEncoder (VQ-VAE) ...
research
∙
05/22/2019
Data-Efficient Image Recognition with Contrastive Predictive Coding
Large scale deep learning excels when labeled images are abundant, yet d...
research
∙
01/10/2019
Preventing Posterior Collapse with delta-VAEs
Due to the phenomenon of "posterior collapse," current latent variable g...
research
∙
05/24/2018
Hyperbolic Attention Networks
We introduce hyperbolic attention networks to endow neural networks with...
research
∙
11/27/2017