GitHub

RAVE: Realtime Audio Variational autoEncoder

Official implementation of RAVE: A variational autoencoder for fast and high-quality neural audio synthesis (article link) by Antoine Caillon and Philippe Esling. If you use RAVE as a part of a music ...
IEEE

Resilient Collaborative Caching for Multi-Edge Systems With Robust Federated Deep Learning

Abstract: As a key technique for future networks, the performance of emerging multi-edge caching is often limited by inefficient collaboration among edge nodes and improper resource configuration.
IEEE

Robust Training of Vector Quantized Bottleneck Models

Abstract: In this paper we demonstrate methods for reliable and efficient training of discrete representation using Vector-Quantized Variational Auto-Encoder models (VQ-VAEs). Discrete latent variable ...
PNAS

Joint trajectory inference for single-cell genomics using deep learning with a mixture prior

We propose an approach for joint trajectory analysis of multiple single-cell sequencing data, combining Bayesian hierarchical models with variational autoencoders. Based on a coherent statistical ...
VentureBeat

Two years after DALL-E debut, its inventor is "surprised" by impact

Since then, things have moved fast, according to OpenAI researcher, DALL-E inventor and DALL-E 2 co-inventor Aditya Ramesh. It's more than a bit of an understatement, given the dizzying pace of ...