4 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 4 cited
Learning to Taste: A Multimodal Wine Dataset
Thoranna Bender, Simon Moe Sørensen, Alireza Kashani +5
We present WineSensed, a large multimodal wine dataset for studying the relations between visual perception, language, and flavor. The dataset encompasses 897k images of wine label…
cs.LG2022★ 3 cited
Generative time series models using Neural ODE in Variational Autoencoders
M. L. Garsdal, V. Søgaard, S. M. Sørensen
In this paper, we implement Neural Ordinary Differential Equations in a Variational Autoencoder setting for generative time series modeling. An object-oriented approach to the code…