This led to successful applications of Neural ODEs in machine learning.

Empirically, S-TEC restructures meaningfully the within-and between-class representations.

We proceed by first considering translation invariances in a linear model with a single data point in detail. We show that, while the true posterior can be constructed from a mean-field parametrisation, this is achieved only if the objective function takes into account the invariance gap.

Recent advances inface forgery techniques produce nearly visually untraceable deepfake videos, which could be leveraged with malicious intentions. As a result, researchers havebeen devoted todeepfakedetection.

Given taxi-ride counts information between departure and destination locations, how can we forecast their future demands?

We address these flaws through a study of alternative self-supervised feature extractors, find that the semantic information encoded by individual networks strongly depends on their training procedure, and show that DINOv2-ViT -L/14 allows for much richer evaluation of generative models.