Publications associées à Towards Generalizable Trajectory Prediction using Dual-Level Representation Learning and Adaptive Prompting

Publications associées (22)

Geometric compression of invariant manifolds in neural networks

Matthieu Wyart, Mario Geiger, Leonardo Petrini, Jonas Paccolat

We study how neural networks compress uninformative input space in models where data lie in d dimensions, but the labels of which only vary within a linear manifold of dimension d(parallel to) < d. We show that for a one-hidden-layer network initialized wi ...

IOP PUBLISHING LTD2021

Business Entity Matching with Siamese Graph Convolutional Networks

Mattia Atzeni

Data integration has been studied extensively for decades and approached from different angles. However, this domain still remains largely rule-driven and lacks universal automation. Recent developments in machine learning and in particular deep learning h ...

ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE2021