most citedSparse Function-space Representation of Neural Networks

2 citations · 3 across the 3 of their papers we have counts for

collaborators
Showing stat.MLShow all

2 papers · 1 filter

stat.ML2024

Function-space Parameterization of Neural Networks for Sequential Learning

Aidan Scannell, Riccardo Mereu, Paul Chang +3

Sequential learning paradigms pose challenges for gradient-based deep learning due to difficulties incorporating new data and retaining prior knowledge. While Gaussian processes el…

stat.ML2023★ 2 cited

Sparse Function-space Representation of Neural Networks

Aidan Scannell, Riccardo Mereu, Paul Chang +3

Deep neural networks (NNs) are known to lack uncertainty estimates and struggle to incorporate new data. We present a method that mitigates these issues by converting NNs from weig…