research
∙
09/03/2023
Implicit regularization of deep residual networks towards neural ODEs
Residual neural networks are state-of-the-art deep learning models. Thei...
share
research
∙
05/11/2023
Generalization bounds for neural ordinary differential equations and deep residual networks
Neural ordinary differential equations (neural ODEs) are a popular famil...
research
∙
04/19/2023
Leveraging the two timescale regime to demonstrate convergence of neural networks
We study the training dynamics of shallow neural networks, in a two-time...
research
∙
06/14/2022
Scaling ResNets in the Large-depth Regime
Deep ResNets are recognized for achieving state-of-the-art results in co...
research
∙
09/01/2021
Structured Context and High-Coverage Grammar for Conversational Question Answering over Knowledge Graphs
We tackle the problem of weakly-supervised conversational Question Answe...
research
∙
06/02/2021
Framing RNN as a kernel method: A neural ODE approach
Building on the interpretation of a recurrent neural network (RNN) as a ...
research
∙
12/18/2020
A Tool for Custom Construction of QMC and RQMC Point Sets
We present LatNet Builder, a software tool to find good parameters for l...
research
∙
10/05/2019