research
∙
12/20/2022
An Augmentation Strategy for Visually Rich Documents
Many business workflows require extracting important fields from form-li...
share
research
∙
10/28/2022
Radically Lower Data-Labeling Costs for Visually Rich Document Extraction Models
A key bottleneck in building automatic extraction models for visually ri...
research
∙
08/08/2022
Towards lifelong learning of Recurrent Neural Networks for control design
This paper proposes a method for lifelong learning of Recurrent Neural N...
research
∙
03/30/2022
An Offset-Free Nonlinear MPC scheme for systems learned by Neural NARX models
This paper deals with the design of nonlinear MPC controllers that provi...
research
∙
01/07/2022
Data-Efficient Information Extraction from Form-Like Documents
Automating information extraction from form-like documents at scale is a...
research
∙
11/26/2021
On Recurrent Neural Networks for learning-based control: recent results and ideas for future developments
This paper aims to discuss and analyze the potentialities of Recurrent N...
research
∙
05/23/2020
Active Learning for Skewed Data Sets
Consider a sequential active learning problem where, at each round, an a...
research
∙
09/22/2018
