research
∙
07/19/2023
Uncertainty Quantification for Molecular Property Predictions with Graph Neural Architecture Search
Graph Neural Networks (GNNs) have emerged as a prominent class of data-d...
share
research
∙
02/10/2023
A Graph-Based Modeling Framework for Tracing Hydrological Pollutant Transport in Surface Waters
Anthropogenic pollution of hydrological systems affects diverse communit...
research
∙
12/22/2022
Scalable Primal Decomposition Schemes for Large-Scale Infrastructure Networks
The real-time operation of large-scale infrastructure networks requires ...
research
∙
10/14/2022
Convolutional Neural Networks: Basic Concepts and Applications in Manufacturing
We discuss basic concepts of convolutional neural networks (CNNs) and ou...
research
∙
10/03/2022
New Paradigms for Exploiting Parallel Experiments in Bayesian Optimization
Bayesian optimization (BO) is one of the most effective methods for clos...
research
∙
03/23/2022
Data Analysis using Riemannian Geometry and Applications to Chemical Engineering
We explore the use of tools from Riemannian geometry for the analysis of...
research
∙
02/03/2022
SAFE-OCC: A Novelty Detection Framework for Convolutional Neural Network Sensors and its Application in Process Control
We present a novelty detection framework for Convolutional Neural Networ...
research
∙
01/13/2021
Convolutional Neural Nets: Foundations, Computations, and New Applications
We review mathematical foundations of convolutional neural nets (CNNs) w...
research
∙
12/22/2020
Dynamic penalty function approach for constraints handling in reinforcement learning
Reinforcement learning (RL) is attracting attentions as an effective way...
research
∙
05/14/2020
Overlapping Schwarz Decomposition for Nonlinear Optimal Control
We present an overlapping Schwarz decomposition algorithm for solving no...
research
∙
03/16/2020
Unifying Theorems for Subspace Identification and Dynamic Mode Decomposition
This paper presents unifying results for subspace identification (SID) a...
research
∙
03/12/2020