Publications related to Model-Free Methodologies for Data-Interpretation during Continuous Monitoring of Structures

Sensing the structural behavior: A perspective on the usefulness of monitoring information for bridge examination

Eugen Brühwiler, Numa Joy Bertola, Yves Sylvain Gilles Reuland

Managing existing civil infrastructure is challenging due to evolving functional requirements, material aging, and climate change. With increasingly limited economic, environmental, and material resources, more sustainable solutions for practical asset man ...

2023

Selection of informative monitoring techniques for bridge-performance evaluations

Eugen Brühwiler, Numa Joy Bertola

Decisions regarding the management of civil infrastructure are becoming more crucial as a large share of bridges is presently approaching what is often considered to be the end of their theoretical service duration. Evaluating existing structures using a d ...

Trinity College2023

Distributional Regression and Autoregression via Optimal Transport

Laya Ghodrati

We present a framework for performing regression when both covariate and response are probability distributions on a compact and convex subset of

\R^d

. Our regression model is based on the theory of optimal transport and links the conditional Fr'echet m ...

EPFL2023

Distribution-on-distribution regression via optimal transport maps

Victor Panaretos, Laya Ghodrati

We present a framework for performing regression when both covariate and response are probability distributions on a compact interval. Our regression model is based on the theory of optimal transportation, and links the conditional Frechet mean of the resp ...

OXFORD UNIV PRESS2022

Physics-Inspired Structural Representations for Molecules and Materials

Michele Ceriotti, Félix Benedito Clément Musil, Andrea Grisafi

The first step in the construction of a regression model or a data-driven analysis, aiming to predict or elucidate the relationship between the atomic-scale structure of matter and its properties, involves transforming the Cartesian coordinates of the atom ...

AMER CHEMICAL SOC2021

Neural controlled differential equations for crop classification

Accurate and scalable crop classification is important for food security and sustainable resources management. The temporal development of crops, i.e., their phenology, is a continuous phenomena that if properly captured, can help to discern them. The nove ...

2021

Linear regression analysis of regional mean speed of Athens city network using drone data: A multi-modal approach

Nikolaos Geroliminis, Emmanouil Barmpounakis

The work proposes a multi-modal regional mean speed regression analysis for the city network of Athens, Greece. The dataset from pNUEMA experiment is used in the present context. Accumulations and mean speeds of different modes are estimated and compared t ...

2021

Gaussian Process Regression for Materials and Molecules

Michele Ceriotti, David Mark Wilkins

We provide an introduction to Gaussian process regression (GPR) machinelearning methods in computational materials science and chemistry. The focus of the present review is on the regression of atomistic properties: in particular, on the construction of in ...

AMER CHEMICAL SOC2021

Structure-property maps with Kernel principal covariates regression

Michele Ceriotti, Guillaume André Jean Fraux, Benjamin Aaron Helfrecht

Data analyses based on linear methods constitute the simplest, most robust, and transparent approaches to the automatic processing of large amounts of data for building supervised or unsupervised machine learning models. Principal covariates regression (PC ...

2020

Design and Control of Minimum Energy Adaptive Structures

Gennaro Senatore

The construction industry is the largest consumer of raw materials and most of the environmental impacts of structures are embodied into load-bearing systems [1]. Civil structures are usually designed to meet strength and deformation requirements to withst ...

2019

Model-Free Methodologies for Data-Interpretation during Continuous Monitoring of Structures

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Sensing the structural behavior: A perspective on the usefulness of monitoring information for bridge examination

Selection of informative monitoring techniques for bridge-performance evaluations

Distributional Regression and Autoregression via Optimal Transport

Distribution-on-distribution regression via optimal transport maps

Physics-Inspired Structural Representations for Molecules and Materials

Neural controlled differential equations for crop classification

Linear regression analysis of regional mean speed of Athens city network using drone data: A multi-modal approach

Gaussian Process Regression for Materials and Molecules

Structure-property maps with Kernel principal covariates regression

Design and Control of Minimum Energy Adaptive Structures

Sensing the structural behavior: A perspective on the usefulness of monitoring information for bridge examination

Selection of informative monitoring techniques for bridge-performance evaluations

Gaussian Process Regression for Materials and Molecules

Distribution-on-distribution regression via optimal transport maps

Neural controlled differential equations for crop classification

Design and Control of Minimum Energy Adaptive Structures

Distributional Regression and Autoregression via Optimal Transport

Physics-Inspired Structural Representations for Molecules and Materials

Linear regression analysis of regional mean speed of Athens city network using drone data: A multi-modal approach

Structure-property maps with Kernel principal covariates regression