Publications related to A Hybrid Model-Free Data-Interpretation Approach For Damage Detection During Continuous Civil-Infrastructure Monitoring

Distributional Regression and Autoregression via Optimal Transport

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

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

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

The association of basic and challenging motor capacity with mobility performance and falls in young seniors

Kamiar Aminian, Anisoara Ionescu

Background: Understanding the association between motor capacity (MC) (what people can do in a standardized environment), mobility performance (MP) (what people actually do in real-life) and falls is important for early detection of and counteracting on fu ...

ELSEVIER IRELAND LTD2020

Online Robust Regression via SGD on the l1 loss

Nicolas Henri Bernard Flammarion, Scott William Pesme

We consider the robust linear regression problem in the online setting where we have access to the data in a streaming manner, one data point after the other. More specifically, for a true parameter , we consider the corrupted Gaussian linear model $ y=\la ...

2020

Bayesian modeling of brain function and behavior

Maya Anna Jastrzebowska

The application of Bayesian modeling techniques is increasingly common in neuroscience due to the coherent and principled way in which the paradigm deals with uncertainty. The Bayesian framework is particularly valuable in the context of complex, ill-posed ...

EPFL2020

Bayesian regression explains how human participants handle parameter uncertainty

Michael Herzog, Jean-Pascal Théodor Pfister, Maya Anna Jastrzebowska, Mattew Pachai

Author summary How do humans make prediction when the critical factor that influences the quality of the prediction is hidden? Here, we address this question by conducting a simple psychophysical experiment in which participants had to extrapolate a parabo ...

2020

Privacy-preserving semi-parallel logistic regression training with fully homomorphic encryption

Juan Ramón Troncoso-Pastoriza

Background Privacy-preserving computations on genomic data, and more generally on medical data, is a critical path technology for innovative, life-saving research to positively and equally impact the global population. It enables medical research algorithm ...

2020

Correlating Twitter Language with Community-Level Health Outcomes

Martin Jaggi, Arno Schneuwly

We study how language on social media is linked to diseases such as atherosclerotic heart disease (AHD), diabetes and various types of cancer. Our proposed model leverages state-of-the-art sentence embeddings, followed by a regression model and clustering, ...

ASSOC COMPUTATIONAL LINGUISTICS-ACL2019

A Hybrid Model-Free Data-Interpretation Approach For Damage Detection During Continuous Civil-Infrastructure Monitoring

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Distributional Regression and Autoregression via Optimal Transport

Distribution-on-distribution regression via optimal transport maps

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

Neural controlled differential equations for crop classification

The association of basic and challenging motor capacity with mobility performance and falls in young seniors

Online Robust Regression via SGD on the l1 loss

Bayesian modeling of brain function and behavior

Bayesian regression explains how human participants handle parameter uncertainty

Privacy-preserving semi-parallel logistic regression training with fully homomorphic encryption

Correlating Twitter Language with Community-Level Health Outcomes

Distribution-on-distribution regression via optimal transport maps

Distributional Regression and Autoregression via Optimal Transport

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

The association of basic and challenging motor capacity with mobility performance and falls in young seniors

Online Robust Regression via SGD on the l1 loss

Bayesian regression explains how human participants handle parameter uncertainty

Bayesian modeling of brain function and behavior

Privacy-preserving semi-parallel logistic regression training with fully homomorphic encryption

Correlating Twitter Language with Community-Level Health Outcomes