Publications related to Imaging radial distribution functions of complex particles by relayed dynamic nuclear polarization

Spectral Estimators for High-Dimensional Matrix Inference

A key challenge across many disciplines is to extract meaningful information from data which is often obscured by noise. These datasets are typically represented as large matrices. Given the current trend of ever-increasing data volumes, with datasets grow ...

EPFL2024

Intermediate complexity atmospheric modeling in complex terrain: is it right?

Michael Lehning, Dylan Stewart Reynolds, Michael Haugeneder

Dynamic downscaling of atmospheric forcing data to the hectometer resolution has shown increases in accuracy for landsurface models, but at great computational cost. Here we present a validation of a novel intermediate complexity atmospheric model, HICAR, ...

Frontiers Media Sa2024

Is There a Special Role for Ovarian Hormones in the Pathogenesis of Lobular Carcinoma?

Cathrin Brisken, Georgios Sflomos

Lobular carcinoma represent the most common special histological subtype of breast cancer, with the majority classed as hormone receptor positive. Rates of invasive lobular carcinoma in postmenopausal women have been seen to increase globally, while other ...

Endocrine Soc2024

Search for the lepton flavour violating decays B0 -> emu and B0s -> emu with LHCb Run 2 data

Sebastian Schulte

A large variety of new physics models suggest that the rates for lepton flavour violating

b

-hadron decays may be much higher than predicted in the Standard Model, which leads to a high interest in the search for such decays. This thesis presents the sear ...

EPFL2024

Extensions of Peer Prediction Incentive Mechanisms

Adam Julian Richardson

As large, data-driven artificial intelligence models become ubiquitous, guaranteeing high data quality is imperative for constructing models. Crowdsourcing, community sensing, and data filtering have long been the standard approaches to guaranteeing or imp ...

EPFL2024

Generalization and Personalization of Machine Learning for Multimodal Mobile Sensing in Everyday Life

Lakmal Buddika Meegahapola

A range of behavioral and contextual factors, including eating and drinking behavior, mood, social context, and other daily activities, can significantly impact an individual's quality of life and overall well-being. Therefore, inferring everyday life aspe ...

EPFL2024

Discrete choice modeling in the era of big data

Nicola Marco Ortelli

The technological advancements of the past decades have allowed transforming an increasing part of our daily actions and decisions into storable data, leading to a radical change in the scale and scope of available data in relation to virtually any object ...

EPFL2024

Reliable data-driven decision-making through optimal transport

Bahar Taskesen

Decision-making permeates every aspect of human and societal development, from individuals' daily choices to the complex decisions made by communities and institutions. Central to effective decision-making is the discipline of optimization, which seeks the ...

EPFL2024

Formal Autograding in a Classroom (Experience Report)

Viktor Kuncak, Mario Bucev, Dragana Milovancevic, Samuel Chassot

We report our experience in enhancing automated grading in a functional programming course using formal verification. In our approach, we deploy a verifier for Scala programs to check equivalences between student submissions and reference solutions. Conseq ...

2024

Turbulence in the Strongly Heterogeneous Near-Surface Boundary Layer over Patchy Snow

Michael Lehning, Dylan Stewart Reynolds, Michael Haugeneder

The near-surface boundary layer above patchy snow cover in mountainous terrain is characterized by a highly complex interplay of various flows on multiple scales. In this study, we present data from a comprehensive field campaign that cover a period of 21 ...

2024

Imaging radial distribution functions of complex particles by relayed dynamic nuclear polarization

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Spectral Estimators for High-Dimensional Matrix Inference

Intermediate complexity atmospheric modeling in complex terrain: is it right?

Is There a Special Role for Ovarian Hormones in the Pathogenesis of Lobular Carcinoma?

Search for the lepton flavour violating decays B0 -> emu and B0s -> emu with LHCb Run 2 data

Extensions of Peer Prediction Incentive Mechanisms

Generalization and Personalization of Machine Learning for Multimodal Mobile Sensing in Everyday Life

Discrete choice modeling in the era of big data

Reliable data-driven decision-making through optimal transport

Formal Autograding in a Classroom (Experience Report)

Turbulence in the Strongly Heterogeneous Near-Surface Boundary Layer over Patchy Snow

Intermediate complexity atmospheric modeling in complex terrain: is it right?

Spectral Estimators for High-Dimensional Matrix Inference

Is There a Special Role for Ovarian Hormones in the Pathogenesis of Lobular Carcinoma?

Search for the lepton flavour violating decays B0 -> emu and B0s -> emu with LHCb Run 2 data

Extensions of Peer Prediction Incentive Mechanisms

Generalization and Personalization of Machine Learning for Multimodal Mobile Sensing in Everyday Life

Turbulence in the Strongly Heterogeneous Near-Surface Boundary Layer over Patchy Snow

Discrete choice modeling in the era of big data

Formal Autograding in a Classroom (Experience Report)

Reliable data-driven decision-making through optimal transport