Publications associées à Big data

Peer-Prediction in the Presence of Outcome Dependent Lying Incentives

Boi Faltings, Naman Goel, Aris Filos Ratsikas

We derive conditions under which a peer-consistency mechanism can be used to elicit truthful data from non-trusted rational agents when an aggregate statistic of the collected data affects the amount of their incentives to lie. Furthermore, we discuss the ...

2022

Making the collective knowledge of chemistry open and machine actionable

Berend Smit, Luc Patiny, Kevin Maik Jablonka

Large amounts of data are generated in chemistry labs-nearly all instruments record data in a digital form, yet a considerable proportion is also captured non-digitally and reported in ways non-accessible to both humans and their computational agents. Chem ...

NATURE PORTFOLIO2022

The neighborhood environment and its association with the spatio-temporal footprint of tobacco consumption and changes in smoking-related behaviors in a Swiss urban area

Stéphane Joost, Idris Guessous, David Nicolas De Ridder

This study aimed to evaluate the association of the neighborhood environment with the spatio-temporal dependence of tobacco consumption and changes in smoking-related behaviors in a Swiss urban area. Data were obtained from the CoLaus cohort (2003-2006, 20 ...

ELSEVIER SCI LTD2022

Convex Quantization Preserves Logconcavity

Pol del Aguila Pla

A logconcave likelihood is as important to proper statistical inference as a convex cost function is important to variational optimization. Quantization is often disregarded when writing likelihood models, ignoring the limitations of the physical detectors ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Reproducibility dataset for CRYOWRF validation

Varun Sharma, Michael Lehning, Franziska Gerber

This dataset contains data and scripts for "CRYOWRF - a validation and the effect of blowing snow on the Antarctic SMB" (Gerber et al., 2022).* Simulation_setup: Namelists and input information to run the simulation. Some input files need to be downloaded ...

EPFL Infoscience2022

Combining hypothesis- and data-driven neuroscience modeling in FAIR workflows

Daniel Keller

Modeling in neuroscience occurs at the intersection of different points of view and approaches. Typically, hypothesis-driven modeling brings a question into focus so that a model is constructed to investigate a specific hypothesis about how the system work ...

eLIFE SCIENCES PUBL LTD2022

Deconstructing body axis morphogenesis in zebrafish embryos using robot-assisted tissue micromanipulation

Andrew Charles Oates, Mahmut Selman Sakar, Ece Özelçi, Erik Mailand, Matthias Rüegg

Classic microsurgical techniques, such as those used in the early 1900s by Mangold and Spemann, have been instrumental in advancing our understanding of embryonic development. However, these techniques are highly specialized, leading to issues of inter-ope ...

2022

Failure and success of the spectral bias prediction for Laplace Kernel Ridge Regression: the case of low-dimensional data

Matthieu Wyart, Umberto Maria Tomasini, Antonio Sclocchi

Recently, several theories including the replica method made predictions for the generalization error of Kernel Ridge Regression. In some regimes, they predict that the method has a 'spectral bias': decomposing the true function f* on the eigenbasis of the ...

JMLR-JOURNAL MACHINE LEARNING RESEARCH2022

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Big data

Peer-Prediction in the Presence of Outcome Dependent Lying Incentives

Making the collective knowledge of chemistry open and machine actionable

The neighborhood environment and its association with the spatio-temporal footprint of tobacco consumption and changes in smoking-related behaviors in a Swiss urban area

Convex Quantization Preserves Logconcavity

Reproducibility dataset for CRYOWRF validation

Combining hypothesis- and data-driven neuroscience modeling in FAIR workflows

Game-theoretic Mechanisms for Eliciting Accurate Information

Learnable Wavelet Packet Transform for Data-Adapted Spectrograms

Deconstructing body axis morphogenesis in zebrafish embryos using robot-assisted tissue micromanipulation

Failure and success of the spectral bias prediction for Laplace Kernel Ridge Regression: the case of low-dimensional data

Graph Chatbot

Chattez avec Graph Search

Making the collective knowledge of chemistry open and machine actionable

The neighborhood environment and its association with the spatio-temporal footprint of tobacco consumption and changes in smoking-related behaviors in a Swiss urban area

Peer-Prediction in the Presence of Outcome Dependent Lying Incentives

Convex Quantization Preserves Logconcavity

Deconstructing body axis morphogenesis in zebrafish embryos using robot-assisted tissue micromanipulation

Combining hypothesis- and data-driven neuroscience modeling in FAIR workflows

Game-theoretic Mechanisms for Eliciting Accurate Information

Learnable Wavelet Packet Transform for Data-Adapted Spectrograms

Reproducibility dataset for CRYOWRF validation

Failure and success of the spectral bias prediction for Laplace Kernel Ridge Regression: the case of low-dimensional data