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The SDSC

The SDSC
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A simple dashboard facilitates the work of parliamentary services

November 30, 2023
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CLIMIS4AVAL

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April 11, 2024

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April 11, 2024

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A SIMPLE DASHBOARD FACILITATES THE WORK OF PARLIAMENTARY SERVICES

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CLIMIS4AVAL

Real-time cleansing of snow and weather data for operational avalanche
forecasting
CASE STUDIES



MONITORING PATTERNS OF VIOLENCE WITH THE ICRC

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ABOUT





THE SWISS DATA SCIENCE CENTER


Meet the TEAM

In 2017, a national Data Science initiative from the ETH Board resulted in the
creation of a unique joint venture between EPFL and ETH Zurich: the Swiss Data
Science Center.

The Center’s mission is to accelerate the use of data science and machine
learning techniques within academic disciplines of the ETH Domain, the Swiss
academic community at large, and the industrial sector.


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Biomedical Data Science
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Apr 12, 2024
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Guillaume Obozinski

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Guillaume Obozinski graduated with a PhD in Statistics from UC Berkeley in 2009.
He did his postdoc and held until 2012 a researcher position in the Willow and
Sierra teams at INRIA and Ecole Normale Supérieure in Paris. He was then
Research Faculty at Ecole des Ponts ParisTech until 2018. Guillaume has broad
interests in statistics and machine learning and worked over time on sparse
modeling, optimization for large scale learning, graphical models, relational
learning and semantic embeddings, with applications in various domains from
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March 20, 2024



EFFICIENT AND SCALABLE GRAPH GENERATION THROUGH ITERATIVE LOCAL EXPANSION


EFFICIENT AND SCALABLE GRAPH GENERATION THROUGH ITERATIVE LOCAL EXPANSION


Have you ever considered the complexity of generating large-scale, intricate
graphs akin to those that represent the vast relational structures of our world?
Our research introduces a pioneering approach to graph generation that tackles
the scalability and complexity of creating such expansive, real-world graphs.

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March 6, 2024



RAVAFCAST | AUTOMATING REGIONAL AVALANCHE DANGER PREDICTION IN SWITZERLAND


RAVAFCAST | AUTOMATING REGIONAL AVALANCHE DANGER PREDICTION IN SWITZERLAND


RAvaFcast is a data-driven model pipeline developed for automated regional
avalanche danger forecasting in Switzerland. It combines a recently proposed
classifier for avalanche danger prediction at weather stations with a spatial
interpolation model and a novel aggregation strategy to estimate the danger
levels in predefined wider warning regions, ultimately assembled as an avalanche
bulletin.

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February 6, 2024



PASSGPT | USING LANGUAGE MODELS TO ENHANCE PASSWORD SECURITY


PASSGPT | USING LANGUAGE MODELS TO ENHANCE PASSWORD SECURITY


PassGPT is a Large Language Model for password generation trained on leaked
passwords, which can outperform existing methods based on generative adversarial
networks by guessing twice as many unseen passwords.

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