Publications related to From trees to barcodes and back again II: Combinatorial and probabilistic aspects of a topological inverse problem

Filtered data and eigenfunction estimators for statistical inference of multiscale and interacting diffusion processes

We study the problem of learning unknown parameters of stochastic dynamical models from data. Often, these models are high dimensional and contain several scales and complex structures. One is then interested in obtaining a reduced, coarse-grained descript ...

EPFL2022

Social Learning with Disparate Hypotheses

Ali H. Sayed, Virginia Bordignon, Stefan Vlaski, Konstantinos Ntemos

In this paper we study the problem of social learning under multiple true hypotheses and self-interested agents. In this setup, each agent receives data that might be generated from a different hypothesis (or state) than the data other agents receive. In c ...

IEEE2022

Disparate temperature-dependent virus-host dynamics for SARS-CoV-2 and SARS-CoV in the human respiratory epithelium

Bart Deplancke, Bastien Mangeat, Vincent Roland Julien Gardeux, Julie Marie Russeil, Jörn Pezoldt, Elisa Cora, Daniel Alpern

Since its emergence in December 2019, Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has spread globally and become a major public health burden. Despite its close phylogenetic relationship to SARS-CoV, SARS-CoV-2 exhibits increased human-to- ...

PUBLIC LIBRARY SCIENCE2021

Multiple testing with test statistics following heavy-tailed distributions

Zhiwen Jiang

In multiple testing problems where the components come from a mixture model of noise and true effect, we seek to first test for the existence of the non-zero components, and then identify the true alternatives under a fixed significance level

\alpha

. Two ...

EPFL2021

Locally Differentially-Private Randomized Response for Discrete Distribution Learning

Michael Christoph Gastpar, Adriano Pastore

We consider a setup in which confidential i.i.d. samples X1, . . . , Xn from an unknown finite-support distribution p are passed through n copies of a discrete privatization chan- nel (a.k.a. mechanism) producing outputs Y1, . . . , Yn. The channel law gua ...

2021

Iron incorporation in synthetic precipitated calcium silicate hydrates

David Lyndon Emsley, Paul Bowen, Brennan James Walder, Jirawan Siramanont

Effect of Fe3+ on the precipitation of synthetic calcium silicate hydrates (C-S-H) under controlled conditions has been evaluated. Using extremely basic either initial calcium nitrate or sodium silicate solutions (pH > 11), incipient formation of ferrihydr ...

2021

Testing two competing hypotheses for Eurasian jays' caching for the future

Johanni Michael Brea

Previous research reported that corvids preferentially cache food in a location where no food will be available or cache more of a specific food in a location where this food will not be available. Here, we consider possible explanations for these prospect ...

NATURE RESEARCH2021

Identifying and Characterizing Trans Women in the Swiss HIV Cohort Study as an Epidemiologically Distinct Risk Group

Jacques Fellay

Background As trans women are disproportionately affected by the HIV epidemic, and are still understudied, we aimed to identify and characterize the trans women in the Swiss HIV Cohort Study (SHCS). Methods A combination of criteria from pre-existing cohor ...

OXFORD UNIV PRESS INC2021

Flow Simulation of Gas Cyclone Separator at High Reynolds Number Using theElliptic-Relaxation Hybrid LES/RANS (ER-HRL) Model

Konstantin Mikityuk

In this paper, we investigate Wall-Modeled Large Eddy Simulation (WMLES) in a stairmand high-efficiency cyclone separator at two Reynolds numbers i.e. Re = 33,045 - 280,000. We compute the gas flow using the elliptic relaxation hybrid RANS/LES (ER-HRL). Th ...

Avestia2021

A Statistical Test for Probabilistic Fairness

Daniel Kuhn, Viet Anh Nguyen, Bahar Taskesen

Algorithms are now routinely used to make consequential decisions that affect human lives. Examples include college admissions, medical interventions or law enforcement. While algorithms empower us to harness all information hidden in vast amounts of data, ...

2021

From trees to barcodes and back again II: Combinatorial and probabilistic aspects of a topological inverse problem

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Filtered data and eigenfunction estimators for statistical inference of multiscale and interacting diffusion processes

Social Learning with Disparate Hypotheses

Disparate temperature-dependent virus-host dynamics for SARS-CoV-2 and SARS-CoV in the human respiratory epithelium

Multiple testing with test statistics following heavy-tailed distributions

Locally Differentially-Private Randomized Response for Discrete Distribution Learning

Iron incorporation in synthetic precipitated calcium silicate hydrates

Testing two competing hypotheses for Eurasian jays' caching for the future

Identifying and Characterizing Trans Women in the Swiss HIV Cohort Study as an Epidemiologically Distinct Risk Group

Flow Simulation of Gas Cyclone Separator at High Reynolds Number Using theElliptic-Relaxation Hybrid LES/RANS (ER-HRL) Model

A Statistical Test for Probabilistic Fairness

Filtered data and eigenfunction estimators for statistical inference of multiscale and interacting diffusion processes

Multiple testing with test statistics following heavy-tailed distributions

Social Learning with Disparate Hypotheses

Disparate temperature-dependent virus-host dynamics for SARS-CoV-2 and SARS-CoV in the human respiratory epithelium

Testing two competing hypotheses for Eurasian jays' caching for the future

Flow Simulation of Gas Cyclone Separator at High Reynolds Number Using theElliptic-Relaxation Hybrid LES/RANS (ER-HRL) Model

A Statistical Test for Probabilistic Fairness

Iron incorporation in synthetic precipitated calcium silicate hydrates

Identifying and Characterizing Trans Women in the Swiss HIV Cohort Study as an Epidemiologically Distinct Risk Group

Locally Differentially-Private Randomized Response for Discrete Distribution Learning