Publications related to A new approach to synthesize heterogeneous agents and their associations for urban microsimulations

Extensions of Peer Prediction Incentive Mechanisms

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

Valence can control the nonexponential viscoelastic relaxation of multivalent reversible gels

Hugo Camille Valentin Le Roy

Gels made of telechelic polymers connected by reversible cross-linkers are a versatile design platform for biocompatible viscoelastic materials. Their linear response to a step strain displays a fast, near-exponential relaxation when using low-valence cros ...

Amer Assoc Advancement Science2024

Removing Algorithmic Discrimination (With Minimal Individual Error)

Rachid Guerraoui, El Mahdi El Mhamdi, Alexandre David Olivier Maurer, Le Nguyen Hoang

We address for the first time the problem of correcting group discriminations within a score function, while minimizing the individual error. Each group is described by a probability density function on the set of profiles. We first solve the problem analy ...

2022

Removing algorithmic discrimination (with minimal individual error)

Rachid Guerraoui, El Mahdi El Mhamdi, Alexandre David Olivier Maurer, Le Nguyen Hoang

We address for the first time the problem of correcting group discriminations within a score function, while minimizing the individual error. Each group is described by a probability density function on the set of profiles. We first solve the problem analy ...

ELSEVIER2022

Assessment of the Bus Transit Network: A Perspective from the Daily Activity-Travel Organization of Travelers

Marc-Edouard Baptiste Grégoire Schultheiss

In a context where daily car use is a spontaneous and habitual choice for a wide majority of the population, the quality of the alternatives to individual motorized vehicles is a major factor in encouraging modal shift. The ease of access to public transpo ...

MDPI2022

Linguistic traits as heritable units? Spatial Bayesian clustering reveals Swiss German dialect regions

Stéphane Joost, Noemi Romano

In the early 2000s, the SADS, an extensive linguistic atlas project, surveyed more than three thousand individuals across German-speaking Switzerland on over two hundred linguistic variants, capturing the morphosyntactic variation in Swiss German. In this ...

2022

Learning from demonstration using products of experts: Applications to manipulation and task prioritization

Sylvain Calinon, Emmanuel Pignat

Probability distributions are key components of many learning from demonstration (LfD) approaches, with the spaces chosen to represent tasks playing a central role. Although the robot configuration is defined by its joint angles, end-effector poses are oft ...

SAGE PUBLICATIONS LTD2021

Investigating Crosstalk Among PTMs Provides Novel Insight Into the Structural Basis Underlying the Differential Effects of Nt17 PTMs on Mutant Httex1 Aggregation

Hilal Lashuel, Matteo Dal Peraro, Luciano Andres Abriata, Lucien Fabrice Krapp, Anass Chiki, Iman Rostami, Driss Boudeffa, Zhidian Zhang

Post-translational modifications (PTMs) within the first 17 amino acids (Nt17) of the Huntingtin protein (Htt) have been shown to inhibit the aggregation and attenuate the toxicity of mutant Htt proteins in vitro and in various models of Huntington’s disea ...

2021

Sublinear Bounds on the Distinguishing Advantage for Multiple Samples

Serge Vaudenay

The maximal achievable advantage of a (computationally unbounded) distinguisher to determine whether a source

Z

is distributed according to distribution

P_0

or

P_1

, when given access to one sample of

Z

, is characterized by the statistical distance ...

Springer, Cham2020

From Data to Decisions: Distributionally Robust Optimization is Optimal

Daniel Kuhn, Peyman Mohajerin Esfahani

We study stochastic programs where the decision-maker cannot observe the distribution of the exogenous uncertainties but has access to a finite set of independent samples from this distribution. In this setting, the goal is to find a procedure that transfo ...

2020

A new approach to synthesize heterogeneous agents and their associations for urban microsimulations

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Extensions of Peer Prediction Incentive Mechanisms

Valence can control the nonexponential viscoelastic relaxation of multivalent reversible gels

Removing Algorithmic Discrimination (With Minimal Individual Error)

Removing algorithmic discrimination (with minimal individual error)

Assessment of the Bus Transit Network: A Perspective from the Daily Activity-Travel Organization of Travelers

Linguistic traits as heritable units? Spatial Bayesian clustering reveals Swiss German dialect regions

Learning from demonstration using products of experts: Applications to manipulation and task prioritization

Investigating Crosstalk Among PTMs Provides Novel Insight Into the Structural Basis Underlying the Differential Effects of Nt17 PTMs on Mutant Httex1 Aggregation

Sublinear Bounds on the Distinguishing Advantage for Multiple Samples

From Data to Decisions: Distributionally Robust Optimization is Optimal

Extensions of Peer Prediction Incentive Mechanisms

Sublinear Bounds on the Distinguishing Advantage for Multiple Samples

Assessment of the Bus Transit Network: A Perspective from the Daily Activity-Travel Organization of Travelers

Investigating Crosstalk Among PTMs Provides Novel Insight Into the Structural Basis Underlying the Differential Effects of Nt17 PTMs on Mutant Httex1 Aggregation

Valence can control the nonexponential viscoelastic relaxation of multivalent reversible gels

Removing Algorithmic Discrimination (With Minimal Individual Error)

Removing algorithmic discrimination (with minimal individual error)

Linguistic traits as heritable units? Spatial Bayesian clustering reveals Swiss German dialect regions

Learning from demonstration using products of experts: Applications to manipulation and task prioritization

From Data to Decisions: Distributionally Robust Optimization is Optimal