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Related publications (19)
Price discrimination with robust beliefs
This paper considers the problem of second-degree price discrimination when the type distribution is unknown or imperfectly specified by means of an ambiguity set. As robustness measure we use a performance index, equivalent to relative regret, which quant ...
2023Declarative Variables in Online Dating: A Mixed-Method Analysis of a Mimetic-Distinctive Mechanism
Daniel Gatica-Perez, Jessica Carolina Pidoux
Declarative variables of self-description have a long-standing tradition in matchmaking media. With the advent of online dating platforms and their brand positioning, the volume and semantics of variables vary greatly across apps. However, a variable lands ...
2021Beijing Winter Olympic Games 2022: ecological civilization as a new step for extended urbanization to enhance consumption
Florence Graezer Bideau, Thierry Marcel Theurillat
Beijing Winter Olympic Games 2022: a new step for urbanization and consumption Florence Graezer Bideau, Thierry Theurillat The 2022 Beijing Winter Games is a multiscale state project involving Central, Provincial, Municipal and Districts Governments. It ai ...
2021More from Less? Environmental Rebound Effects of City Size
Claudia Rebeca Binder Signer, João Vitor Meirelles de Miranda
Global sustainability relies on our capacity of understanding and guiding urban systems and their metabolism adequately. It has been proposed that bigger and denser cities are more resource-efficient than smaller ones because they tend to demand less infra ...
2021Proof-of-concept analytical instrument for label-free optical deconvolution of protein species in a mixture
The adoption of process analytical technologies by the biopharmaceutical industry can reduce the cost of therapeutic drugs and facilitate investigation of new bioprocesses. Control of critical process parameters to retain critical product quality attribute ...
ELSEVIER2021Running Efficiently CNNs on the Edge Thanks to Hybrid SRAM-RRAM In-Memory Computing
David Atienza Alonso, Giovanni Ansaloni, Alexandre Sébastien Julien Levisse, Marco Antonio Rios, Flavio Ponzina
The increasing size of Convolutional Neural Networks (CNNs) and the high computational workload required for inference pose major challenges for their deployment on resource-constrained edge devices. In this paper, we address them by proposing a novel In-M ...
2021Learning to Reduce Annotation Load
Modern machine learning methods and their applications in computer vision are known to crave for large amounts of training data to reach their full potential. Because training data is mostly obtained through humans who manually label samples, it induces a ...
EPFL2019Logement de masse
This research has investigated the urban policies about mass housing at the beginning of 20th century. This was a unifying and crucial issue of several modern experiences to which many European cities developed adequate answers showing a wide range of dist ...
EPFL2018An assessment of how well we account for intangibles
Estimates of intangible capital stock are of prime importance for accurate measurement of productivity growth. Aggregate intangible capital stock is usually estimated using the so-called Corrado-Hulten-Sichel (CHS) new growth accounting framework. Yet this ...
Oxford University Press2017UC and EUC Weak Bit-Commitments Using Seal-Once Tamper-Evidence
Based on tamper-evident devices, i.e., a type of distinguishable, sealed envelopes, we put forward weak bit-commitment protocols which are UC-secure. These commitments are weak in that it is legitimate that a party could cheat. Unlike in several similar li ...
2013