Publications related to Mainstream economics

Structural topology exploration through policy-based generation of equilibrium representations

Corentin Jean Dominique Fivet, Ioannis Mirtsopoulos

Mainstream approaches to design spatial architectural forms that are structurally relevant consist either in adapting well-known and catalogued conventional types or in searching for close-to-optimum solutions of well-defined problems. Few means exist to e ...

2023

Resolving time conflicts in activity-based scheduling

Michel Bierlaire, Timothy Michael Hillel, Janody Pougala

In this paper, we present a novel activity-based scheduling model that combines a continuous optimisation framework for temporal scheduling decisions (i.e. activity timings and durations) with traditional discrete choice models for non-temporal choice dime ...

2021

Resolving time conflicts in activity-based scheduling: A case study of Lausanne

Michel Bierlaire, Timothy Michael Hillel, Janody Pougala

In this paper, we present a novel activity-based scheduling model that combines a continuous optimisation framework for temporal scheduling decisions (i.e. activity timings and durations) with traditional discrete choice models for non-temporal choice dime ...

2021

Scalable Stochastic Optimization: Scenario Reduction with Guarantees

Kilian Schindler

Stochastic optimization is a popular modeling paradigm for decision-making under uncertainty and has a wide spectrum of applications in management science, economics and engineering. However, the stochastic optimization models one faces in practice are int ...

EPFL2020

Effects of 3D Ideal MHD Equilibrium Geometry on Neoclassical Properties in Tokamaks: Exploring Bootstrap Current and Impurity Accumulation

Madhusudan Raghunathan

This thesis concentrates on investigating the presence of 3D ideal MHD instabilities, particularly a saturated 1/1 ideal internal kink, on neoclassical phenomena such as the bootstrap current and heavy impurity transport. The MHD equilibria are generated u ...

EPFL2018

Adaptation of short-term plasticity parameters via error-driven learning may explain the correlation between activity-dependent synaptic properties, connectivity motifs and target specificity

Michele Giugliano, Eleni Vasilaki

The anatomical connectivity among neurons has been experimentally found to be largely non-random across brain areas. This means that certain connectivity motifs occur at a higher frequency than would be expected by chance. Of particular interest, short-ter ...

Frontiers Research Foundation2015

'Peak Oil' As Classical Economic Process

François Meynard

Forecasts about 'peak oil', the limits of oil production, are the subject of controversies. 'Peak oil' forecasts are based on extrapolations of a priori chosen mathematical models fitted to field data. Scientifically that is not very sound. To clarify this ...

Multi-Science Publ Co Ltd2014

Resource Partitioning and the Organizational Dynamics of ‘Fringe Banking’

Fabiana Visentin

We examine the emergence and proliferation of payday lenders, fringe businesses that provide small short-term, but high-cost loans. We link the organizational dynamics of these businesses to two trends in consumer lending in the United States: the continui ...

American Sociological Association2014

Protecting Location Privacy: Optimal Strategy against Localization Attacks

Jean-Yves Le Boudec, Jean-Pierre Hubaux, Carmela González Troncoso, Reza Shokri, Georgios Theodorakopoulos

The mainstream approach to protecting the location-privacy of mobile users in location-based services (LBSs) is to alter the users' actual locations in order to reduce the location information exposed to the service provider. The location obfuscation algor ...

2012

OPPORTUNITY: Towards opportunistic activity and context recognition systems

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Daniel Roggen, Yu Fang

Opportunistic sensing allows to efficiently collect information about the physical world and the persons behaving in it. This may mainstream human context and activity recognition in wearable and pervasive computing by removing requirements for a specific ...

2009

Mainstream economics

Structural topology exploration through policy-based generation of equilibrium representations

Resolving time conflicts in activity-based scheduling

Resolving time conflicts in activity-based scheduling: A case study of Lausanne

Scalable Stochastic Optimization: Scenario Reduction with Guarantees

Effects of 3D Ideal MHD Equilibrium Geometry on Neoclassical Properties in Tokamaks: Exploring Bootstrap Current and Impurity Accumulation

Adaptation of short-term plasticity parameters via error-driven learning may explain the correlation between activity-dependent synaptic properties, connectivity motifs and target specificity

'Peak Oil' As Classical Economic Process

Resource Partitioning and the Organizational Dynamics of ‘Fringe Banking’

Protecting Location Privacy: Optimal Strategy against Localization Attacks

OPPORTUNITY: Towards opportunistic activity and context recognition systems

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Effects of 3D Ideal MHD Equilibrium Geometry on Neoclassical Properties in Tokamaks: Exploring Bootstrap Current and Impurity Accumulation

Structural topology exploration through policy-based generation of equilibrium representations

Resolving time conflicts in activity-based scheduling

Resource Partitioning and the Organizational Dynamics of ‘Fringe Banking’

'Peak Oil' As Classical Economic Process

Protecting Location Privacy: Optimal Strategy against Localization Attacks

OPPORTUNITY: Towards opportunistic activity and context recognition systems

Resolving time conflicts in activity-based scheduling: A case study of Lausanne

Scalable Stochastic Optimization: Scenario Reduction with Guarantees

Adaptation of short-term plasticity parameters via error-driven learning may explain the correlation between activity-dependent synaptic properties, connectivity motifs and target specificity