Publications related to Exact Algorithms for Continuous Pricing with Advanced Discrete Choice Demand Models

Related publications (15)

A Path-Based Model for Aberration Correction in Ultrasound Imaging

Jean-Philippe Thiran, Baptiste Ghislain Emmanuel Hériard-Dubreuil

Pulse-Echo Ultrasound Imaging suffers from several sources of image degradation. In clinical conditions, superficial layers made of different tissues (e.g. skin, fat or muscles) create aberrations that can severely deteriorate image quality. To correct suc ...

2025

Auto-Bidding in Real-Time Auctions via Oracle Imitation Learning

Alberto Silvio Chiappa

Online advertising has become one of the most successful business models of the internet era. Impression opportunities are typically allocated through real-time auctions, where advertisers bid to secure advertisement slots. Deciding the best bid for an imp ...

ACM2025

Spatial Prior Informed Constrained Spherical Deconvolution in Super Resolution Variation

Ekin Taskin, Jean-Philippe Thiran, Gabriel Girard, Erick Jorge Canales Rodriguez, Juan Luis Villarreal Haro

Constrained Spherical Deconvolution (CSD) is a state-of-the-art technique for unraveling complex fiber configurations of white matter from diffusion MRI data. Despite its ability to identify multiple fiber orientations, it faces difficulties in resolving f ...

Springer Nature2024

Reinforcement Learning for Joint Design and Control of Battery-PV Systems

Christophe Ballif, Nicolas Würsch, Laure-Emmanuelle Perret Aebi, Marine Dominique Cauz

The decentralisation and unpredictability of new renewable energy sources require rethinking our energy system. Data-driven approaches, such as reinforcement learning (RL), have emerged as new control strategies for operating these systems, but they have n ...

2023

Hybridisation Scenarios of Solid Oxide Fuel Cells, Batteries, and Internal Combustion Engines for Waterborne Transportation

François Maréchal, Daniel Alexander Florez Orrego, Eduardo Antonio Pina

The shipping industry was responsible for about 3% of global greenhouse gas (GHG) emissions in 2018. In this context, the International Maritime Organisation (IMO) has established stringent targets to reduce GHG emissions by at least 50% by 2050 compared t ...

Universidad de Las Palmas de Gran Canaria2023

Design and Optimization of Membrane System for Gas Separation

François Maréchal, Shivom Sharma

Membrane separation may substitute conventional energy intensive technologies, and it could have cost benefits and lower environmental footprints. Several membrane processes have been developed to achieve higher purity and recovery of products. This study ...

Elsevier2022

Umbrella Meshes: Elastic Mechanisms for Freeform Shape Deployment

Mark Pauly, Florin Isvoranu, Tian Chen, Yingying Ren, Uday Kusupati, Davide Pellis

We present a computational inverse design framework for a new class of volumetric deployable structures that have compact rest states and deploy into bending-active 3D target surfaces. Umbrella meshes consist of elastic beams, rigid plates, and hinge joint ...

Association for Computing Machinery (ACM)2022

A Constant-factor Approximation Algorithm for the Asymmetric Traveling Salesman Problem

Ola Nils Anders Svensson, Jakub Tarnawski

We give a constant-factor approximation algorithm for the asymmetric traveling salesman problem (ATSP). Our approximation guarantee is analyzed with respect to the standard LP relaxation, and thus our result confirms the conjectured constant integrality ga ...

ASSOC COMPUTING MACHINERY2020

Techno–economic design of hybrid electric vehicles and possibilities of the multi-objective optimization structure

François Maréchal, Zlatina Kirilova Dimitrova

The design criteria for modern sustainable development of vehicle powertrain are the high energy efficiency of the conversion system, the competitive cost and the lowest possible environmental impacts. In this article a multi-objective optimization methodo ...

2016

Sparse representation of signals: from astrophysics to real-time data analysis for fusion plasmas and system optimization analysis for ITER and TCV

Ambrogio Fasoli, Jonathan Bryan Lister, Duccio Testa, Patrick Blanchard, Theodoros Panis, Mattia Albergante

Efficient, real-time and automated data analysis is one of the key elements for achieving scientific success in complex engineering and physical systems, of which two examples are the JET and ITER tokamaks. One problem which is common to these fields is th ...

2016

Reconciling Utility with Privacy in Genomics

Jean-Pierre Hubaux, Erman Ayday, Mathias Jacques Jean-Marc Humbert

Direct-to-consumer genetic testing makes it possible for everyone to learn their genome sequences. In order to contribute to medical research, a growing number of people publish their genomic data on the Web, sometimes under their real identities. However, ...

2014

Enhancing statistical performance of data-driven controller tuning via L2-regularization

Alireza Karimi

Noniterative data-driven techniques are design methods that allow optimal feedback control laws to be derived from input-output (I/O) data only, without the need of a model of the process. A drawback of these methods is that, in their standard formulation, ...

Pergamon-Elsevier Science Ltd2014

Quantitative analysis and mathematical modeling of polarity establishment in C. elegans embryos

Simon Blanchoud

EPFL2013

On the Role of Constraints in Optimization under Uncertainty

Saurabh Anand Deshpande

This thesis addresses the problem of industrial real-time process optimization that suffers from the presence of uncertainty. Since a process model is typically used to compute the optimal operating conditions, both plant-model mismatch and process disturb ...

EPFL2012

Vectors in a box

Doemoetoer Palvoelgyi

For an integer d a parts per thousand yen 1, let tau(d) be the smallest integer with the following property: if v (1), v (2), . . . , v (t) is a sequence of t a parts per thousand yen 2 vectors in [-1, 1] (d) with , then there is a set of indices, 2 a part ...

Springer2012