Publications associées à Boîte d'Edgeworth

Robust Design of Herringbone Grooved Journal Bearings using Multi-Objective Optimization with Artificial Neural Networks

Jürg Alexander Schiffmann, Soheyl Massoudi

Herringbone grooved journal bearings (HGJBs) are widely used in micro-turbocompressor applications due to their high load-carrying capacity, low friction, and oil-free solution. However, the performance of these bearings is sensitive to manufacturing devia ...

2023

Robust Design of Herringbone Grooved Journal Bearings using Multi-Objective Optimization with Artificial Neural Networks

Jürg Alexander Schiffmann, Soheyl Massoudi

2023

Active learning for multi-objective optimization of processes and energy systems

François Maréchal, Julia Granacher

In superstructure optimization of processes and energy systems, the design space is defined as the combination of unit considerations, process conditions and model parameters that might be subjected to uncertainty. Most of the time, decision makers are not ...

Elsevier Science2022

Impacts of Metering-Based Dynamic Priority Schemes

Nikolaos Geroliminis, Raphael Ali Francis Lamotte

Several works published over the last two decades have shown for a stylized set-up with homogeneous users that metering-based priority (MBP) schemes may generate Pareto improving departure time adjustments similar to those induced by congestion pricing, bu ...

INFORMS2021

Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems

Maryam Kamgarpour, Andreas Krause, Ilija Bogunovic

Motivated by applications in shared mobility, we address the problem of allocating a group of agents to a set of resources to maximize a cumulative welfare objective. We model the welfare obtainable from each resource as a monotone DR-submodular function w ...

PMLR2021

High-Throughput Lossy-to-Lossless 3D Image Compression

Gilles Fourestey, Félix Schmidt

The rapid increase in medical and biomedical image acquisition rates has opened up new avenues for image analysis, but has also introduced formidable challenges. This is evident, for example, in selective plane illumination microscopy where acquisition rat ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

The Gaussian lossy Gray-Wyner network

Michael Christoph Gastpar, Erixhen Sula

We consider the problem of source coding subject to a fidelity criterion for the Gray-Wyner network that connects a single source with two receivers via a common channel and two private channels. The pareto-optimal trade-offs between the sum-rate of the pr ...

2020

Can Dynamic Priority Be Pareto Improving?

Nikolaos Geroliminis, Raphael Ali Francis Lamotte

Traditional priority schemes reduce delays for some by increasing those of others. Yet, this might not be a necessity. Several works published over the last two decades have shown for a stylized set-up with homogeneous users that dynamic priority scheme ma ...

2020

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Boîte d'Edgeworth

Robust Design of Herringbone Grooved Journal Bearings using Multi-Objective Optimization with Artificial Neural Networks

Robust Design of Herringbone Grooved Journal Bearings using Multi-Objective Optimization with Artificial Neural Networks

Active learning for multi-objective optimization of processes and energy systems

Impacts of Metering-Based Dynamic Priority Schemes

Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems

Informational frictions in financial markets

High-Throughput Lossy-to-Lossless 3D Image Compression

The Gaussian lossy Gray-Wyner network

Can Dynamic Priority Be Pareto Improving?

Folie pratique, une scénographie “zen-kawaï”

Graph Chatbot

Chattez avec Graph Search

Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems

High-Throughput Lossy-to-Lossless 3D Image Compression

Impacts of Metering-Based Dynamic Priority Schemes

Folie pratique, une scénographie “zen-kawaï”

Robust Design of Herringbone Grooved Journal Bearings using Multi-Objective Optimization with Artificial Neural Networks

Informational frictions in financial markets

The Gaussian lossy Gray-Wyner network

Robust Design of Herringbone Grooved Journal Bearings using Multi-Objective Optimization with Artificial Neural Networks

Can Dynamic Priority Be Pareto Improving?

Active learning for multi-objective optimization of processes and energy systems