Publications associées à Framework

A general framework to evaluate different rebalancing operations strategies in one-way car sharing systems

Michel Bierlaire, Nikola Obrenovic, Selin Ataç

Car sharing systems (CSSs) are one of the environmentally beneficial solutions in urban transportation. However, the operators still struggle to make these systems profitable. One of the main contributors in operational cost is rebalancing operations. Ther ...

Springer2023

DIABLO: A Benchmark Suite for Blockchains

Rachid Guerraoui, Gauthier Jérôme Timothée Voron, Vincent Gramoli, Andrei Lebedev

With the recent advent of blockchains, we have witnessed a plethora of blockchain proposals. These proposals range from using work to using time, storage or stake in order to select blocks to be appended to the chain. As a drawback it makes it difficult fo ...

ASSOC COMPUTING MACHINERY2023

Data-driven distributed online learning control for islanded microgrids

Alireza Karimi, Seyed Sohail Madani, Dongdong Zheng

In this paper, a new discrete-time data-driven distributed learning control strategy for frequency/voltage regulation and active/reactive power sharing of islanded microgrids is proposed. Instead of using the static droop relationship and the conventional ...

2022

Dynamic Probabilistic Pruning: A General Framework for Hardware-Constrained Pruning at Different Granularities

Alexandre Schmid, Lizeth Gonzalez Carabarin

Unstructured neural network pruning algorithms have achieved impressive compression ratios. However, the resulting-typically irregular-sparse matrices hamper efficient hardware implementations, leading to additional memory usage and complex control logic t ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022

Towards Beam-Beam Simulations for FCC-ee

Xavier Buffat, Tatiana Pieloni, Mike Seidel, Giovanni Iadarola, Péter Kicsiny

The FCC-ee (Future Circular Collider) lepton collider is currently the most favored next generation research infrastructure project at CERN, aimed at studying properties of standard model particles with the highest precision ever. The chosen parameters of ...

JACoW Publishing, Geneva, Switzerland2022

Diablo-v2: A Benchmark for Blockchain Systems

Rachid Guerraoui, Gauthier Jérôme Timothée Voron, Vincent Gramoli, Andrei Lebedev

2022

Recursive Input And State Estimation: A General Framework For Learning From Time Series With Missing Data

Robert West, Alberto Garcia Duran

Time series with missing data are signals encountered in important settings for machine learning. Some of the most successful prior approaches for modeling such time series are based on recurrent neural networks that transform the input and previous state ...

IEEE2021

Learning the Exciton Properties of Azo-dyes

Ksenia Briling, Alberto Fabrizio, Sergio Vela Llausi

The ab initio determination of electronic excited state (ES) properties is the cornerstone of theoretical photochemistry. Yet, traditional ES methods become impractical when applied to fairly large molecules, or when used on thousands of systems. Machine l ...

AMER CHEMICAL SOC2021

Vehicle sharing systems: A review and a holistic management framework

Michel Bierlaire, Nikola Obrenovic, Selin Ataç

Although different vehicle sharing systems (VSSs) use different vehicle types, the management challenges and optimization problems to be solved are similar or even the same. This observation led us to create a generalized and holistic VSS management framew ...

ELSEVIER2021

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Framework

A general framework to evaluate different rebalancing operations strategies in one-way car sharing systems

DIABLO: A Benchmark Suite for Blockchains

Data-driven distributed online learning control for islanded microgrids

Dynamic Probabilistic Pruning: A General Framework for Hardware-Constrained Pruning at Different Granularities

Towards Beam-Beam Simulations for FCC-ee

Diablo-v2: A Benchmark for Blockchain Systems

Recursive Input And State Estimation: A General Framework For Learning From Time Series With Missing Data

Learning the Exciton Properties of Azo-dyes

Vehicle sharing systems: A review and a holistic management framework

Mean-field dynamics of infinite-dimensional particle systems: global shear versus random local forcing

Graph Chatbot

Chattez avec Graph Search

A general framework to evaluate different rebalancing operations strategies in one-way car sharing systems

DIABLO: A Benchmark Suite for Blockchains

Dynamic Probabilistic Pruning: A General Framework for Hardware-Constrained Pruning at Different Granularities

Data-driven distributed online learning control for islanded microgrids

Diablo-v2: A Benchmark for Blockchain Systems

Towards Beam-Beam Simulations for FCC-ee

Recursive Input And State Estimation: A General Framework For Learning From Time Series With Missing Data

Mean-field dynamics of infinite-dimensional particle systems: global shear versus random local forcing

Learning the Exciton Properties of Azo-dyes

Vehicle sharing systems: A review and a holistic management framework