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09/11/2023
Interpretable learning of effective dynamics for multiscale systems
The modeling and simulation of high-dimensional multiscale systems is a ...
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06/18/2023
Meta-Learning for Airflow Simulations with Graph Neural Networks
The field of numerical simulation is of significant importance for the d...
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04/28/2023
MultiZenoTravel: a Tunable Benchmark for Multi-Objective Planning with Known Pareto Front
Multi-objective AI planning suffers from a lack of benchmarks exhibiting...
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11/30/2022
Continuous Methods : Adaptively intrusive reduced order model closure
Reduced order modeling methods are often used as a mean to reduce simula...
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11/21/2022
DS-GPS : A Deep Statistical Graph Poisson Solver (for faster CFD simulations)
This paper proposes a novel Machine Learning-based approach to solve a P...
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07/08/2022
Continuous Methods : Hamiltonian Domain Translation
This paper proposes a novel approach to domain translation. Leveraging e...
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02/22/2022
CD-ROM: Complementary Deep-Reduced Order Model
Model order reduction through the POD-Galerkin method can lead to dramat...
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11/05/2021
Frugal Machine Learning
Machine learning, already at the core of increasingly many systems and a...
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05/17/2021
DISCO Verification: Division of Input Space into COnvex polytopes for neural network verification
The impressive results of modern neural networks partly come from their ...
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05/02/2021
Paradiseo: From a Modular Framework for Evolutionary Computation to the Automated Design of Metaheuristics —22 Years of Paradiseo—
The success of metaheuristic optimization methods has led to the develop...
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02/26/2021
Zoetrope Genetic Programming for Regression
The Zoetrope Genetic Programming (ZGP) algorithm is based on an original...
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11/25/2019
CAMUS: A Framework to Build Formal Specifications for Deep Perception Systems Using Simulators
The topic of provable deep neural network robustness has raised consider...
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08/22/2019
LEAP nets for power grid perturbations
We propose a novel neural network embedding approach to model power tran...
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06/01/2019
Automated Machine Learning with Monte-Carlo Tree Search (Extended Version)
The AutoML task consists of selecting the proper algorithm in a machine ...
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03/21/2019
Multi-Domain Adversarial Learning
Multi-domain learning (MDL) aims at obtaining a model with minimal avera...
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02/27/2019
On the Behaviour of Differential Evolution for Problems with Dynamic Linear Constraints
Evolutionary algorithms have been widely applied for solving dynamic con...
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05/03/2018
Optimization of computational budget for power system risk assessment
We address the problem of maintaining high voltage power transmission ne...
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05/03/2018
Anticipating contingengies in power grids using fast neural net screening
We address the problem of maintaining high voltage power transmission ne...
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03/09/2018
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities
Biological evolution provides a creative fount of complex and subtle ada...
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01/30/2018
Fast Power system security analysis with Guided Dropout
We propose a new method to efficiently compute load-flows (the steady-st...
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09/27/2017
Introducing machine learning for power system operation support
We address the problem of assisting human dispatchers in operating power...
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09/05/2017
Stochastic Gradient Descent: Going As Fast As Possible But Not Faster
When applied to training deep neural networks, stochastic gradient desce...
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10/27/2016
Anomaly Detection with the Voronoi Diagram Evolutionary Algorithm
This paper presents the Voronoi diagram-based evolutionary algorithm (Vo...
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06/19/2014
Racing Multi-Objective Selection Probabilities
In the context of Noisy Multi-Objective Optimization, dealing with uncer...
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06/10/2014
Maximum Likelihood-based Online Adaptation of Hyper-parameters in CMA-ES
The Covariance Matrix Adaptation Evolution Strategy (CMA-ES) is widely a...
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09/16/2013
Computational Methods for Probabilistic Inference of Sector Congestion in Air Traffic Management
This article addresses the issue of computing the expected cost function...
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09/16/2013
Multiobjective Tactical Planning under Uncertainty for Air Traffic Flow and Capacity Management
We investigate a method to deal with congestion of sectors and delays in...
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09/16/2013
Strategic Planning in Air Traffic Control as a Multi-objective Stochastic Optimization Problem
With the objective of handling the airspace sector congestion subject to...
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08/12/2013
KL-based Control of the Learning Schedule for Surrogate Black-Box Optimization
This paper investigates the control of an ML component within the Covari...
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05/10/2013
Quality Measures of Parameter Tuning for Aggregated Multi-Objective Temporal Planning
Parameter tuning is recognized today as a crucial ingredient when tackli...
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05/06/2013
Multi-Objective AI Planning: Comparing Aggregation and Pareto Approaches
Most real-world Planning problems are multi-objective, trying to minimiz...
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04/10/2013
Sustainable Cooperative Coevolution with a Multi-Armed Bandit
This paper proposes a self-adaptation mechanism to manage the resources ...
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12/20/2012
Multi-Objective AI Planning: Evaluating DAE-YAHSP on a Tunable Benchmark
All standard AI planners to-date can only handle a single objective, and...
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12/17/2012
Online Learning for Ground Trajectory Prediction
This paper presents a model based on an hybrid system to numerically sim...
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12/17/2012
Increasing Air Traffic: What is the Problem?
Nowadays, huge efforts are made to modernize the air traffic management ...
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07/01/2012
Alternative Restart Strategies for CMA-ES
This paper focuses on the restart strategy of CMA-ES on multi-modal func...
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04/24/2012
Black-box optimization benchmarking of IPOP-saACM-ES and BIPOP-saACM-ES on the BBOB-2012 noiseless testbed
In this paper, we study the performance of IPOP-saACM-ES and BIPOP-saACM...
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04/24/2012
Black-box optimization benchmarking of IPOP-saACM-ES on the BBOB-2012 noisy testbed
In this paper, we study the performance of IPOP-saACM-ES, recently propo...
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04/11/2012
Self-Adaptive Surrogate-Assisted Covariance Matrix Adaptation Evolution Strategy
This paper presents a novel mechanism to adapt surrogate-assisted popula...
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05/17/2010
Evolving Genes to Balance a Pole
We discuss how to use a Genetic Regulatory Network as an evolutionary re...
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11/28/2006
