Marc Schoenauer

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UC San Francisco ∙ Inria

Research Director at INRIA

CAMUS: A Framework to Build Formal Specifications for Deep Perception Systems Using Simulators

The topic of provable deep neural network robustness has raised consider...
11/25/2019 ∙ by Julien Girard-Satabin, et al. ∙ 4 ∙ share

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LEAP nets for power grid perturbations

We propose a novel neural network embedding approach to model power tran...
08/22/2019 ∙ by Benjamin Donnot, et al. ∙ 2 ∙ share

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Automated Machine Learning with Monte-Carlo Tree Search (Extended Version)

The AutoML task consists of selecting the proper algorithm in a machine ...
06/01/2019 ∙ by Herilalaina Rakotoarison, et al. ∙ 22 ∙ share

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Multi-Domain Adversarial Learning

Multi-domain learning (MDL) aims at obtaining a model with minimal avera...
03/21/2019 ∙ by Alice Schoenauer-Sebag, et al. ∙ 14 ∙ share

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On the Behaviour of Differential Evolution for Problems with Dynamic Linear Constraints

Evolutionary algorithms have been widely applied for solving dynamic con...
02/27/2019 ∙ by Maryam Hasani-Shoreh, et al. ∙ 0 ∙ share

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Optimization of computational budget for power system risk assessment

We address the problem of maintaining high voltage power transmission ne...
05/03/2018 ∙ by Benjamin Donnot, et al. ∙ 0 ∙ share

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Anticipating contingengies in power grids using fast neural net screening

We address the problem of maintaining high voltage power transmission ne...
05/03/2018 ∙ by Benjamin Donnot, et al. ∙ 0 ∙ share

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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...
03/09/2018 ∙ by Joel Lehman, et al. ∙ 0 ∙ share

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Fast Power system security analysis with Guided Dropout

We propose a new method to efficiently compute load-flows (the steady-st...
01/30/2018 ∙ by Benjamin Donnot, et al. ∙ 0 ∙ share

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Introducing machine learning for power system operation support

We address the problem of assisting human dispatchers in operating power...
09/27/2017 ∙ by Benjamin Donnot, et al. ∙ 0 ∙ share

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Stochastic Gradient Descent: Going As Fast As Possible But Not Faster

When applied to training deep neural networks, stochastic gradient desce...
09/05/2017 ∙ by Alice Schoenauer-Sebag, et al. ∙ 0 ∙ share

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Anomaly Detection with the Voronoi Diagram Evolutionary Algorithm

This paper presents the Voronoi diagram-based evolutionary algorithm (Vo...
10/27/2016 ∙ by Marti Luis, et al. ∙ 0 ∙ share

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Racing Multi-Objective Selection Probabilities

In the context of Noisy Multi-Objective Optimization, dealing with uncer...
06/19/2014 ∙ by Gaétan Marceau, et al. ∙ 0 ∙ share

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Maximum Likelihood-based Online Adaptation of Hyper-parameters in CMA-ES

The Covariance Matrix Adaptation Evolution Strategy (CMA-ES) is widely a...
06/10/2014 ∙ by Ilya Loshchilov, et al. ∙ 0 ∙ share

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Computational Methods for Probabilistic Inference of Sector Congestion in Air Traffic Management

This article addresses the issue of computing the expected cost function...
09/16/2013 ∙ by Gaétan Marceau, et al. ∙ 0 ∙ share

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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...
09/16/2013 ∙ by Gaétan Marceau, et al. ∙ 0 ∙ share

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Strategic Planning in Air Traffic Control as a Multi-objective Stochastic Optimization Problem

With the objective of handling the airspace sector congestion subject to...
09/16/2013 ∙ by Gaétan Marceau, et al. ∙ 0 ∙ share

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KL-based Control of the Learning Schedule for Surrogate Black-Box Optimization

This paper investigates the control of an ML component within the Covari...
08/12/2013 ∙ by Ilya Loshchilov, et al. ∙ 0 ∙ share

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Quality Measures of Parameter Tuning for Aggregated Multi-Objective Temporal Planning

Parameter tuning is recognized today as a crucial ingredient when tackli...
05/10/2013 ∙ by Mostepha Redouane Khouadjia, et al. ∙ 0 ∙ share

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Multi-Objective AI Planning: Comparing Aggregation and Pareto Approaches

Most real-world Planning problems are multi-objective, trying to minimiz...
05/06/2013 ∙ by Mostepha Redouane Khouadjia, et al. ∙ 0 ∙ share

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Sustainable Cooperative Coevolution with a Multi-Armed Bandit

This paper proposes a self-adaptation mechanism to manage the resources ...
04/10/2013 ∙ by François-Michel De Rainville, et al. ∙ 0 ∙ share

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Multi-Objective AI Planning: Evaluating DAE-YAHSP on a Tunable Benchmark

All standard AI planners to-date can only handle a single objective, and...
12/20/2012 ∙ by Mostepha Redouane Khouadjia, et al. ∙ 0 ∙ share

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Online Learning for Ground Trajectory Prediction

This paper presents a model based on an hybrid system to numerically sim...
12/17/2012 ∙ by Areski Hadjaz, et al. ∙ 0 ∙ share

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Increasing Air Traffic: What is the Problem?

Nowadays, huge efforts are made to modernize the air traffic management ...
12/17/2012 ∙ by Areski Hadjaz, et al. ∙ 0 ∙ share

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Alternative Restart Strategies for CMA-ES

This paper focuses on the restart strategy of CMA-ES on multi-modal func...
07/01/2012 ∙ by Ilya Loshchilov, et al. ∙ 0 ∙ share

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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...
04/24/2012 ∙ by Ilya Loshchilov, et al. ∙ 0 ∙ share

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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...
04/24/2012 ∙ by Ilya Loshchilov, et al. ∙ 0 ∙ share

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Self-Adaptive Surrogate-Assisted Covariance Matrix Adaptation Evolution Strategy

This paper presents a novel mechanism to adapt surrogate-assisted popula...
04/11/2012 ∙ by Ilya Loshchilov, et al. ∙ 0 ∙ share

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Evolving Genes to Balance a Pole

We discuss how to use a Genetic Regulatory Network as an evolutionary re...
05/17/2010 ∙ by Miguel Nicolau, et al. ∙ 0 ∙ share

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On the Benefits of Inoculation, an Example in Train Scheduling

The local reconstruction of a railway schedule following a small perturb...
11/28/2006 ∙ by Yann Semet, et al. ∙ 0 ∙ share

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Marc Schoenauer

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