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Asma Atamna
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Augmented Lagrangian constraint handling for CMA-ES—case of a single linear constraint
A Atamna, A Auger, N Hansen
International Conference on Parallel Problem Solving from Nature, 181-191, 2016
262016
How to assess step-size adaptation mechanisms in randomised search
N Hansen, A Atamna, A Auger
International Conference on Parallel Problem Solving from Nature, 60-69, 2014
262014
Benchmarking ipop-cma-es-tpa and ipop-cma-es-msr on the bbob noiseless testbed
A Atamna
Proceedings of the Companion Publication of the 2015 Annual Conference on …, 2015
242015
Linearly convergent evolution strategies via augmented Lagrangian constraint handling
A Atamna, A Auger, N Hansen
Proceedings of the 14th ACM/SIGEVO Conference on Foundations of Genetic …, 2017
202017
COmparing continuous optimizers: numbbo
N Hansen, D Brockhoff, O Mersmann, T Tusar, D Tusar, OA ElHara, ...
COCO on Github 10, 2019
162019
COmparing Continuous Optimizers: numbbo/COCO on Github, March 2019
N Hansen, D Brockhoff, O Mersmann, T Tusar, D Tusar, OA ElHara, ...
URL https://doi. org/10 5281, 2019
72019
Analysis of linear convergence of a (1+ 1)-ES with augmented lagrangian constraint handling
A Atamna, A Auger, N Hansen
Proceedings of the Genetic and Evolutionary Computation Conference 2016, 213-220, 2016
72016
A Principled Approach to Analyze Expressiveness and Accuracy of Graph Neural Networks
A Atamna, N Sokolovska, JC Crivello
International Symposium on Intelligent Data Analysis, 27-39, 2020
52020
SPI-GCN: a simple permutation-invariant graph convolutional network
A Atamna, N Sokolovska, JC Crivello
52019
On invariance and linear convergence of evolution strategies with augmented Lagrangian constraint handling
A Atamna, A Auger, N Hansen
Theoretical Computer Science 832, 68-97, 2020
32020
A Methodology for Building Scalable Test Problems for Continuous Constrained Optimization
P Sampaio, N Hansen, D Brockhoff, A Auger, A Atamna
Book of Abstracts, 104, 2017
32017
Convex optimization with an interpolation-based projection and its application to deep learning
R Akrour, A Atamna, J Peters
Machine Learning 110 (8), 2267-2289, 2021
12021
HRI-RNN: A User-Robot Dynamics-Oriented RNN for Engagement Decrease Detection
A Atamna, C Clavel
INTERSPEECH 2020, 2020
12020
Analysis of Randomized Adaptive Algorithms for Black-Box Continuous Constrained Optimization
A Atamna
Université Paris-Saclay (ComUE), 2017
12017
Benchmarking several strategies to update the penalty parameters in AL-CMA-ES on the bbob-constrained testbed
P Dufossé, A Atamna
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2022
2022
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