| 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 | 25 | 2014 |
| 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 | 19 | 2016 |
| 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 | 18 | 2015 |
| 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 | 15 | 2017 |
| COmparing Continuous Optimizers: numbbo N Hansen, D Brockhoff, O Mersmann, T Tusar, D Tusar, OA ElHara, ... COCO on Github, 2019 | 8 | 2019 |
| COCO documentation repository D Brockhoff, N Hansen, O Mersmann, R Ros, D Tusar, T Tusar URL http://github. com/numbbo/coco-doc, 2017 | 8 | 2017 |
| 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 | 6 | 2016 |
| Comparing continuous optimizers: numbbo/COCO on github N Hansen, D Brockhoff, O Mersmann, T Tusar, D Tusar, OA ElHara, ... Mar, 2019 | 5 | 2019 |
| 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 | 3 | 2017 |
| SPI-GCN: A Simple Permutation-Invariant Graph Convolutional Network A Atamna, N Sokolovska, JC Crivello | 2 | 2019 |
| 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 | 1 | 2020 |
| Analysis of Randomized Adaptive Algorithms for Black-Box Continuous Constrained Optimization A Atamna | 1 | 2017 |
| Long-Term Visitation Value for Deep Exploration in Sparse Reward Reinforcement Learning S Parisi, D Tateo, M Hensel, C D'Eramo, J Peters, J Pajarinen, S Tosatto, ... Conference/Book Title Submitted to the Journal of Machine Learning Research …, 0 | 1 | |
| Convex Optimization with an Interpolation-based Projection and its Application to Deep Learning R Akrour, A Atamna, J Peters arXiv preprint arXiv:2011.07016, 2020 | | 2020 |
| HRI-RNN: A User-Robot Dynamics-Oriented RNN for Engagement Decrease Detection A Atamna, C Clavel INTERSPEECH 2020, 2020 | | 2020 |
| On invariance and linear convergence of evolution strategies with augmented Lagrangian constraint handling A Atamna, A Auger, N Hansen Theoretical Computer Science, 2018 | | 2018 |
Anne AugerInria, CMAP Ecole Polytechnique, IP ParisVerified email at inria.fr
