Raphaël Dang-Nhu

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Benjamin DoerrProfessor at Ecole Polytechnique, FranceVerified email at lix.polytechnique.fr
Thibault DardinierETH ZürichVerified email at inf.ethz.ch
Gautier IzacardMicrosoft AIVerified email at inflection.ai
Martin VechevFull Professor of Computer Science, ETH Zurich; Scientific Director, INSAIT;Verified email at inf.ethz.ch
Pavol BielikETH ZurichVerified email at inf.ethz.ch
Gagandeep SinghAssistant Professor, Department of Computer Science, UIUCVerified email at illinois.edu
Angelika StegerETH ZurichVerified email at inf.ethz.ch
Florian MeierETH ZürichVerified email at inf.ethz.ch

Raphaël Dang-Nhu

École polytechnique

Verified email at polytechnique.org


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A new analysis method for evolutionary optimization of dynamic and noisy objective functions R Dang-Nhu, T Dardinier, B Doerr, G Izacard, D Nogneng Proceedings of the Genetic and Evolutionary Computation Conference, 1467-1474, 2018	31	2018
Adversarial Attacks on Probabilistic Autoregressive Forecasting Models R Dang-Nhu, G Singh, P Bielik, M Vechev ICML, 2020	25	2020
PLANS: Neuro-Symbolic Program Learning from Videos R Dang-Nhu NeurIPS, 2020	12*	2020
Adaptive Tuning Curve Widths Improve Sample Efficient Learning F Meier, R Dang-Nhu, A Steger Frontiers in computational neuroscience 14, 12, 2020	4	2020
Evaluating Disentanglement of Structured Representations R Dang-Nhu ICLR, 2022	3	2022

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