A new analysis method for evolutionary optimization of dynamic and noisy objective functions. - Raphaël Dang-Nhu; Thibault Dardinier; Benjamin Doerr; Gautier Izacard; Dorian Nogneng (GECCO, 2018)

Adversarial Attacks on Probabilistic Autoregressive Forecasting Models. - Raphaël Dang-Nhu; Gagandeep Singh 001; Pavol Bielik; Martin T. Vechev (ICML, 2020)

PLANS: Neuro-Symbolic Program Learning from Videos. - Raphaël Dang-Nhu (NeurIPS, 2020)

PLANS: Robust Program Learning from Neurally Inferred Specifications. - Raphaël Dang-Nhu (CoRR, 2020)

Adaptive Tuning Curve Widths Improve Sample Efficient Learning. - Florian Meier 002; Raphaël Dang-Nhu; Angelika Steger (Frontiers Comput. Neurosci., 2020)

Evaluating Disentanglement of Structured Latent Representations. - Raphaël Dang-Nhu; Angelika Steger (CoRR, 2021)

Evaluating Disentanglement of Structured Representations. - Raphaël Dang-Nhu (ICLR, 2022)