Raphaël Dang-Nhu

According to our database, Raphaël Dang-Nhu authored at least 7 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Evaluating Disentanglement of Structured Representations.

Raphaël Dang-Nhu

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Evaluating Disentanglement of Structured Latent Representations.

Raphaël Dang-Nhu, Angelika Steger

CoRR, 2021

2020

Adaptive Tuning Curve Widths Improve Sample Efficient Learning.

Florian Meier, Raphaël Dang-Nhu, Angelika Steger

Frontiers Comput. Neurosci., 2020

PLANS: Robust Program Learning from Neurally Inferred Specifications.

Raphaël Dang-Nhu

CoRR, 2020

PLANS: Neuro-Symbolic Program Learning from Videos.

Raphaël Dang-Nhu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Adversarial Attacks on Probabilistic Autoregressive Forecasting Models.

Raphaël Dang-Nhu, Gagandeep Singh, Pavol Bielik, Martin T. Vechev

Proceedings of the 37th International Conference on Machine Learning, 2020

2018

A new analysis method for evolutionary optimization of dynamic and noisy objective functions.

Raphaël Dang-Nhu, Thibault Dardinier, Benjamin Doerr, Gautier Izacard, Dorian Nogneng

Proceedings of the Genetic and Evolutionary Computation Conference, 2018