Raphaël Dang-Nhu

Publication Activity (10 Years)

Years Active: 2018-2022
Publications (10 Years): 8

Top Topics

Random Field Models

Autoregressive Moving Average

Structured Representations

Top Venues

Frontiers Comput. Neurosci.

Publications

Raphaël Dang-Nhu
Evaluating Disentanglement of Structured Representations. ICLR (2022)
Raphaël Dang-Nhu, Angelika Steger
Evaluating Disentanglement of Structured Latent Representations. CoRR (2021)
Raphaël Dang-Nhu
PLANS: Neuro-Symbolic Program Learning from Videos. NeurIPS (2020)
Raphaël Dang-Nhu, Gagandeep Singh, Pavol Bielik, Martin T. Vechev
Adversarial Attacks on Probabilistic Autoregressive Forecasting Models. ICML (2020)
Raphaël Dang-Nhu, Gagandeep Singh, Pavol Bielik, Martin T. Vechev
Adversarial Attacks on Probabilistic Autoregressive Forecasting Models. CoRR (2020)
Florian Meier, Raphaël Dang-Nhu, Angelika Steger
Adaptive Tuning Curve Widths Improve Sample Efficient Learning. Frontiers Comput. Neurosci. 14 (2020)
Raphaël Dang-Nhu
PLANS: Robust Program Learning from Neurally Inferred Specifications. CoRR (2020)
Raphaël Dang-Nhu, Thibault Dardinier, Benjamin Doerr, Gautier Izacard, Dorian Nogneng
A new analysis method for evolutionary optimization of dynamic and noisy objective functions. GECCO (2018)