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cs.LG2021★ 1 cited
Evaluating Disentanglement of Structured Representations
Raphaël Dang-Nhu
We introduce the first metric for evaluating disentanglement at individual hierarchy levels of a structured latent representation. Applied to object-centric generative models, this…
cs.LG2020★ 1 cited
PLANS: Robust Program Learning from Neurally Inferred Specifications
Raphaël Dang-Nhu
Recent years have seen the rise of statistical program learning based on neural models as an alternative to traditional rule-based systems for programming by example. Rule-based ap…
cs.LG2020
Adversarial Attacks on Probabilistic Autoregressive Forecasting Models
Raphaël Dang-Nhu, Gagandeep Singh, Pavol Bielik +1
We develop an effective generation of adversarial attacks on neural models that output a sequence of probability distributions rather than a sequence of single values. This setting…