Nicola De Cao
Title
Cited by
Cited by
Year
MolGAN: An implicit generative model for small molecular graphs
N De Cao, T Kipf
ICML 2018 workshop on Theoretical Foundations and Applications of Deep …, 2018
2122018
Hyperspherical Variational Auto-Encoders
TR Davidson, L Falorsi, N De Cao, T Kipf, JM Tomczak
34th Conference on Uncertainty in Artificial Intelligence (UAI18), 2018
1212018
Question answering by reasoning across documents with graph convolutional networks
N De Cao, W Aziz, I Titov
Conference of the North American Chapter of the Associationfor Computational …, 2019
742019
Block Neural Autoregressive Flow
N De Cao, I Titov, W Aziz
35th Conference on Uncertainty in Artificial Intelligence (UAI19), 2019
362019
Explorations in Homeomorphic Variational Auto-Encoding
L Falorsi, P de Haan, TR Davidson, N De Cao, M Weiler, P Forré, ...
ICML 2018 workshop on Theoretical Foundations and Applications of Deep …, 2018
32*2018
How do decisions emerge across layers in neural models? interpretation with differentiable masking
N De Cao, M Schlichtkrull, W Aziz, I Titov
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
42020
The Power Spherical distribution
N De Cao, W Aziz
Proceedings of the 37th International Conference on Machine Learning (ICML …, 2020
12020
Autoregressive Entity Retrieval
N De Cao, G Izacard, S Riedel, F Petroni
arXiv preprint arXiv:2010.00904, 2020
2020
Interpreting Graph Neural Networks for NLP With Differentiable Edge Masking
MS Schlichtkrull, N De Cao, I Titov
arXiv preprint arXiv:2010.00577, 2020
2020
KILT: a Benchmark for Knowledge Intensive Language Tasks
F Petroni, A Piktus, A Fan, P Lewis, M Yazdani, N De Cao, J Thorne, ...
arXiv preprint arXiv:2009.02252, 2020
2020
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Articles 1–10