Javier Antoran
Title
Cited by
Cited by
Year
Depth uncertainty in neural networks
J Antorán, JU Allingham, JM Hernández-Lobato
Advances in Neural Information Processing Systems 33 (NeurIPS 2020), 2020
112020
Bayesian Deep Learning via Subnetwork Inference
E Daxberger, E Nalisnick, JU Allingham, J Antorán, ...
arXiv preprint arXiv:2010.14689, 2020
10*2020
Getting a CLUE: A Method for Explaining Uncertainty Estimates
J Antorán, U Bhatt, T Adel, A Weller, JM Hernández-Lobato
International Conference on Learning Representations (ICLR), 2021, 2020
92020
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty
U Bhatt, J Antorán, Y Zhang, QV Liao, P Sattigeri, R Fogliato, ...
arXiv preprint arXiv:2011.07586, 2020
62020
Disentangling and learning robust representations with natural clustering
J Antoran, A Miguel
2019 18th IEEE International Conference On Machine Learning And Applications …, 2019
4*2019
Variational depth search in ResNets
J Antorán, JU Allingham, JM Hernández-Lobato
arXiv preprint arXiv:2002.02797, 2020
22020
Understanding Uncertainty in Bayesian Neural Networks
JA Cabiscol
12019
FELIX DAQ Integration Test Tool
J Antoran Cabiscol
2018
Amortised Variational Inference for Hierarchical Mixture Models
J Antorán, J Yao, W Pan, JM Hernández-Lobato, F Doshi-Velez
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Articles 1–9