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Eric Nalisnick
Eric Nalisnick
Assistant Professor, University of Amsterdam
Verified email at uci.edu - Homepage
Title
Cited by
Cited by
Year
Normalizing Flows for Probabilistic Modeling and Inference.
G Papamakarios, ET Nalisnick, DJ Rezende, S Mohamed, ...
J. Mach. Learn. Res. 22 (57), 1-64, 2021
5492021
Do deep generative models know what they don't know?
E Nalisnick, A Matsukawa, YW Teh, D Gorur, B Lakshminarayanan
arXiv preprint arXiv:1810.09136, 2018
4082018
Improving document ranking with dual word embeddings
E Nalisnick, B Mitra, N Craswell, R Caruana
Proceedings of the 25th International Conference Companion on World Wide Web …, 2016
1832016
Stick-breaking variational autoencoders
E Nalisnick, P Smyth
arXiv preprint arXiv:1605.06197, 2016
1522016
A dual embedding space model for document ranking
B Mitra, E Nalisnick, N Craswell, R Caruana
arXiv preprint arXiv:1602.01137, 2016
1432016
Detecting Out-of-Distribution Inputs to Deep Generative Models Using a Test for Typicality.
ET Nalisnick, A Matsukawa, YW Teh, B Lakshminarayanan
106*2019
Approximate inference for deep latent gaussian mixtures
E Nalisnick, L Hertel, P Smyth
NIPS Workshop on Bayesian Deep Learning 2, 131, 2016
822016
Bayesian batch active learning as sparse subset approximation
R Pinsler, J Gordon, E Nalisnick, JM Hernández-Lobato
Advances in neural information processing systems 32, 2019
712019
Character-to-character sentiment analysis in Shakespeare’s plays
ET Nalisnick, HS Baird
Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013
702013
Hybrid models with deep and invertible features
E Nalisnick, A Matsukawa, YW Teh, D Gorur, B Lakshminarayanan
International Conference on Machine Learning, 4723-4732, 2019
532019
Extracting sentiment networks from Shakespeare's plays
ET Nalisnick, HS Baird
2013 12th International Conference on Document Analysis and Recognition, 758-762, 2013
352013
Dropout as a structured shrinkage prior
E Nalisnick, JM Hernández-Lobato, P Smyth
International Conference on Machine Learning, 4712-4722, 2019
312019
Bayesian deep learning via subnetwork inference
E Daxberger, E Nalisnick, JU Allingham, J Antorán, ...
International Conference on Machine Learning, 2510-2521, 2021
29*2021
A scale mixture perspective of multiplicative noise in neural networks
E Nalisnick, A Anandkumar, P Smyth
arXiv preprint arXiv:1506.03208, 2015
232015
On priors for Bayesian neural networks
ET Nalisnick
University of California, Irvine, 2018
162018
Infinite dimensional word embeddings
E Nalisnick, S Ravi
16*2017
Learning priors for invariance
E Nalisnick, P Smyth
International Conference on Artificial Intelligence and Statistics, 366-375, 2018
132018
Predictive complexity priors
E Nalisnick, J Gordon, JM Hernández-Lobato
International Conference on Artificial Intelligence and Statistics, 694-702, 2021
122021
Learning approximately objective priors
E Nalisnick, P Smyth
arXiv preprint arXiv:1704.01168, 2017
72017
Analyzing NIH funding patterns over time with statistical text analysis
J Park, M Blume-Kohout, R Krestel, E Nalisnick, P Smyth
Workshops at the Thirtieth AAAI Conference on Artificial Intelligence, 2016
62016
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