Eric Nalisnick
Eric Nalisnick
Postdoctoral Researcher, University of Cambridge
Verifierad e-postadress på uci.edu - Startsida
Titel
Citeras av
Citeras av
År
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
1282016
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
902018
A dual embedding space model for document ranking
B Mitra, E Nalisnick, N Craswell, R Caruana
arXiv preprint arXiv:1602.01137, 2016
902016
Stick-breaking variational autoencoders
E Nalisnick, P Smyth
arXiv preprint arXiv:1605.06197, 2016
80*2016
Approximate inference for deep latent gaussian mixtures
E Nalisnick, L Hertel, P Smyth
NIPS Workshop on Bayesian Deep Learning 2, 2016
382016
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
372013
Extracting sentiment networks from Shakespeare's plays
ET Nalisnick, HS Baird
2013 12th International Conference on Document Analysis and Recognition, 758-762, 2013
302013
A scale mixture perspective of multiplicative noise in neural networks
E Nalisnick, A Anandkumar, P Smyth
arXiv preprint arXiv:1506.03208, 2015
16*2015
Infinite dimensional word embeddings
E Nalisnick, S Ravi
152017
Normalizing Flows for Probabilistic Modeling and Inference
G Papamakarios, E Nalisnick, DJ Rezende, S Mohamed, ...
arXiv preprint arXiv:1912.02762, 2019
132019
Detecting out-of-distribution inputs to deep generative models using a test for typicality
E Nalisnick, A Matsukawa, YW Teh, B Lakshminarayanan
arXiv preprint arXiv:1906.02994, 2019
132019
Hybrid models with deep and invertible features
E Nalisnick, A Matsukawa, YW Teh, D Gorur, B Lakshminarayanan
arXiv preprint arXiv:1902.02767, 2019
122019
Dropout as a structured shrinkage prior
E Nalisnick, JM Hernández-Lobato, P Smyth
arXiv preprint arXiv:1810.04045, 2018
62018
Learning priors for invariance
E Nalisnick, P Smyth
International Conference on Artificial Intelligence and Statistics, 366-375, 2018
62018
Bayesian batch active learning as sparse subset approximation
R Pinsler, J Gordon, E Nalisnick, JM Hernández-Lobato
Advances in Neural Information Processing Systems, 6356-6367, 2019
52019
On priors for bayesian neural networks
ET Nalisnick
UC Irvine, 2018
52018
Learning approximately objective priors
E Nalisnick, P Smyth
arXiv preprint arXiv:1704.01168, 2017
42017
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
32016
Detecting Out-of-Distribution Inputs to Deep Generative Models Using Typicality
E Nalisnick, A Matsukawa, YW Teh, B Lakshminarayanan
arXiv preprint arXiv:1906.02994, 2019
22019
Automatic depth determination for Bayesian ResNets
E Nalisnick, JM Hernández-Lobato
Third workshop on Bayesian Deep Learning (NeurIPS 2018), 2018
12018
Systemet kan inte utföra åtgärden just nu. Försök igen senare.
Artiklar 1–20