most citedGrammar Variational Autoencoder

115 citations

8 papers

cs.PL20173 cited

Miscomputation in software: Learning to live with errors

Tomas Petricek

Computer programs do not always work as expected. In fact, ominous warnings about the desperate state of the software industry continue to be released with almost ritualistic regul…

q-fin.ST2017

Emergence of world-stock-market network

M. Saeedian, T. Jamali, M. Z. Kamali +3

In the age of globalization, it is natural that the stock market of each country is not independent form the other markets. In this case, collective behavior could be emerged form…

cs.LG2017109 cited

Dropout Inference in Bayesian Neural Networks with Alpha-divergences

Yingzhen Li, Yarin Gal

To obtain uncertainty estimates with real-world Bayesian deep learning models, practical inference approximations are needed. Dropout variational inference (VI) for example has bee…

stat.ML2017115 cited

Grammar Variational Autoencoder

Matt J. Kusner, Brooks Paige, José Miguel Hernández-Lobato

Deep generative models have been wildly successful at learning coherent latent representations for continuous data such as video and audio. However, generative modeling of discrete…

cs.CY2017

Sensing and Modeling Human Behavior Using Social Media and Mobile Data

Abhinav Mehrotra, Mirco Musolesi

In the past years we have witnessed the emergence of the new discipline of computational social science, which promotes a new data-driven and computation-based approach to social s…

cs.HC20176 cited

Foreign-language Reviews: Help or Hindrance?

Scott A. Hale, Irene Eleta

The number and quality of user reviews greatly affects consumer purchasing decisions. While reviews in all languages are increasing, it is still often the case (especially for non-…