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Found 8 papers, 4 papers with code
Can a Tabula Recta provide security in the XXI century?
In the not so unlikely scenario of total compromise of computers accessible to a group of users, they might be tempted to resort to human-computable paper-and-pencil cryptographic methods aided by a classic Tabula Recta, which helps to perform addition and subtraction directly with letters.
Augment and Reduce: Stochastic Inference for Large Categorical Distributions
It maximizes a lower bound on the marginal likelihood of the data.
Estimating Heterogeneous Consumer Preferences for Restaurants and Travel Time Using Mobile Location Data
The data is used to identify users' approximate typical morning location, as well as their choices of lunchtime restaurants.
Word2net: Deep Representations of Language
Most embedding methods rely on a log-bilinear model to predict the occurrence of a word in a context of other words.
Context Selection for Embedding Models
Embedding models consider the probability of a target observation (a word or an item) conditioned on the elements in the context (other words or items).
Structured Embedding Models for Grouped Data
Here we develop structured exponential family embeddings (S-EFE), a method for discovering embeddings that vary across related groups of data.
Infinite Factorial Dynamical Model
We propose the infinite factorial dynamic model (iFDM), a general Bayesian nonparametric model for source separation.
Bayesian Nonparametric Modeling of Suicide Attempts
In the present paper, we are interested in seeking the hidden causes behind the suicide attempts, for which we propose to model the subjects using a nonparametric latent model based on the Indian Buffet Process (IBP).
