Deep convolutional networks have become a popular tool for image generation and restoration. Generally, their excellent performance is imputed to their ability to learn realistic image priors from a large number of example images. In this paper, we show that, on the contrary, the structure of a generator network is sufficient to capture a great deal of low-level image statistics prior to any le...

When human tutors engage in dialogue, they freely exploit all aspects of the mutually known context, including the previous discourse. Utterances that do not draw on previous discourse seem awkward, unnatural, or even incoherent. Previous discourse must be taken into account in order to relate new information effectively to recently conveyed material , and to avoid repeating old material that w...

The slightly submerged Bering Shelf-Chukchi Sea region comprises over 50% of the total U.S. continental shelf area and forms a broad isthmus of continental crust connecting the North American and Asian continents (Fig. 1). Although harsh climate and remoteness make this a difficult area to work in, there has been much interest in the stratigraphic framework and evolution of sedimentary basins o...

A Bayesian prior over first-order theories is defined. It is shown that the prior can be approximated, and the relationship to previously studied priors is examined.

In the conventional approaches for supervised parametric learning, relations between data and target variables are provided through training sets consisting of pairs of corresponded data and target variables. In this work, we describe a new learning scheme for parametric learning, in which the target variables y can be modeled with a prior model p(y) and the relations between data and target va...

A new prior is proposed for representation learning, which can be combined with other priors in order to help disentangling abstract factors from each other. It is inspired by the phenomenon of consciousness seen as the formation of a low-dimensional combination of a few concepts constituting a conscious thought, i.e., consciousness as awareness at a particular time instant. This provides a pow...

The extraembryonic membranes [5] that surround and originate from the embryos of vertebrates such as birds [6], reptiles, and mammals are crucial to their development. They are integral to increasing the surface area of the uterus [7], forming the chorion [8] (which in turn produces the placenta [9]) and the amnion [10], respectively. The amnion [10] will ultimately surround the embryo in a flu...

This paper considers the testing of fuzzy hypotheses on the basis of a Bayesian approach. For this, using a notion of prior distribution with interval or fuzzy-valued parameters, we extend a concept of posterior probability of a fuzzy hypothesis. Some of its properties are also put into investigation. The feasibility and effectiveness of the proposed methods are also cla...

While Bayesian methods are praised for their ability to incorporate useful prior knowledge, in practice, priors that allow for computationally convenient or tractable inference are more commonly used. In this paper, we investigate the following question: for a given model, is it possible to use any convenient prior to infer a false posterior, and afterwards, given some true prior of interest, q...

A fundamental issue in clustering concerns one’s ability (and limitation) to detect clusters, assuming they are built-in to the model that generates the data [1, 4]. Results for the planted partition graph models suggest that clusters can be recovered with arbitrary accuracy if sufficient data (link density) is available [2]. More recently, this problem of cluster detectability has been address...