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Gradient Origin Networks (2021)
Conference Proceeding
Bond-Taylor, S., & Willcocks, C. G. (2021). Gradient Origin Networks.

This paper proposes a new type of generative model that is able to quickly learn a latent representation without an encoder. This is achieved using empirical Bayes to calculate the expectation of the posterior, which is implemented by initialising a... Read More about Gradient Origin Networks.

Disjunctive Temporal Problems under Structural Restrictions (2021)
Conference Proceeding
Dabrowski, K. K., Jonsson, P., Ordyniak, S., & Osipov, G. (2021). Disjunctive Temporal Problems under Structural Restrictions. . https://doi.org/10.1609/aaai.v35i5.16489

The disjunctive temporal problem (DTP) is an expressive temporal formalism that extends Dechter et al.’s simple temporal problem. The DTP is well studied in the literature and has many important applications. It is known that deciding satisfiability... Read More about Disjunctive Temporal Problems under Structural Restrictions.