Individual Variation in the Choice of Referential Form

Towards more variation in text generation: Developing and evaluating variation models for choice of referential form

Fast Sparsely Synchronized Brain Rhythms in A Scale-Free Neural Network

We consider a directed Barab\'{a}si-Albert scale-free network model with symmetric preferential attachment with the same in- and out-degrees, and study emergence of sparsely synchronized rhythms for a fixed attachment de…

Preferential Attachment Graphs with Planted Communities

A variation of the preferential attachment random graph model of Barab\'asi and Albert is defined that incorporates planted communities. The graph is built progressively, with new vertices attaching to the existing ones …

SYNAPSE: SYmbolic Neural-Aided Preference Synthesis Engine

This paper addresses the problem of preference learning, which aims to align robot behaviors through learning user specific preferences (e.g. "good pull-over location") from visual demonstrations. Despite its similarity …

Hypernetworks That Evolve Themselves

How can neural networks evolve themselves without relying on external optimizers? We propose Self-Referential Graph HyperNetworks, systems where the very machinery of variation and inheritance is embedded within the netw…