Computational creativity has contributed heavily to abstract art in mode...
Exploration is a fundamental aspect of reinforcement learning (RL), and ...
Recent advances in deep learning, such as powerful generative models and...
Evolutionary computation has been shown to be a highly effective method ...
Optimal transport tools (OTT-JAX) is a Python toolbox that can solve opt...
Evolutionary algorithms have been used in the digital art scene since th...
The study of Ukiyo-e, an important genre of pre-modern Japanese art, foc...
In this paper, we introduce InstantEmbedding, an efficient method for
ge...
From classifying handwritten digits to generating strings of text, the
d...
We present FastRP, a scalable and performant algorithm for learning
dist...
A natural language interface (NLI) to databases is an interface that
tra...
Bilingual word embeddings, which representlexicons of different language...
End-to-end optimization has achieved state-of-the-art performance on man...
Relational database management systems (RDBMSs) are powerful because the...
Populating ontology graphs represents a long-standing problem for the
Se...
Bilingual word embeddings have been widely used to capture the similarit...
Multilingual knowledge graph (KG) embeddings provide latent semantic
rep...
Deep generative models have been enjoying success in modeling continuous...
Many recent works have demonstrated the benefits of knowledge graph
embe...
Do word embeddings converge to learn similar things over different
initi...