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20162025
most citedJoint Multimodal Learning with Deep Generative Models

125 citations · 392 across the 13 of their papers we have counts for

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cs.LG2019★ 42 cited

Neuro-SERKET: Development of Integrative Cognitive System through the Composition of Deep Probabilistic Generative Models

Tadahiro Taniguchi, Tomoaki Nakamura, Masahiro Suzuki +5

This paper describes a framework for the development of an integrative cognitive system based on probabilistic generative models (PGMs) called Neuro-SERKET. Neuro-SERKET is an exte…