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Committee Date Time Place Paper Title / Authors Abstract Paper #
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2022-06-27
14:00		 Okinawa
(Primary: On-site, Secondary: Online)		 Transformer-Based Fully Trainable Model for Point Process with Past Sequence-Representative Vector
Fumiya Nishizawa, Sujun Hong, Hirotaka Hachiya (Graduate School of System Engineering, Wakayama University) NC2022-1 IBISML2022-1		 Recently, a Transformer-based partially trainable point process has been proposed, where a feature vector is extracted f... [more] NC2022-1 IBISML2022-1
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