Difference between revisions of "Yu Nasu"

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* [https://dblp.org/pers/hd/o/Ohtani:Yamato Yamato Ohtani], [[Yu Nasu]], [https://dblp.org/pers/hd/m/Morita:Masahiro Masahiro Morita], [https://dblp.org/pers/hd/a/Akamine:Masami Masami Akamine] ('''2015'''). ''[https://www.semanticscholar.org/paper/Emotional-transplant-in-statistical-speech-based-on-Ohtani-Nasu/5d6c1846bef6e8f796a84f6d7a381fdcffe1e1dd Emotional transplant in statistical speech synthesis based on emotion additive model]''. [https://dblp.org/db/conf/interspeech/interspeech2015.html#OhtaniNMA15 INTERSPEECH 2015] <ref>[https://en.wikipedia.org/wiki/Hidden_semi-Markov_model hidden semi-Markov model from Wikipedia]</ref> <ref>[https://en.wikipedia.org/wiki/Kernel_eigenvoice Kernel eigenvoice from Wikipedia]</ref>
 
* [https://dblp.org/pers/hd/o/Ohtani:Yamato Yamato Ohtani], [[Yu Nasu]], [https://dblp.org/pers/hd/m/Morita:Masahiro Masahiro Morita], [https://dblp.org/pers/hd/a/Akamine:Masami Masami Akamine] ('''2015'''). ''[https://www.semanticscholar.org/paper/Emotional-transplant-in-statistical-speech-based-on-Ohtani-Nasu/5d6c1846bef6e8f796a84f6d7a381fdcffe1e1dd Emotional transplant in statistical speech synthesis based on emotion additive model]''. [https://dblp.org/db/conf/interspeech/interspeech2015.html#OhtaniNMA15 INTERSPEECH 2015] <ref>[https://en.wikipedia.org/wiki/Hidden_semi-Markov_model hidden semi-Markov model from Wikipedia]</ref> <ref>[https://en.wikipedia.org/wiki/Kernel_eigenvoice Kernel eigenvoice from Wikipedia]</ref>
 
* [[Hisayori Noda]], [[Jun Okabe]], [[Takahiro Suzuki]], [[Masatoshi Hidaka]], [[Yu Nasu]], [[Akio Kono]] ('''2017'''). ''Shouten Gensou Knights of Tanuki Appeal Document''. The Minstrel's Ballad: Tanuki's Reign, [http://www2.computer-shogi.org/wcsc27/appeal/tanuki-/appeal.pdf pdf] (Japanese)
 
* [[Hisayori Noda]], [[Jun Okabe]], [[Takahiro Suzuki]], [[Masatoshi Hidaka]], [[Yu Nasu]], [[Akio Kono]] ('''2017'''). ''Shouten Gensou Knights of Tanuki Appeal Document''. The Minstrel's Ballad: Tanuki's Reign, [http://www2.computer-shogi.org/wcsc27/appeal/tanuki-/appeal.pdf pdf] (Japanese)
* [[Yu Nasu]] ('''2018'''). ''&#398;U&#1048;&#1048; Efficiently Updatable Neural-Network based Evaluation Functions for Computer Shogi''.  Ziosoft Computer Shogi Club, [https://github.com/ynasu87/nnue/blob/master/docs/nnue.pdf pdf], [https://www.apply.computer-shogi.org/wcsc28/appeal/the_end_of_genesis_T.N.K.evolution_turbo_type_D/nnue.pdf pdf] (Japanese with English abstract)
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* [[Yu Nasu]] ('''2018'''). ''&#398;U&#1048;&#1048; Efficiently Updatable Neural-Network based Evaluation Functions for Computer Shogi''.  Ziosoft Computer Shogi Club, [https://github.com/ynasu87/nnue/blob/master/docs/nnue.pdf pdf], [https://www.apply.computer-shogi.org/wcsc28/appeal/the_end_of_genesis_T.N.K.evolution_turbo_type_D/nnue.pdf pdf] (Japanese with English abstract) [https://github.com/asdfjkl/nnue GitHub - asdfjkl/nnue translation] <ref>[http://www.talkchess.com/forum3/viewtopic.php?f=2&t=76250 Translation of Yu Nasu's NNUE paper] by [[Dominik Klein]], [[CCC]], January 07, 2021</ref>
  
 
=External Links=
 
=External Links=

Revision as of 18:33, 7 January 2021

Home * People * Yu Nasu

Yu Nasu, (那須悠)
a Japanese computer scientist and Shogi programmer. While affiliated with the Tokyo Institute of Technology [1], and the Knowledge Media Laboratory, Toshiba, his research focused on natural language processing, speech recognition and speech synthesis as application of hidden Markov model and neural networks [2].

Shogi

Along with Hisayori Noda (Nodchip), Jun Okabe, Takahiro Suzuki, Masatoshi Hidaka, and at times Akio Kono, Yu Nasu was member of The Minstrel's Ballad: Tanuki's Reign [3] [4] and subsequently is member of the Ziosoft Computer Shogi Club, developing and representing the Shogi playing entities Shouten Gensou Knights of Tanuki (2017, derived from Yaneura King by Motohiro Isozaki aka Yaneurao) [5] [6], the end of genesis T.N.K.evolution turbo type D [7] [8] and Tanu-King at the WCSC29 [9].

NNUE

In 2018, Yu Nasu introduced a new evaluation function based on a shallow neural network whose heavily overparametrized input layer outputs were incremental updated in make and unmake move. This approach, dubbed NNUE (ƎUИИ Efficiently Updatable Neural Networks), turned out to become extremely powerful. NNUE was used along with a Stockfish based Shogi adaptation in YaneuraOu, as well in other Shogi playing entities such as Kristallweizen [10], apparently with superhuman AlphaZero strength [11]. YaneuraOu team member Hisayori Noda aka Nodchip proved that Nasu's idea also works well in western chess, yielding to Stockfish NNUE [12] and in September 2020 to Stockfish 12 [13].

Selected Publications

[14]

External Links

References

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