Daylen Yang
Revision as of 20:30, 2 October 2018 by GerdIsenberg (talk | contribs)
Daylen Yang [1]
Daylen Yang,
an American electrical engineer, in 2017 graduated from University of California, Berkeley, where he worked and published on visual and textual representations in the field of machine learning, such as visualizing residual neural networks [2].
Stockfish
Since 2010, Daylen Yang is member of the Stockfish team [3], where he is application author of Stockfish for Mac, and author of the Stockfish website [4]. In June 2015, he talked on How do modern chess engines work at the TNG Big Techday 8 conference in Munich [5].
Selected Publications
- Akira Fukui, Dong Huk Park, Daylen Yang, Anna Rohrbach, Trevor Darrell, Marcus Rohrbach (2016). Multimodal compact bilinear pooling for visual question answering and visual grounding. arXiv:1606.01847
- Brian Chu, Daylen Yang, Ravi Tadinada (2017). Visualizing Residual Networks. arXiv:1701.02362
Forum Posts
- Stockfish Mac app by Daylen Yang, CCC, January 22, 2014
- Dumb question about alpha-beta by Daylen Yang, CCC, March 04, 2014 » Alpha-Beta
- Parallel Search with Transposition Table by Daylen Yang, CCC, March 27, 2014 » Parallel Search, Shared Hash Table
External Links
- Daylen Yang
- daylen (Daylen Yang) · GitHub
- Daylen Yang - Google Scholar Citations
- Daylen Yang | LinkedIn
- Building Chess ID – Medium by Daylen Yang
- How do modern chess engines work?, Talk by Daylen Yang, Discussion with Tord Romstad, TNG | Big Techday 8, June 12, 2015, YouTube Video [7] [8]
References
- ↑ Daylen Yang
- ↑ Brian Chu, Daylen Yang, Ravi Tadinada (2017). Visualizing Residual Networks. arXiv:1701.02362
- ↑ TNG | Abstracts
- ↑ About - Stockfish - Open Source Chess Engine
- ↑ TNG | Big Techday 8
- ↑ dblp: Daylen Yang
- ↑ Video : How do modern chess engines work ? by Vincent Lejeune, CCC, April 12, 2016
- ↑ Parallelism and Selectivity in Game Tree Search | Video, Talk by Tord Romstad
