Difference between revisions of "Thomas Dybdahl Ahle"
GerdIsenberg (talk | contribs) |
GerdIsenberg (talk | contribs) |
||
(6 intermediate revisions by the same user not shown) | |||
Line 9: | Line 9: | ||
=Computer Chess= | =Computer Chess= | ||
− | Thomas Dybdahl Ahle is owner and primary developer of [[PyChess]], a [[GUI|chess client]] and engine for the [[Linux]] desktop. He is further author of the didactic [[Python]] [[:Category:Open Source|open source chess engines]] [[Sunfish]] <ref>[https://www.techradar.com/author/jonni-bidwell Jonni Bidwell] ('''2016'''). ''Python: Sunfish chess engine''. [https://en.wikipedia.org/wiki/Linux_Format Linux Format], [http://www.itu.dk/people/thdy/papers/sunfish.pdf pdf]</ref> and [[ | + | Thomas Dybdahl Ahle is owner and primary developer of [[PyChess]], a [[GUI|chess client]] and engine for the [[Linux]] desktop. He is further author of the didactic [[Python]] [[:Category:Open Source|open source chess engines]] [[Sunfish]] <ref>[https://www.techradar.com/author/jonni-bidwell Jonni Bidwell] ('''2016'''). ''Python: Sunfish chess engine''. [https://en.wikipedia.org/wiki/Linux_Format Linux Format], [http://www.itu.dk/people/thdy/papers/sunfish.pdf pdf]</ref> and [[FastChess]], the latter a one-layer [[Neural Networks|neural network]] [https://en.wikipedia.org/wiki/Softmax_function softmax] model, combined with a [[Monte-Carlo Tree Search]]. |
=Selected Publications= | =Selected Publications= | ||
<ref>[https://dblp.uni-trier.de/pers/hd/a/Ahle:Thomas_D= dblp: Thomas D. Ahle]</ref> <ref>[https://scholar.google.dk/citations?user=aRiVoYgAAAAJ Thomas D. Ahle - Google Scholar Citations]</ref> <ref>[http://www.itu.dk/people/thdy/ Thomas Dybdahl Ahle]</ref> | <ref>[https://dblp.uni-trier.de/pers/hd/a/Ahle:Thomas_D= dblp: Thomas D. Ahle]</ref> <ref>[https://scholar.google.dk/citations?user=aRiVoYgAAAAJ Thomas D. Ahle - Google Scholar Citations]</ref> <ref>[http://www.itu.dk/people/thdy/ Thomas Dybdahl Ahle]</ref> | ||
+ | ==2015 ...== | ||
* [[Thomas Dybdahl Ahle]], [[Mathematician#RPagh|Rasmus Pagh]], [[Mathematician#IRazenshteyn|Ilya Razenshteyn]], [https://dblp.uni-trier.de/pers/hd/s/Silvestri_0001:Francesco Francesco Silvestri] ('''2015'''). ''On the Complexity of Inner Product Similarity Join''. [https://arxiv.org/abs/1510.02824 arXiv:1510.02824] | * [[Thomas Dybdahl Ahle]], [[Mathematician#RPagh|Rasmus Pagh]], [[Mathematician#IRazenshteyn|Ilya Razenshteyn]], [https://dblp.uni-trier.de/pers/hd/s/Silvestri_0001:Francesco Francesco Silvestri] ('''2015'''). ''On the Complexity of Inner Product Similarity Join''. [https://arxiv.org/abs/1510.02824 arXiv:1510.02824] | ||
* [[Thomas Dybdahl Ahle]], [[Mathematician#MAumueller|Martin Aumüller]], [[Mathematician#RPagh|Rasmus Pagh]] ('''2016'''). ''Parameter-free Locality Sensitive Hashing for Spherical Range Reporting''. [https://arxiv.org/abs/1605.02673 arXiv:1605.02673] <ref>[https://en.wikipedia.org/wiki/Locality-sensitive_hashing Locality-sensitive hashing from Wikipedia]</ref> | * [[Thomas Dybdahl Ahle]], [[Mathematician#MAumueller|Martin Aumüller]], [[Mathematician#RPagh|Rasmus Pagh]] ('''2016'''). ''Parameter-free Locality Sensitive Hashing for Spherical Range Reporting''. [https://arxiv.org/abs/1605.02673 arXiv:1605.02673] <ref>[https://en.wikipedia.org/wiki/Locality-sensitive_hashing Locality-sensitive hashing from Wikipedia]</ref> | ||
Line 19: | Line 20: | ||
* [[Thomas Dybdahl Ahle]] ('''2019'''). ''Subsets and Supermajorities: Unifying Hashing-based Set Similarity Search''. [https://arxiv.org/abs/1904.04045 arXiv:1904.04045] | * [[Thomas Dybdahl Ahle]] ('''2019'''). ''Subsets and Supermajorities: Unifying Hashing-based Set Similarity Search''. [https://arxiv.org/abs/1904.04045 arXiv:1904.04045] | ||
* [[Thomas Dybdahl Ahle]] ('''2019'''). ''Algorithms for Sets''. Ph.D. thesis, [https://en.wikipedia.org/wiki/University_of_Copenhagen University of Copenhagen] | * [[Thomas Dybdahl Ahle]] ('''2019'''). ''Algorithms for Sets''. Ph.D. thesis, [https://en.wikipedia.org/wiki/University_of_Copenhagen University of Copenhagen] | ||
− | * [[Thomas Dybdahl Ahle]], [https://dblp.uni-trier.de/pers/hd/k/Kapralov:Michael Michael Kapralov], [https://dblp.uni-trier.de/ | + | * [[Thomas Dybdahl Ahle]], [https://dblp.uni-trier.de/pers/hd/k/Kapralov:Michael Michael Kapralov], [https://dblp.uni-trier.de/pid/236/4491.html Jakob Tejs Bæk Knudsen], [[Mathematician#RPagh|Rasmus Pagh]], [[Mathematician#AVelingker|Ameya Velingker]], [[Mathematician#DPWoodruff|David P. Woodruff]], [https://dblp.uni-trier.de/pers/hd/z/Zandieh:Amir Amir Zandieh] ('''2019'''). ''Oblivious Sketching of High-Degree Polynomial Kernels''. [https://itu.dk/~thdy/papers/tensorsketch-joint.pdf pdf] |
+ | ==2020 ...== | ||
+ | * [[Thomas Dybdahl Ahle]], [https://dblp.uni-trier.de/pid/236/4491.html Jakob Tejs Bæk Knudsen], [[Mathematician#MThorup|Mikkel Thorup]] ('''2020'''). ''The Power of Hashing with Mersenne Primes''. [https://arxiv.org/abs/2008.08654 arXiv:2008.08654] <ref>[https://en.wikipedia.org/wiki/Mersenne_prime Mersenne prime from Wikipedia]</ref> | ||
=Postings= | =Postings= | ||
Line 27: | Line 30: | ||
* [http://www.talkchess.com/forum/viewtopic.php?t=64972 Approximating Stockfish's Evaluation by PSQTs] by [[Thomas Dybdahl Ahle]], [[CCC]], August 23, 2017 » [[Automated Tuning#Regression|Regression]], [[Piece-Square Tables]], [[Stockfish]] | * [http://www.talkchess.com/forum/viewtopic.php?t=64972 Approximating Stockfish's Evaluation by PSQTs] by [[Thomas Dybdahl Ahle]], [[CCC]], August 23, 2017 » [[Automated Tuning#Regression|Regression]], [[Piece-Square Tables]], [[Stockfish]] | ||
* [http://www.talkchess.com/forum3/viewtopic.php?f=7&t=71301&start=8 Re: A question to MCTS + NN experts] by [[Thomas Dybdahl Ahle]], [[CCC]], August 04, 2019 | * [http://www.talkchess.com/forum3/viewtopic.php?f=7&t=71301&start=8 Re: A question to MCTS + NN experts] by [[Thomas Dybdahl Ahle]], [[CCC]], August 04, 2019 | ||
+ | * [http://www.talkchess.com/forum3/viewtopic.php?f=7&t=71650 New Tool for Tuning with Skopt] by [[Thomas Dybdahl Ahle]], [[CCC]], August 25, 2019 » [[Automated Tuning]] <ref>[https://scikit-optimize.github.io/ skopt API documentation]</ref> | ||
=External Links= | =External Links= | ||
Line 35: | Line 39: | ||
* [https://scholar.google.dk/citations?user=aRiVoYgAAAAJ Thomas D. Ahle - Google Scholar Citations] | * [https://scholar.google.dk/citations?user=aRiVoYgAAAAJ Thomas D. Ahle - Google Scholar Citations] | ||
* [https://twitter.com/thomasahle Thomas Dybdahl Ahle (@thomasahle) | Twitter] | * [https://twitter.com/thomasahle Thomas Dybdahl Ahle (@thomasahle) | Twitter] | ||
− | * | + | * [https://www.mathgenealogy.org/id.php?id=254777 Thomas Ahle - The Mathematics Genealogy Project] |
− | |||
=References= | =References= | ||
Line 43: | Line 46: | ||
[[Category:Chess Programmer|Ahle]] | [[Category:Chess Programmer|Ahle]] | ||
[[Category:Mathematician|Ahle]] | [[Category:Mathematician|Ahle]] | ||
− |
Latest revision as of 17:25, 17 September 2020
Home * People * Thomas Dybdahl Ahle
Thomas Dybdahl Ahle,
a Danish computer scientist, software developer, and currently post doctoral researcher at Basic Algorithms Research group (BARC) [2] at University of Copenhagen [3].
He holds a Master of Arts in computer science in 2013 from University of Oxford,
and a M.Sc. and Ph.D. in algorithms and theoretical computer science from University of Copenhagen in 2017 and 2019 respectively.
Contents
Computer Chess
Thomas Dybdahl Ahle is owner and primary developer of PyChess, a chess client and engine for the Linux desktop. He is further author of the didactic Python open source chess engines Sunfish [4] and FastChess, the latter a one-layer neural network softmax model, combined with a Monte-Carlo Tree Search.
Selected Publications
2015 ...
- Thomas Dybdahl Ahle, Rasmus Pagh, Ilya Razenshteyn, Francesco Silvestri (2015). On the Complexity of Inner Product Similarity Join. arXiv:1510.02824
- Thomas Dybdahl Ahle, Martin Aumüller, Rasmus Pagh (2016). Parameter-free Locality Sensitive Hashing for Spherical Range Reporting. arXiv:1605.02673 [8]
- Thomas Dybdahl Ahle (2017). Optimal Las Vegas Locality Sensitive Data Structures. arXiv:1704.02054
- Thomas Dybdahl Ahle (2017). Optimal Set Similarity Data-structures Without False Negatives. Master thesis, University of Copenhagen, pdf [9]
- Thomas Dybdahl Ahle (2019). Subsets and Supermajorities: Unifying Hashing-based Set Similarity Search. arXiv:1904.04045
- Thomas Dybdahl Ahle (2019). Algorithms for Sets. Ph.D. thesis, University of Copenhagen
- Thomas Dybdahl Ahle, Michael Kapralov, Jakob Tejs Bæk Knudsen, Rasmus Pagh, Ameya Velingker, David P. Woodruff, Amir Zandieh (2019). Oblivious Sketching of High-Degree Polynomial Kernels. pdf
2020 ...
- Thomas Dybdahl Ahle, Jakob Tejs Bæk Knudsen, Mikkel Thorup (2020). The Power of Hashing with Mersenne Primes. arXiv:2008.08654 [10]
Postings
- Sunfish – A 111 line Chess Engine in Python by Thomas Dybdahl Ahle, reddit, February 16, 2014
- Negative alpha/beta windows: Are they useful? by Thomas Dybdahl Ahle, CCC, March 06, 2015
- Storing both alpha and beta scores in TT by Thomas Dybdahl Ahle, CCC, August 02, 2016 » Transposition Table
- Approximating Stockfish's Evaluation by PSQTs by Thomas Dybdahl Ahle, CCC, August 23, 2017 » Regression, Piece-Square Tables, Stockfish
- Re: A question to MCTS + NN experts by Thomas Dybdahl Ahle, CCC, August 04, 2019
- New Tool for Tuning with Skopt by Thomas Dybdahl Ahle, CCC, August 25, 2019 » Automated Tuning [11]
External Links
- Thomas Dybdahl Ahle
- Thomas Dybdahl Ahle | LinkedIn
- User Thomas Dybdahl Ahle - MathOverflow
- thomasahle (Thomas Dybdahl Ahle) · GitHub
- Thomas D. Ahle - Google Scholar Citations
- Thomas Dybdahl Ahle (@thomasahle) | Twitter
- Thomas Ahle - The Mathematics Genealogy Project
References
- ↑ thomasahle (Thomas Dybdahl Ahle) · GitHub
- ↑ BARC – University of Copenhagen
- ↑ Thomas Dybdahl Ahle | LinkedIn
- ↑ Jonni Bidwell (2016). Python: Sunfish chess engine. Linux Format, pdf
- ↑ dblp: Thomas D. Ahle
- ↑ Thomas D. Ahle - Google Scholar Citations
- ↑ Thomas Dybdahl Ahle
- ↑ Locality-sensitive hashing from Wikipedia
- ↑ MinHash from Wikipedia
- ↑ Mersenne prime from Wikipedia
- ↑ skopt API documentation