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ORCIDBartosz Piotrowski
Person information
- affiliation: University of Warsaw, Warsaw, Poland
- affiliation: Czech Institute of Informatics, Robotics and Cybernetics, Prague, Czech Republic
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2020 – today
- 2024
[c12]Maciej Mikula, Szymon Tworkowski, Szymon Antoniak, Bartosz Piotrowski, Albert Q. Jiang, Jin Peng Zhou, Christian Szegedy, Lukasz Kucinski, Piotr Milos, Yuhuai Wu:
Magnushammer: A Transformer-Based Approach to Premise Selection. ICLR 2024- [i10]Alicja Ziarko, Albert Q. Jiang, Bartosz Piotrowski, Wenda Li, Mateja Jamnik, Piotr Milos:
Repurposing Language Models into Embedding Models: Finding the Compute-Optimal Recipe. CoRR abs/2406.04165 (2024) - 2023
- [c11]Jan Jakubuv, Karel Chvalovský, Zarathustra Amadeus Goertzel, Cezary Kaliszyk
, Mirek Olsák, Bartosz Piotrowski, Stephan Schulz, Martin Suda, Josef Urban:
MizAR 60 for Mizar 50. ITP 2023: 19:1-19:22 - [c10]Jan Jakubuv, Mikolás Janota, Bartosz Piotrowski, Jelle Piepenbrock, Andrew Reynolds:
Selecting Quantifiers for Instantiation in SMT. SMT 2023: 71-77 - [c9]Mikolás Janota, Bartosz Piotrowski, Karel Chvalovský:
Towards Learning Infinite SMT Models (Work in Progress). SYNASC 2023: 82-85 - [c8]Bartosz Piotrowski, Ramon Fernández Mir, Edward W. Ayers:
Machine-Learned Premise Selection for Lean. TABLEAUX 2023: 175-186 - [i9]Zhangir Azerbayev, Bartosz Piotrowski, Hailey Schoelkopf, Edward W. Ayers, Dragomir Radev, Jeremy Avigad:
ProofNet: Autoformalizing and Formally Proving Undergraduate-Level Mathematics. CoRR abs/2302.12433 (2023) - [i8]Jan Jakubuv, Karel Chvalovský, Zarathustra Amadeus Goertzel, Cezary Kaliszyk, Mirek Olsák, Bartosz Piotrowski, Stephan Schulz, Martin Suda, Josef Urban:
MizAR 60 for Mizar 50. CoRR abs/2303.06686 (2023) - [i7]Bartosz Piotrowski, Ramon Fernández Mir, Edward W. Ayers:
Machine-Learned Premise Selection for Lean. CoRR abs/2304.00994 (2023) - 2022
- [c7]Mikolás Janota, Jelle Piepenbrock, Bartosz Piotrowski:
Towards Learning Quantifier Instantiation in SMT. SAT 2022: 7:1-7:18 - 2021
- [c6]Liao Zhang, Lasse Blaauwbroek, Bartosz Piotrowski, Prokop Cerný, Cezary Kaliszyk, Josef Urban:
Online Machine Learning Techniques for Coq: A Comparison. CICM 2021: 67-83 - [i6]Liao Zhang, Lasse Blaauwbroek, Bartosz Piotrowski, Prokop Cerný, Cezary Kaliszyk, Josef Urban:
Online Machine Learning Techniques for Coq: A Comparison. CoRR abs/2104.05207 (2021) - 2020
- [c5]Jan Jakubuv, Karel Chvalovský, Miroslav Olsák, Bartosz Piotrowski, Martin Suda, Josef Urban:
ENIGMA Anonymous: Symbol-Independent Inference Guiding Machine (System Description). IJCAR (2) 2020: 448-463 - [c4]Bartosz Piotrowski, Josef Urban:
Stateful Premise Selection by Recurrent Neural Networks. LPAR 2020: 409-422 - [c3]Bartosz Piotrowski, Josef Urban:
Guiding Inferences in Connection Tableau by Recurrent Neural Networks. CICM 2020: 309-314 - [i5]Jan Jakubuv, Karel Chvalovský, Miroslav Olsák, Bartosz Piotrowski, Martin Suda, Josef Urban:
ENIGMA Anonymous: Symbol-Independent Inference Guiding Machine (system description). CoRR abs/2002.05406 (2020) - [i4]Bartosz Piotrowski, Josef Urban:
Stateful Premise Selection by Recurrent Neural Networks. CoRR abs/2004.08212 (2020)
2010 – 2019
- 2019
- [i3]Bartosz Piotrowski, Josef Urban:
Guiding Theorem Proving by Recurrent Neural Networks. CoRR abs/1905.07961 (2019) - [i2]Bartosz Piotrowski, Josef Urban, Chad E. Brown, Cezary Kaliszyk:
Can Neural Networks Learn Symbolic Rewriting? CoRR abs/1911.04873 (2019) - 2018
- [c2]Bartosz Piotrowski, Josef Urban:
ATPboost: Learning Premise Selection in Binary Setting with ATP Feedback. IJCAR 2018: 566-574 - [c1]Bartosz Pawel Piotrowski, Miron Bartosz Kursa:
Fully Automatic Classification of Flow Cytometry Data. ISMIS 2018: 3-12 - [i1]Bartosz Piotrowski, Josef Urban:
ATPboost: Learning Premise Selection in Binary Setting with ATP Feedback. CoRR abs/1802.03375 (2018)
Coauthor Index
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last updated on 2024-08-08 20:18 CEST by the dblp team
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