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ORCIDLukasz Kaiser
Łukasz Kaiser
Person information
- unicode name: Łukasz Kaiser
- affiliation: Google Brain
- affiliation: Paris Diderot University, LIAFA
- affiliation: RWTH Aachen University, Department of Mathematics
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2020 – today
- 2024
[i33]Lukasz Kucinski, Witold Drzewakowski, Mateusz Olko, Piotr Kozakowski, Lukasz Maziarka, Marta Emilia Nowakowska, Lukasz Kaiser, Piotr Milos:
tsGT: Stochastic Time Series Modeling With Transformer. CoRR abs/2403.05713 (2024)- 2022
- [c44]Piotr Kozakowski, Lukasz Kaiser, Henryk Michalewski, Afroz Mohiuddin, Katarzyna Kanska:
Q-Value Weighted Regression: Reinforcement Learning with Limited Data. IJCNN 2022: 1-8 - [c43]Piotr Nawrot, Szymon Tworkowski, Michal Tyrolski, Lukasz Kaiser, Yuhuai Wu, Christian Szegedy, Henryk Michalewski:
Hierarchical Transformers Are More Efficient Language Models. NAACL-HLT (Findings) 2022: 1559-1571 - 2021
- [c42]Krzysztof Marcin Choromanski, Valerii Likhosherstov, David Dohan, Xingyou Song, Andreea Gane, Tamás Sarlós, Peter Hawkins, Jared Quincy Davis, Afroz Mohiuddin, Lukasz Kaiser, David Benjamin Belanger, Lucy J. Colwell, Adrian Weller:
Rethinking Attention with Performers. ICLR 2021 - [c41]Sebastian Jaszczur, Aakanksha Chowdhery, Afroz Mohiuddin, Lukasz Kaiser, Wojciech Gajewski, Henryk Michalewski, Jonni Kanerva:
Sparse is Enough in Scaling Transformers. NeurIPS 2021: 9895-9907 - [i32]Piotr Kozakowski, Lukasz Kaiser, Henryk Michalewski, Afroz Mohiuddin, Katarzyna Kanska:
Q-Value Weighted Regression: Reinforcement Learning with Limited Data. CoRR abs/2102.06782 (2021) - [i31]Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Pondé de Oliveira Pinto, Jared Kaplan, Harrison Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, Alex Ray, Raul Puri, Gretchen Krueger, Michael Petrov, Heidy Khlaaf, Girish Sastry, Pamela Mishkin, Brooke Chan, Scott Gray, Nick Ryder, Mikhail Pavlov, Alethea Power, Lukasz Kaiser, Mohammad Bavarian, Clemens Winter, Philippe Tillet, Felipe Petroski Such, Dave Cummings, Matthias Plappert, Fotios Chantzis, Elizabeth Barnes, Ariel Herbert-Voss, William Hebgen Guss, Alex Nichol, Alex Paino, Nikolas Tezak, Jie Tang, Igor Babuschkin, Suchir Balaji, Shantanu Jain, William Saunders, Christopher Hesse, Andrew N. Carr, Jan Leike, Joshua Achiam, Vedant Misra, Evan Morikawa, Alec Radford, Matthew Knight, Miles Brundage, Mira Murati, Katie Mayer, Peter Welinder, Bob McGrew, Dario Amodei, Sam McCandlish, Ilya Sutskever, Wojciech Zaremba:
Evaluating Large Language Models Trained on Code. CoRR abs/2107.03374 (2021) - [i30]Piotr Nawrot, Szymon Tworkowski, Michal Tyrolski, Lukasz Kaiser, Yuhuai Wu, Christian Szegedy, Henryk Michalewski:
Hierarchical Transformers Are More Efficient Language Models. CoRR abs/2110.13711 (2021) - [i29]Karl Cobbe, Vineet Kosaraju, Mohammad Bavarian, Mark Chen, Heewoo Jun, Lukasz Kaiser, Matthias Plappert, Jerry Tworek, Jacob Hilton, Reiichiro Nakano, Christopher Hesse, John Schulman:
Training Verifiers to Solve Math Word Problems. CoRR abs/2110.14168 (2021) - [i28]Sebastian Jaszczur, Aakanksha Chowdhery, Afroz Mohiuddin, Lukasz Kaiser, Wojciech Gajewski, Henryk Michalewski, Jonni Kanerva:
Sparse is Enough in Scaling Transformers. CoRR abs/2111.12763 (2021) - 2020
- [c40]Lukasz Kaiser, Mohammad Babaeizadeh, Piotr Milos, Blazej Osinski, Roy H. Campbell, Konrad Czechowski, Dumitru Erhan, Chelsea Finn, Piotr Kozakowski
, Sergey Levine, Afroz Mohiuddin, Ryan Sepassi, George Tucker, Henryk Michalewski:
Model Based Reinforcement Learning for Atari. ICLR 2020 - [c39]Nikita Kitaev, Lukasz Kaiser, Anselm Levskaya:
Reformer: The Efficient Transformer. ICLR 2020 - [i27]Nikita Kitaev, Lukasz Kaiser, Anselm Levskaya:
Reformer: The Efficient Transformer. CoRR abs/2001.04451 (2020) - [i26]Krzysztof Choromanski, Valerii Likhosherstov, David Dohan, Xingyou Song, Andreea Gane, Tamás Sarlós, Peter Hawkins, Jared Davis, Afroz Mohiuddin, Lukasz Kaiser, David Belanger, Lucy J. Colwell, Adrian Weller:
Rethinking Attention with Performers. CoRR abs/2009.14794 (2020)
2010 – 2019
- 2019
- [c38]Mostafa Dehghani, Stephan Gouws, Oriol Vinyals, Jakob Uszkoreit, Lukasz Kaiser:
Universal Transformers. ICLR (Poster) 2019 - [c37]Yang Li, Lukasz Kaiser, Samy Bengio, Si Si:
Area Attention. ICML 2019: 3846-3855 - [i25]Lukasz Kaiser, Mohammad Babaeizadeh, Piotr Milos, Blazej Osinski, Roy H. Campbell, Konrad Czechowski, Dumitru Erhan, Chelsea Finn, Piotr Kozakowski, Sergey Levine, Ryan Sepassi, George Tucker, Henryk Michalewski:
Model-Based Reinforcement Learning for Atari. CoRR abs/1903.00374 (2019) - [i24]Urvashi Khandelwal, Kevin Clark, Dan Jurafsky, Lukasz Kaiser:
Sample Efficient Text Summarization Using a Single Pre-Trained Transformer. CoRR abs/1905.08836 (2019) - [i23]Daniel Duckworth, Arvind Neelakantan, Ben Goodrich, Lukasz Kaiser, Samy Bengio:
Parallel Scheduled Sampling. CoRR abs/1906.04331 (2019) - 2018
- [c36]Mia Xu Chen, Orhan Firat, Ankur Bapna, Melvin Johnson, Wolfgang Macherey, George F. Foster, Llion Jones, Mike Schuster, Noam Shazeer, Niki Parmar, Ashish Vaswani, Jakob Uszkoreit, Lukasz Kaiser, Zhifeng Chen, Yonghui Wu, Macduff Hughes:
The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation. ACL (1) 2018: 76-86 - [c35]Ashish Vaswani, Samy Bengio, Eugene Brevdo, François Chollet, Aidan N. Gomez, Stephan Gouws, Llion Jones, Lukasz Kaiser, Nal Kalchbrenner, Niki Parmar, Ryan Sepassi, Noam Shazeer, Jakob Uszkoreit:
Tensor2Tensor for Neural Machine Translation. AMTA (1) 2018: 193-199 - [c34]Aidan N. Gomez, Sicong Huang, Ivan Zhang, Bryan M. Li, Muhammad Osama, Lukasz Kaiser:
Unsupervised Cipher Cracking Using Discrete GANs. ICLR (Poster) 2018 - [c33]Lukasz Kaiser, Aidan N. Gomez, François Chollet:
Depthwise Separable Convolutions for Neural Machine Translation. ICLR (Poster) 2018 - [c32]Peter J. Liu, Mohammad Saleh, Etienne Pot, Ben Goodrich, Ryan Sepassi, Lukasz Kaiser, Noam Shazeer:
Generating Wikipedia by Summarizing Long Sequences. ICLR (Poster) 2018 - [c31]Lukasz Kaiser, Samy Bengio, Aurko Roy, Ashish Vaswani, Niki Parmar, Jakob Uszkoreit, Noam Shazeer:
Fast Decoding in Sequence Models Using Discrete Latent Variables. ICML 2018: 2395-2404 - [c30]Niki Parmar, Ashish Vaswani, Jakob Uszkoreit, Lukasz Kaiser, Noam Shazeer, Alexander Ku, Dustin Tran:
Image Transformer. ICML 2018: 4052-4061 - [i22]Aidan N. Gomez, Sicong Huang, Ivan Zhang, Bryan M. Li, Muhammad Osama, Lukasz Kaiser:
Unsupervised Cipher Cracking Using Discrete GANs. CoRR abs/1801.04883 (2018) - [i21]Lukasz Kaiser, Samy Bengio:
Discrete Autoencoders for Sequence Models. CoRR abs/1801.09797 (2018) - [i20]Peter J. Liu, Mohammad Saleh, Etienne Pot, Ben Goodrich, Ryan Sepassi, Lukasz Kaiser, Noam Shazeer:
Generating Wikipedia by Summarizing Long Sequences. CoRR abs/1801.10198 (2018) - [i19]Niki Parmar, Ashish Vaswani, Jakob Uszkoreit, Lukasz Kaiser, Noam Shazeer, Alexander Ku:
Image Transformer. CoRR abs/1802.05751 (2018) - [i18]Lukasz Kaiser, Aurko Roy, Ashish Vaswani, Niki Parmar, Samy Bengio, Jakob Uszkoreit, Noam Shazeer:
Fast Decoding in Sequence Models using Discrete Latent Variables. CoRR abs/1803.03382 (2018) - [i17]Ashish Vaswani, Samy Bengio, Eugene Brevdo, François Chollet, Aidan N. Gomez, Stephan Gouws, Llion Jones, Lukasz Kaiser, Nal Kalchbrenner, Niki Parmar, Ryan Sepassi, Noam Shazeer, Jakob Uszkoreit:
Tensor2Tensor for Neural Machine Translation. CoRR abs/1803.07416 (2018) - [i16]Mostafa Dehghani, Stephan Gouws, Oriol Vinyals, Jakob Uszkoreit, Lukasz Kaiser:
Universal Transformers. CoRR abs/1807.03819 (2018) - [i15]Yang Li, Lukasz Kaiser, Samy Bengio, Si Si:
Area Attention. CoRR abs/1810.10126 (2018) - 2017
- [c29]Lukasz Kaiser, Ofir Nachum, Aurko Roy, Samy Bengio:
Learning to Remember Rare Events. ICLR (Poster) 2017 - [c28]Gabriel Pereyra, George Tucker, Jan Chorowski, Lukasz Kaiser, Geoffrey E. Hinton:
Regularizing Neural Networks by Penalizing Confident Output Distributions. ICLR (Workshop) 2017 - [c27]Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, Illia Polosukhin:
Attention is All you Need. NIPS 2017: 5998-6008 - [i14]Gabriel Pereyra, George Tucker, Jan Chorowski, Lukasz Kaiser, Geoffrey E. Hinton:
Regularizing Neural Networks by Penalizing Confident Output Distributions. CoRR abs/1701.06548 (2017) - [i13]Lukasz Kaiser, Ofir Nachum, Aurko Roy, Samy Bengio:
Learning to Remember Rare Events. CoRR abs/1703.03129 (2017) - [i12]Lukasz Kaiser, Aidan N. Gomez, François Chollet:
Depthwise Separable Convolutions for Neural Machine Translation. CoRR abs/1706.03059 (2017) - [i11]Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, Illia Polosukhin:
Attention Is All You Need. CoRR abs/1706.03762 (2017) - [i10]Lukasz Kaiser, Aidan N. Gomez, Noam Shazeer, Ashish Vaswani, Niki Parmar, Llion Jones, Jakob Uszkoreit:
One Model To Learn Them All. CoRR abs/1706.05137 (2017) - 2016
- [c26]Lukasz Kaiser, Samy Bengio:
Can Active Memory Replace Attention? NIPS 2016: 3774-3782 - [c25]Lukasz Kaiser, Ilya Sutskever:
Neural GPUs Learn Algorithms. ICLR (Poster) 2016 - [c24]Minh-Thang Luong, Quoc V. Le, Ilya Sutskever, Oriol Vinyals, Lukasz Kaiser:
Multi-task Sequence to Sequence Learning. ICLR (Poster) 2016 - [i9]Martín Abadi, Ashish Agarwal, Paul Barham, Eugene Brevdo, Zhifeng Chen, Craig Citro, Gregory S. Corrado, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Ian J. Goodfellow, Andrew Harp, Geoffrey Irving, Michael Isard, Yangqing Jia, Rafal Józefowicz, Lukasz Kaiser, Manjunath Kudlur, Josh Levenberg, Dan Mané, Rajat Monga, Sherry Moore, Derek Gordon Murray, Chris Olah, Mike Schuster, Jonathon Shlens, Benoit Steiner, Ilya Sutskever, Kunal Talwar, Paul A. Tucker, Vincent Vanhoucke, Vijay Vasudevan, Fernanda B. Viégas, Oriol Vinyals, Pete Warden, Martin Wattenberg, Martin Wicke, Yuan Yu, Xiaoqiang Zheng:
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems. CoRR abs/1603.04467 (2016) - [i8]Charles Jordan, Lukasz Kaiser:
Machine Learning with Guarantees using Descriptive Complexity and SMT Solvers. CoRR abs/1609.02664 (2016) - [i7]Yonghui Wu, Mike Schuster, Zhifeng Chen, Quoc V. Le, Mohammad Norouzi, Wolfgang Macherey, Maxim Krikun, Yuan Cao, Qin Gao, Klaus Macherey, Jeff Klingner, Apurva Shah, Melvin Johnson, Xiaobing Liu, Lukasz Kaiser, Stephan Gouws, Yoshikiyo Kato, Taku Kudo, Hideto Kazawa, Keith Stevens, George Kurian, Nishant Patil, Wei Wang, Cliff Young, Jason Smith, Jason Riesa, Alex Rudnick, Oriol Vinyals, Greg Corrado, Macduff Hughes, Jeffrey Dean:
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation. CoRR abs/1609.08144 (2016) - [i6]Lukasz Kaiser, Samy Bengio:
Can Active Memory Replace Attention? CoRR abs/1610.08613 (2016) - 2015
- [c23]Lukasz Kaiser, Martin Lang, Simon Leßenich, Christof Löding:
A Unified Approach to Boundedness Properties in MSO. CSL 2015: 441-456 - [c22]Katja Filippova, Enrique Alfonseca, Carlos A. Colmenares, Lukasz Kaiser, Oriol Vinyals:
Sentence Compression by Deletion with LSTMs. EMNLP 2015: 360-368 - [c21]Erich Grädel, Wied Pakusa, Svenja Schalthöfer, Lukasz Kaiser:
Characterising Choiceless Polynomial Time with First-Order Interpretations. LICS 2015: 677-688 - [c20]Oriol Vinyals, Lukasz Kaiser, Terry Koo, Slav Petrov, Ilya Sutskever, Geoffrey E. Hinton:
Grammar as a Foreign Language. NIPS 2015: 2773-2781 - [c19]Saeed Akhoondian Amiri, Lukasz Kaiser, Stephan Kreutzer, Roman Rabinovich, Sebastian Siebertz:
Graph Searching Games and Width Measures for Directed Graphs. STACS 2015: 34-47 - [i5]Arvind Neelakantan, Luke Vilnis, Quoc V. Le, Ilya Sutskever, Lukasz Kaiser, Karol Kurach, James Martens:
Adding Gradient Noise Improves Learning for Very Deep Networks. CoRR abs/1511.06807 (2015) - 2014
- [j8]Faried Abu Zaid, Erich Grädel, Lukasz Kaiser, Wied Pakusa:
Model-Theoretic Properties of ω-Automatic Structures. Theory Comput. Syst. 55(4): 856-880 (2014) - [c18]Charles Jordan, Lukasz Kaiser, Florian Lonsing, Martina Seidl:
MPIDepQBF: Towards Parallel QBF Solving without Knowledge Sharing. SAT 2014: 430-437 - [i4]Lukasz Kaiser, Stephan Kreutzer, Roman Rabinovich, Sebastian Siebertz:
Directed Width Measures and Monotonicity of Directed Graph Searching. CoRR abs/1408.4745 (2014) - [i3]Oriol Vinyals, Lukasz Kaiser, Terry Koo, Slav Petrov, Ilya Sutskever, Geoffrey E. Hinton:
Grammar as a Foreign Language. CoRR abs/1412.7449 (2014) - 2013
- [c17]Charles Jordan, Lukasz Kaiser:
Experiments with Reduction Finding. SAT 2013: 192-207 - 2012
- [j7]Michael Holtmann, Lukasz Kaiser, Wolfgang Thomas:
Degrees of Lookahead in Regular Infinite Games. Log. Methods Comput. Sci. 8(3) (2012) - [j6]Diana Fischer, Lukasz Kaiser:
Model Checking the Quantitative mu-Calculus on Linear Hybrid Systems. Log. Methods Comput. Sci. 8(3) (2012) - [j5]Dietmar Berwanger, Erich Grädel, Lukasz Kaiser, Roman Rabinovich:
Entanglement and the complexity of directed graphs. Theor. Comput. Sci. 463: 2-25 (2012) - [c16]Lukasz Kaiser:
Learning Games from Videos Guided by Descriptive Complexity. AAAI 2012: 963-969 - [c15]Lukasz Kaiser, Simon Leßenich:
A Counting Logic for Structure Transition Systems. CSL 2012: 366-380 - [c14]Dietmar Berwanger, Lukasz Kaiser, Simon Leßenich:
Solving Counter Parity Games. MFCS 2012: 160-171 - [c13]Faried Abu Zaid, Erich Grädel, Lukasz Kaiser:
The Field of Reals is not omega-Automatic. STACS 2012: 577-588 - 2011
- [b2]Lukasz Kaiser:
Logic and Games on Automatic Structures - Playing with Quantifiers and Decompositions. Lecture Notes in Computer Science 6810, Springer 2011, ISBN 978-3-642-22806-3, pp. 1-118 - [j4]Vince Bárány, Lukasz Kaiser, Alexander Rabinovich:
Expressing cardinality quantifiers in monadic second-order logic over chains. J. Symb. Log. 76(2): 603-619 (2011) - [c12]Lukasz Kaiser, Lukasz Stafiniak:
First-Order Logic with Counting for General Game Playing. AAAI 2011: 791-796 - [c11]Dietmar Berwanger, Lukasz Kaiser, Bernd Puchala:
A Perfect-Information Construction for Coordination in Games. FSTTCS 2011: 387-398 - [c10]Diana Fischer, Lukasz Kaiser:
Model Checking the Quantitative μ-Calculus on Linear Hybrid Systems. ICALP (2) 2011: 404-415 - 2010
- [j3]Vince Bárány, Lukasz Kaiser, Alexander Moshe Rabinovich:
Expressing Cardinality Quantifiers in Monadic Second-Order Logic over Trees. Fundam. Informaticae 100(1-4): 1-17 (2010) - [j2]Dietmar Berwanger, Lukasz Kaiser:
Information Tracking in Games on Graphs. J. Log. Lang. Inf. 19(4): 395-412 (2010) - [j1]Diana Fischer, Erich Grädel, Lukasz Kaiser:
Model Checking Games for the Quantitative µ-Calculus. Theory Comput. Syst. 47(3): 696-719 (2010) - [c9]Tobias Ganzow, Lukasz Kaiser:
New Algorithm for Weak Monadic Second-Order Logic on Inductive Structures. CSL 2010: 366-380 - [c8]Michael Holtmann, Lukasz Kaiser, Wolfgang Thomas:
Degrees of Lookahead in Regular Infinite Games. FoSSaCS 2010: 252-266
2000 – 2009
- 2009
- [c7]Vince Bárány, Lukasz Kaiser, Alexander Rabinovich:
Cardinality Quantifiers in MLO over Trees. CSL 2009: 117-131 - [c6]Erich Grädel, Lukasz Kaiser, Roman Rabinovich:
Directed Graphs of Entanglement Two. FCT 2009: 169-180 - [c5]Lukasz Kaiser:
Synthesis for Structure Rewriting Systems. MFCS 2009: 415-426 - 2008
- [b1]Lukasz Kaiser:
Logic and games on automatic structures. RWTH Aachen University, Germany, 2008, pp. 1-144 - [c4]Diana Fischer, Erich Grädel, Lukasz Kaiser:
Model Checking Games for the Quantitative µ-Calculus. STACS 2008: 301-312 - [c3]Lukasz Kaiser, Sasha Rubin, Vince Bárány:
Cardinality and counting quantifiers on omega-automatic structures. STACS 2008: 385-396 - [i2]Lukasz Kaiser, Sasha Rubin, Vince Bárány:
Cardinality and counting quantifiers on omega-automatic structures. CoRR abs/0802.2866 (2008) - [i1]Diana Fischer, Erich Grädel, Lukasz Kaiser:
Model Checking Games for the Quantitative mu-Calculus. CoRR abs/0802.2871 (2008) - 2007
- [p1]Lukasz Kaiser:
Program Search as a Path to Artificial General Intelligence. Artificial General Intelligence 2007: 291-326 - 2006
- [c2]Lukasz Kaiser:
Game Quantification on Automatic Structures and Hierarchical Model Checking Games. CSL 2006: 411-425 - 2005
- [c1]Lukasz Kaiser:
Confluence of Right Ground Term Rewriting Systems Is Decidable. FoSSaCS 2005: 470-489
Coauthor Index
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