Guillaume Lagarde 个人学术档案

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	总计	2019 年至今
引用	116	93
h 指数	7	7
i10 指数	4	3

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Nathanaël FijalkowCNRS, LaBRI, Bordeaux, and University of Warsaw在 labri.fr 的电子邮件经过验证
Vincent Cohen-AddadGoogle Research (former CNRS & Sorbonne Université)在 lip6.fr 的电子邮件经过验证
Pierre OhlmannPostdoctoral researcher, University of Warsaw在 mimuw.edu.pl 的电子邮件经过验证
Théo MATRICONPhd Student, LaBRI, Bordeaux University在 labri.fr 的电子邮件经过验证
Kevin EllisCornell在 cornell.edu 的电子邮件经过验证
Srikanth SrinivasanDepartment of Computer Science, University of Copenhagen在 di.ku.dk 的电子邮件经过验证
Nutan LimayeAssociate Professor, Computer Science, IT University of Copenhagen, Denmark在 itu.dk 的电子邮件经过验证
Akarsh PottaUndergrad in Computer Science and Engineering Department at Indian Institute of Technology, Bombay在 iitb.ac.in 的电子邮件经过验证
Dmitry SokolovÉcole Polytechnique Fédérale de Lausanne在 epfl.ch 的电子邮件经过验证
Casey TompkinsAlfréd Rényi Institute of Mathematics, Budapest在 renyi.hu 的电子邮件经过验证
Abhishek MethukuETH Zürich在 math.ethz.ch 的电子邮件经过验证
Jakob NordströmUniversity of Copenhagen and Lund University在 di.ku.dk 的电子邮件经过验证
David MalecPostdoc, Department of Economics, University of Maryland在 umd.edu 的电子邮件经过验证
Johan HåstadProfessor i teoretisk datalogi, KTH在 kth.se 的电子邮件经过验证
Olivier SerreIRIF (Université de Paris & CNRS)在 cnrs.fr 的电子邮件经过验证
Corto MascleLaBRI在 labri.fr 的电子邮件经过验证

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Guillaume Lagarde

LaBRI

在 labri.fr 的电子邮件经过验证 - 首页


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
The complexity of learning linear temporal formulas from examples N Fijalkow, G Lagarde International Conference on Grammatical Inference, 237-250, 2021	27	2021
Non-commutative computations: lower bounds and polynomial identity testing G Lagarde, G Malod, S Perifel Chicago Journal of Theoretical Computer Science 2 (1-19), 10, 2019	19	2019
Lower bounds and PIT for non-commutative arithmetic circuits with restricted parse trees G Lagarde, N Limaye, S Srinivasan computational complexity 28, 471-542, 2019	13	2019
Lempel-Ziv: a “one-bit catastrophe” but not a tragedy G Lagarde, S Perifel Proceedings of the Twenty-Ninth Annual ACM-SIAM Symposium on Discrete …, 2018	13	2018
Scaling neural program synthesis with distribution-based search N Fijalkow, G Lagarde, T Matricon, K Ellis, P Ohlmann, AN Potta Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 6623-6630, 2022	9	2022
Improving ultrametrics embeddings through coresets V Cohen-Addad, RDJ De Verclos, G Lagarde International Conference on Machine Learning, 2060-2068, 2021	8	2021
On efficient low distortion ultrametric embedding V Cohen-Addad, CS Karthik, G Lagarde International Conference on Machine Learning, 2078-2088, 2020	8	2020
Trade-offs between size and degree in polynomial calculus G Lagarde, J Nordström, D Sokolov, J Swernofsky 11th Innovations in Theoretical Computer Science Conference (ITCS 2020), 2020	5	2020
De Bruijn–Erdős-type theorems for graphs and posets P Aboulker, G Lagarde, D Malec, A Methuku, C Tompkins Discrete Mathematics 340 (5), 995-999, 2017	5	2017
Tight bounds using hankel matrix for arithmetic circuits with unique parse trees N Fijalkow, G Lagarde, P Ohlmann Electronic Colloquium on Computational Complexity (ECCC) 25, 38, 2018	3	2018
Lower bounds for arithmetic circuits via the Hankel matrix N Fijalkow, G Lagarde, P Ohlmann, O Serre computational complexity 30, 1-60, 2021	2	2021
-Galvin families J Håstad, G Lagarde, J Swernofsky arXiv preprint arXiv:1901.02652, 2019	2	2019
Learning temporal formulas from examples is hard C Mascle, N Fijalkow, G Lagarde arXiv preprint arXiv:2312.16336, 2023	1	2023
DeepSynth: Scaling Neural Program Synthesis with Distribution-based Search T Matricon, N Fijalkow, G Lagarde, K Ellis Journal of Open Source Software 7 (78), 4151, 2022	1	2022
Improving Ultrametrics Embeddings Through Coresets G Lagarde, RDJ de Verclos, VP Cohen-addad		2021
Contributions to arithmetic complexity and compression G Lagarde Université Sorbonne Paris Cité, 2018		2018

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