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210 Publications


2021 | Published | Conference Paper | IST-REx-ID: 9210 | OA
Volhejn V, Lampert C. Does SGD implicitly optimize for smoothness? In: 42nd German Conference on Pattern Recognition. Vol 12544. LNCS. Springer; 2021:246-259. doi:10.1007/978-3-030-71278-5_18
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2021 | Published | Conference Paper | IST-REx-ID: 9227
Bloch-Hansen A, Samei N, Solis-Oba R. Experimental evaluation of a local search approximation algorithm for the multiway cut problem. In: Conference on Algorithms and Discrete Applied Mathematics. Vol 12601. Springer Nature; 2021:346-358. doi:10.1007/978-3-030-67899-9_28
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2021 | Published | Conference Paper | IST-REx-ID: 10041 | OA
Kamath Hosdurg C, Klein K, Pietrzak KZ, Wichs D. Limits on the Adaptive Security of Yao’s Garbling. In: 41st Annual International Cryptology Conference, Part II . Vol 12826. Cham: Springer Nature; 2021:486-515. doi:10.1007/978-3-030-84245-1_17
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS
 

2020 | Published | Conference Paper | IST-REx-ID: 18251
Alush-Aben J, Ackerman-Schraier L, Weiss T, Vedula S, Senouf O, Bronstein AM. 3D FLAT: Feasible learned acquisition trajectories for accelerated MRI. In: International Workshop on Machine Learning for Medical Image Reconstruction. Vol 12450. Springer Nature; 2020:3-16. doi:10.1007/978-3-030-61598-7_1
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2020 | Published | Conference Paper | IST-REx-ID: 8623 | OA
Henzinger TA, Sarac NE. Monitorability under assumptions. In: Runtime Verification. Vol 12399. Springer Nature; 2020:3-18. doi:10.1007/978-3-030-60508-7_1
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2020 | Published | Conference Paper | IST-REx-ID: 8195 | OA
Kragl B, Qadeer S, Henzinger TA. Refinement for structured concurrent programs. In: Computer Aided Verification. Vol 12224. Springer Nature; 2020:275-298. doi:10.1007/978-3-030-53288-8_14
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2020 | Published | Conference Paper | IST-REx-ID: 9299 | OA
Pach J, Tardos G, Tóth G. Crossings between non-homotopic edges. In: 28th International Symposium on Graph Drawing and Network Visualization. Vol 12590. LNCS. Springer Nature; 2020:359-371. doi:10.1007/978-3-030-68766-3_28
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2020 | Published | Conference Paper | IST-REx-ID: 7966 | OA
Auerbach B, Giacon F, Kiltz E. Everybody’s a target: Scalability in public-key encryption. In: Advances in Cryptology – EUROCRYPT 2020. Vol 12107. Springer Nature; 2020:475-506. doi:10.1007/978-3-030-45727-3_16
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2020 | Published | Conference Paper | IST-REx-ID: 8732
Arroyo Guevara AM, Klute F, Parada I, Seidel R, Vogtenhuber B, Wiedera T. Inserting one edge into a simple drawing is hard. In: Graph-Theoretic Concepts in Computer Science. Vol 12301. Springer Nature; 2020:325-338. doi:10.1007/978-3-030-60440-0_26
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2020 | Published | Book Chapter | IST-REx-ID: 10865 | OA
Chakraborty S, Prabhakaran M, Wichs D. Witness maps and applications. In: Kiayias A, ed. Public-Key Cryptography. Vol 12110. LNCS. Cham: Springer Nature; 2020:220-246. doi:10.1007/978-3-030-45374-9_8
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2020 | Published | Conference Paper | IST-REx-ID: 8728 | OA
Asadi A, Chatterjee K, Goharshady AK, Mohammadi K, Pavlogiannis A. Faster algorithms for quantitative analysis of MCs and MDPs with small treewidth. In: Automated Technology for Verification and Analysis. Vol 12302. Springer Nature; 2020:253-270. doi:10.1007/978-3-030-59152-6_14
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2019 | Published | Conference Paper | IST-REx-ID: 6163
Biswas R, Largeteau-Skapin G, Zrour R, Andres E. Rhombic dodecahedron grid—coordinate system and 3D digital object definitions. In: 21st IAPR International Conference on Discrete Geometry for Computer Imagery. Vol 11414. Berlin, Heidelberg: Springer Berlin Heidelberg; 2019:27-37. doi:10.1007/978-3-030-14085-4_3
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2019 | Published | Conference Paper | IST-REx-ID: 7228
Koval N, Alistarh D-A, Elizarov R. Scalable FIFO channels for programming via communicating sequential processes. In: 25th Anniversary of Euro-Par. Vol 11725. Springer Nature; 2019:317-333. doi:10.1007/978-3-030-29400-7_23
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2019 | Published | Conference Paper | IST-REx-ID: 18269
Senouf O, Vedula S, Weiss T, Bronstein AM, Michailovich O, Zibulevsky M. Self-supervised learning of inverse problem solvers in medical imaging. In: First MICCAI Workshop, DART 2019, and First International Workshop, MIL3ID 2019. Vol 11795. Springer International Publishing; 2019:111-119. doi:10.1007/978-3-030-33391-1_13
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2019 | Published | Conference Paper | IST-REx-ID: 7147
Guet CC, Henzinger TA, Igler C, Petrov T, Sezgin A. Transient memory in gene regulation. In: 17th International Conference on Computational Methods in Systems Biology. Vol 11773. Springer Nature; 2019:155-187. doi:10.1007/978-3-030-31304-3_9
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2019 | Published | Conference Paper | IST-REx-ID: 7230 | OA
Arroyo Guevara AM, Derka M, Parada I. Extending simple drawings. In: 27th International Symposium on Graph Drawing and Network Visualization. Vol 11904. Springer Nature; 2019:230-243. doi:10.1007/978-3-030-35802-0_18
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 

2019 | Published | Conference Paper | IST-REx-ID: 6482 | OA
Sun R, Lampert C. KS(conf): A light-weight test if a ConvNet operates outside of Its specifications. In: Vol 11269. Springer Nature; 2019:244-259. doi:10.1007/978-3-030-12939-2_18
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 

2019 | Published | Conference Paper | IST-REx-ID: 7159
Ničković D, Qin X, Ferrere T, Mateis C, Deshmukh J. Shape expressions for specifying and extracting signal features. In: 19th International Conference on Runtime Verification. Vol 11757. Springer Nature; 2019:292-309. doi:10.1007/978-3-030-32079-9_17
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2019 | Published | Conference Paper | IST-REx-ID: 6942 | OA
Ashok P, Brázdil T, Chatterjee K, Křetínský J, Lampert C, Toman V. Strategy representation by decision trees with linear classifiers. In: 16th International Conference on Quantitative Evaluation of Systems. Vol 11785. Springer Nature; 2019:109-128. doi:10.1007/978-3-030-30281-8_7
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 

2019 | Published | Conference Paper | IST-REx-ID: 6462 | OA
Avni G, Bloem R, Chatterjee K, Henzinger TA, Konighofer B, Pranger S. Run-time optimization for learned controllers through quantitative games. In: 31st International Conference on Computer-Aided Verification. Vol 11561. Springer; 2019:630-649. doi:10.1007/978-3-030-25540-4_36
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