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ORCIDSarel Cohen
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2020 – today
- 2024
[j4]Sebastian Reiche, Sarel Cohen, Kirill Simonov, Tobias Friedrich:
Integrating higher-order relations for enhanced twitter bot detection. Soc. Netw. Anal. Min. 14(1): 207 (2024)- [j3]Davide Bilò
, Shiri Chechik, Keerti Choudhary, Sarel Cohen, Tobias Friedrich, Simon Krogmann, Martin Schirneck:
Approximate Distance Sensitivity Oracles in Subquadratic Space. TheoretiCS 3 (2024) - [c36]Davide Bilò, Shiri Chechik, Keerti Choudhary, Sarel Cohen, Tobias Friedrich, Martin Schirneck:
Improved Distance (Sensitivity) Oracles with Subquadratic Space. FOCS 2024: 1550-1558 - [c35]Daniel Cohen, Sarel Cohen, Dalit Naor, Daniel G. Waddington, Moshik Hershcovitch:
Dictionary Based Cache Line Compression. HotStorage 2024 - [c34]Judith Herrmann, Raphael Kunert, Ron Hachmon, Aviv Markus, Allison Gunby-Mann, Sarel Cohen, Tobias Friedrich, Peter Chin:
Detecting Continuous Gravitational Waves Using Generated Training Data. ICASSP 2024: 146-150 - [c33]Yinon Horev, Shiraz Shay, Sarel Cohen, Tobias Friedrich, Davis Issac, Lior Kamma, Aikaterini Niklanovits, Kirill Simonov:
A Contraction Tree SAT Encoding for Computing Twin-Width. PAKDD (2) 2024: 444-456 - [d1]Thomas Bläsius, Sarel Cohen, Philipp Fischbeck, Tobias Friedrich, Martin S. Krejca:
Robust Parameter Fitting to Realistic Network Models via Iterative Stochastic Approximation (Data and Code). Zenodo, 2024
- [i21]Thomas Bläsius, Sarel Cohen, Philipp Fischbeck, Tobias Friedrich, Martin S. Krejca:
Robust Parameter Fitting to Realistic Network Models via Iterative Stochastic Approximation. CoRR abs/2402.05534 (2024) - [i20]Sarel Cohen, Lior Kamma, Aikaterini Niklanovits:
A New Approach for Approximating Directed Rooted Networks. CoRR abs/2407.07543 (2024) - [i19]Davide Bilò, Shiri Chechik, Keerti Choudhary, Sarel Cohen, Tobias Friedrich, Martin Schirneck:
Improved Distance (Sensitivity) Oracles with Subquadratic Space. CoRR abs/2408.10014 (2024) - 2023
- [c32]Francesco Quinzan, Rajiv Khanna, Moshik Hershcovitch, Sarel Cohen, Daniel G. Waddington, Tobias Friedrich, Michael W. Mahoney:
Fast Feature Selection with Fairness Constraints. AISTATS 2023: 7800-7823 - [c31]Sebastian Reiche, Sarel Cohen, Kirill Simonov, Tobias Friedrich:
Beyond Following: Augmenting Bot Detection with the Integration of Behavioral Patterns. COMPLEX NETWORKS (1) 2023: 250-259 - [c30]Ikeoluwa Abioye, Allison Gunby-Mann, Xu Wang, Sarel Cohen, Peter Chin:
Learned Approximate Distance Labels for Graphs. COMPLEX NETWORKS (1) 2023: 339-350 - [c29]Davin Jeong, Allison Gunby-Mann, Sarel Cohen, Maximilian Katzmann, Chau Pham, Arnav Bhakta, Tobias Friedrich, Peter Chin:
Deep Distance Sensitivity Oracles. COMPLEX NETWORKS (1) 2023: 452-463 - [c28]Frank Pacini, Allison Gunby-Mann, Sarel Cohen, Peter Chin:
ANEDA: Adaptable Node Embeddings for Shortest Path Distance Approximation. HPEC 2023: 1-7 - [c27]Davide Bilò, Keerti Choudhary, Sarel Cohen, Tobias Friedrich, Simon Krogmann, Martin Schirneck:
Fault-Tolerant ST-Diameter Oracles. ICALP 2023: 24:1-24:20 - [c26]Bashini K. Mahaarachchi, Sarel Cohen, Bodo Bookhagen, Vanja Doskoc, Tobias Friedrich:
Sustainable On-Street Parking Mapping with Deep Learning and Airborne Imagery. IDEAL 2023: 209-221 - [c25]Davide Bilò, Sarel Cohen, Tobias Friedrich, Hans Gawendowicz, Nicolas Klodt, Pascal Lenzner, George Skretas:
Temporal Network Creation Games. IJCAI 2023: 2511-2519 - [c24]Sarel Cohen, Philipp Fischbeck, Tobias Friedrich, Martin S. Krejca:
The Common-Neighbors Metric Is Noise-Robust and Reveals Substructures of Real-World Networks. PAKDD (1) 2023: 67-79 - [c23]Davide Bilò, Shiri Chechik, Keerti Choudhary, Sarel Cohen, Tobias Friedrich, Simon Krogmann, Martin Schirneck:
Approximate Distance Sensitivity Oracles in Subquadratic Space. STOC 2023: 1396-1409 - [c22]Daniel Cohen, Sarel Cohen, Dalit Naor, Daniel G. Waddington, Moshik Hershcovitch:
Cache Line Deltas Compression. SYSTOR 2023: 145 - [c21]Davide Bilò, Keerti Choudhary, Sarel Cohen, Tobias Friedrich, Simon Krogmann, Martin Schirneck:
Compact Distance Oracles with Large Sensitivity and Low Stretch. WADS 2023: 149-163 - [c20]Sebastian Angrick, Ben Bals, Katrin Casel, Sarel Cohen, Tobias Friedrich, Niko Hastrich, Theresa Hradilak, Davis Issac, Otto Kißig, Jonas Schmidt, Leo Wendt:
Solving Directed Feedback Vertex Set by Iterative Reduction to Vertex Cover. SEA 2023: 10:1-10:14 - [i18]Davide Bilò, Keerti Choudhary, Sarel Cohen, Tobias Friedrich, Simon Krogmann, Martin Schirneck:
Compact Distance Oracles with Large Sensitivity and Low Stretch. CoRR abs/2304.14184 (2023) - [i17]Davide Bilò, Keerti Choudhary, Sarel Cohen, Tobias Friedrich, Simon Krogmann, Martin Schirneck:
Fault-Tolerant ST-Diameter Oracles. CoRR abs/2305.03697 (2023) - [i16]Davide Bilò, Sarel Cohen, Tobias Friedrich, Hans Gawendowicz, Nicolas Klodt, Pascal Lenzner, George Skretas:
Temporal Network Creation Games. CoRR abs/2305.07494 (2023) - [i15]Davide Bilò, Shiri Chechik, Keerti Choudhary, Sarel Cohen, Tobias Friedrich, Simon Krogmann, Martin Schirneck:
Approximate Distance Sensitivity Oracles in Subquadratic Space. CoRR abs/2305.11580 (2023) - [i14]Davide Bilò, Shiri Chechik, Keerti Choudhary, Sarel Cohen, Tobias Friedrich, Martin Schirneck:
Improved Approximate Distance Oracles: Bypassing the Thorup-Zwick Bound in Dense Graphs. CoRR abs/2307.11677 (2023) - 2022
- [c19]Philipp Hildebrandt, Maximilian Schulze, Sarel Cohen, Vanja Doskoc, Raid Saabni, Tobias Friedrich:
Optical character recognition guided image super resolution. DocEng 2022: 14:1-14:4 - [c18]Andrew Wood, Moshik Hershcovitch, Ilias Ennmouri, Weiyu Zong, Saurav Chennuri, Sarel Cohen, Swaminathan Sundararaman, Daniel G. Waddington, Sang (Peter) Chin:
Towards Fast Crash-Consistent Cluster Checkpointing. HPEC 2022: 1-8 - [c17]Davide Bilò, Keerti Choudhary, Sarel Cohen, Tobias Friedrich, Martin Schirneck:
Deterministic Sensitivity Oracles for Diameter, Eccentricities and All Pairs Distances. ICALP 2022: 22:1-22:19 - [c16]Maximilian Böther, Otto Kißig, Martin Taraz, Sarel Cohen, Karen Seidel, Tobias Friedrich:
What's Wrong with Deep Learning in Tree Search for Combinatorial Optimization. ICLR 2022 - [c15]Ryan Yu, Andrew Wood, Sarel Cohen, Moshik Hershcovitch, Daniel G. Waddington, Peter Chin:
Biologically Plausible Complex-Valued Neural Networks and Model Optimization. AIAI (1) 2022: 369-382 - [c14]Davide Bilò, Katrin Casel, Keerti Choudhary, Sarel Cohen, Tobias Friedrich, J. A. Gregor Lagodzinski, Martin Schirneck, Simon Wietheger:
Fixed-Parameter Sensitivity Oracles. ITCS 2022: 23:1-23:18 - [c13]Sebastian Angrick, Ben Bals, Katrin Casel, Sarel Cohen, Tobias Friedrich, Niko Hastrich, Theresa Hradilak, Davis Issac, Otto Kißig, Jonas Schmidt, Leo Wendt:
PACE Solver Description: Mount Doom - An Exact Solver for Directed Feedback Vertex Set. IPEC 2022: 28:1-28:4 - [c12]Sarel Cohen, Philipp Fischbeck, Tobias Friedrich, Martin S. Krejca, Thomas Sauerwald:
Accelerated Information Dissemination on Networks with Local and Global Edges. SIROCCO 2022: 79-97 - [i13]Maximilian Böther, Otto Kißig, Martin Taraz, Sarel Cohen, Karen Seidel, Tobias Friedrich:
What's Wrong with Deep Learning in Tree Search for Combinatorial Optimization. CoRR abs/2201.10494 (2022) - [i12]Andrew Wood, Moshik Hershcovitch, Daniel G. Waddington, Sarel Cohen, Peter Chin:
Non-Volatile Memory Accelerated Posterior Estimation. CoRR abs/2202.10522 (2022) - [i11]Andrew Wood, Moshik Hershcovitch, Daniel G. Waddington, Sarel Cohen, Meredith Wolf, Hongjun Suh, Weiyu Zong, Peter Chin:
Non-Volatile Memory Accelerated Geometric Multi-Scale Resolution Analysis. CoRR abs/2202.11518 (2022) - [i10]Francesco Quinzan, Rajiv Khanna, Moshik Hershcovitch, Sarel Cohen, Daniel G. Waddington, Tobias Friedrich, Michael W. Mahoney:
Fast Feature Selection with Fairness Constraints. CoRR abs/2202.13718 (2022) - [i9]Davide Bilò, Keerti Choudhary, Sarel Cohen, Tobias Friedrich, Martin Schirneck:
Deterministic Sensitivity Oracles for Diameter, Eccentricities and All Pairs Distances. CoRR abs/2204.10679 (2022) - [i8]Davin Jeong, Chau Pham, Arnav Bhakta, Sarel Cohen, Maximilian Katzmann, Tobias Friedrich, Sang (Peter) Chin:
Deep Distance Sensitivity Oracles. CoRR abs/2211.02681 (2022) - 2021
- [b1]Sarel Cohen:
Dynamic and Fault-Tolerant Data-Structures and Algorithms. Tel Aviv University, Israel, 2021 - [c11]Sarel Cohen, Moshik Hershcovitch, Martin Taraz, Otto Kißig, Andrew Wood, Daniel G. Waddington, Peter Chin, Tobias Friedrich:
Drug Repurposing Using Link Prediction on Knowledge Graphs with Applications to Non-volatile Memory. COMPLEX NETWORKS 2021: 742-753 - [c10]Davide Bilò, Sarel Cohen, Tobias Friedrich, Martin Schirneck:
Near-Optimal Deterministic Single-Source Distance Sensitivity Oracles. ESA 2021: 18:1-18:17 - [c9]Andrew Wood, Moshik Hershcovitch, Daniel G. Waddington, Sarel Cohen, Meredith Wolf, Hongjun Suh, Weiyu Zong, Peter Chin:
Non-Volatile Memory Accelerated Geometric Multi-Scale Resolution Analysis. HPEC 2021: 1-7 - [c8]Davide Bilò, Sarel Cohen, Tobias Friedrich, Martin Schirneck:
Space-Efficient Fault-Tolerant Diameter Oracles. MFCS 2021: 18:1-18:16 - [i7]Davide Bilò, Sarel Cohen, Tobias Friedrich, Martin Schirneck:
Near-Optimal Deterministic Single-Source Distance Sensitivity Oracles. CoRR abs/2106.15731 (2021) - [i6]Davide Bilò, Sarel Cohen, Tobias Friedrich, Martin Schirneck:
Space-Efficient Fault-Tolerant Diameter Oracles. CoRR abs/2107.03485 (2021) - [i5]Davide Bilò, Katrin Casel, Keerti Choudhary, Sarel Cohen, Tobias Friedrich, J. A. Gregor Lagodzinski, Martin Schirneck, Simon Wietheger:
Fixed-Parameter Sensitivity Oracles. CoRR abs/2112.03059 (2021) - 2020
- [c7]Sharon Fogel, Hadar Averbuch-Elor, Sarel Cohen, Shai Mazor, Roee Litman:
ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation. CVPR 2020: 4323-4332 - [c6]Shiri Chechik, Sarel Cohen:
Distance sensitivity oracles with subcubic preprocessing time and fast query time. STOC 2020: 1375-1388 - [i4]Sharon Fogel, Hadar Averbuch-Elor, Sarel Cohen, Shai Mazor, Roee Litman:
ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation. CoRR abs/2003.10557 (2020)
2010 – 2019
- 2019
- [c5]Noga Alon, Shiri Chechik, Sarel Cohen:
Deterministic Combinatorial Replacement Paths and Distance Sensitivity Oracles. ICALP 2019: 12:1-12:14 - [c4]Shiri Chechik, Sarel Cohen:
Near Optimal Algorithms For The Single Source Replacement Paths Problem. SODA 2019: 2090-2109 - [i3]Noga Alon, Shiri Chechik, Sarel Cohen:
Deterministic Combinatorial Replacement Paths and Distance Sensitivity Oracles. CoRR abs/1905.07483 (2019) - 2018
- [j2]Yossi Azar, Sarel Cohen:
An improved algorithm for online machine minimization. Oper. Res. Lett. 46(1): 128-133 (2018) - [c3]Moab Arar, Shiri Chechik, Sarel Cohen, Cliff Stein, David Wajc:
Dynamic Matching: Reducing Integral Algorithms to Approximately-Maximal Fractional Algorithms. ICALP 2018: 7:1-7:16 - 2017
- [c2]Shiri Chechik, Sarel Cohen, Amos Fiat, Haim Kaplan:
(1 + ∊)-Approximate f-Sensitive Distance Oracles. SODA 2017: 1479-1496 - [i2]Moab Arar, Shiri Chechik, Sarel Cohen, Cliff Stein, David Wajc:
Dynamic Matching: Reducing Integral Algorithms to Approximately-Maximal Fractional Algorithms. CoRR abs/1711.06625 (2017) - 2015
- [j1]Sarel Cohen, Amos Fiat, Moshik Hershcovitch, Haim Kaplan:
Minimal indices for predecessor search. Inf. Comput. 240: 12-30 (2015) - 2013
- [c1]Sarel Cohen, Amos Fiat, Moshik Hershcovitch, Haim Kaplan:
Minimal Indices for Successor Search - (Extended Abstract). MFCS 2013: 278-289 - [i1]Sarel Cohen, Amos Fiat, Moshe Hershcovitch, Haim Kaplan:
Minimal Indices for Successor Search. CoRR abs/1306.3772 (2013)
Coauthor Index
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last updated on 2024-12-10 21:47 CET by the dblp team
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