Minimal Indices for Successor Search - (Extended Abstract). - Sarel Cohen; Amos Fiat; Moshik Hershcovitch; Haim Kaplan (MFCS, 2013)

Minimal Indices for Successor Search. - Sarel Cohen; Amos Fiat; Moshe Hershcovitch; Haim Kaplan (CoRR, 2013)

Minimal indices for predecessor search. - Sarel Cohen; Amos Fiat; Moshik Hershcovitch; Haim Kaplan (Inf. Comput., 2015)

(1 + ∊)-Approximate f-Sensitive Distance Oracles. - Shiri Chechik; Sarel Cohen; Amos Fiat; Haim Kaplan (SODA, 2017)

Dynamic Matching: Reducing Integral Algorithms to Approximately-Maximal Fractional Algorithms. - Moab Arar; Shiri Chechik; Sarel Cohen; Cliff Stein 001; David Wajc (ICALP, 2018)

An improved algorithm for online machine minimization. - Yossi Azar; Sarel Cohen (Oper. Res. Lett., 2018)

Deterministic Combinatorial Replacement Paths and Distance Sensitivity Oracles. - Noga Alon; Shiri Chechik; Sarel Cohen (ICALP, 2019)

Near Optimal Algorithms For The Single Source Replacement Paths Problem. - Shiri Chechik; Sarel Cohen (SODA, 2019)

ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation. - Sharon Fogel; Hadar Averbuch-Elor; Sarel Cohen; Shai Mazor; Roee Litman (CVPR, 2020)

Distance sensitivity oracles with subcubic preprocessing time and fast query time. - Shiri Chechik; Sarel Cohen (STOC, 2020)

Drug Repurposing Using Link Prediction on Knowledge Graphs with Applications to Non-volatile Memory. - Sarel Cohen; Moshik Hershcovitch; Martin Taraz; Otto Kißig; Andrew Wood; Daniel G. Waddington; Peter Chin 001; Tobias Friedrich 001 (COMPLEX NETWORKS, 2021)

Near-Optimal Deterministic Single-Source Distance Sensitivity Oracles. - Davide Bilò; Sarel Cohen; Tobias Friedrich 001; Martin Schirneck (ESA, 2021)

Non-Volatile Memory Accelerated Geometric Multi-Scale Resolution Analysis. - Andrew Wood; Moshik Hershcovitch; Daniel G. Waddington; Sarel Cohen; Meredith Wolf; Hongjun Suh; Weiyu Zong; Peter Chin 001 (HPEC, 2021)

Space-Efficient Fault-Tolerant Diameter Oracles. - Davide Bilò; Sarel Cohen; Tobias Friedrich 001; Martin Schirneck (MFCS, 2021)

Dynamic and Fault-Tolerant Data-Structures and Algorithms - Sarel Cohen (2021)

Optical character recognition guided image super resolution. - Philipp Hildebrandt; Maximilian Schulze; Sarel Cohen; Vanja Doskoc; Raid Saabni; Tobias Friedrich 001 (DocEng, 2022)

Towards Fast Crash-Consistent Cluster Checkpointing. - Andrew Wood; Moshik Hershcovitch; Ilias Ennmouri; Weiyu Zong; Saurav Chennuri; Sarel Cohen; Swaminathan Sundararaman; Daniel G. Waddington; Sang (Peter) Chin (HPEC, 2022)

Deterministic Sensitivity Oracles for Diameter, Eccentricities and All Pairs Distances. - Davide Bilò; Keerti Choudhary; Sarel Cohen; Tobias Friedrich 001; Martin Schirneck (ICALP, 2022)

What's Wrong with Deep Learning in Tree Search for Combinatorial Optimization. - Maximilian Böther; Otto Kißig; Martin Taraz; Sarel Cohen; Karen Seidel 001; Tobias Friedrich 001 (ICLR, 2022)

Biologically Plausible Complex-Valued Neural Networks and Model Optimization. - Ryan Yu; Andrew Wood; Sarel Cohen; Moshik Hershcovitch; Daniel G. Waddington; Peter Chin 001 (AIAI (1), 2022)

Fixed-Parameter Sensitivity Oracles. - Davide Bilò; Katrin Casel; Keerti Choudhary; Sarel Cohen; Tobias Friedrich 001; J. A. Gregor Lagodzinski; Martin Schirneck; Simon Wietheger (ITCS, 2022)

PACE Solver Description: Mount Doom - An Exact Solver for Directed Feedback Vertex Set. - Sebastian Angrick; Ben Bals; Katrin Casel; Sarel Cohen; Tobias Friedrich 001; Niko Hastrich; Theresa Hradilak; Davis Issac; Otto Kißig; Jonas Schmidt 002; Leo Wendt (IPEC, 2022)

Accelerated Information Dissemination on Networks with Local and Global Edges. - Sarel Cohen; Philipp Fischbeck; Tobias Friedrich 001; Martin S. Krejca; Thomas Sauerwald (SIROCCO, 2022)

Non-Volatile Memory Accelerated Posterior Estimation. - Andrew Wood; Moshik Hershcovitch; Daniel G. Waddington; Sarel Cohen; Peter Chin 001 (CoRR, 2022)

Deep Distance Sensitivity Oracles. - Davin Jeong; Chau Pham 001; Arnav Bhakta; Sarel Cohen; Maximilian Katzmann; Tobias Friedrich 001; Sang (Peter) Chin (CoRR, 2022)

Fast Feature Selection with Fairness Constraints. - Francesco Quinzan; Rajiv Khanna; Moshik Hershcovitch; Sarel Cohen; Daniel G. Waddington; Tobias Friedrich 001; Michael W. Mahoney (AISTATS, 2023)

Learned Approximate Distance Labels for Graphs. - Ikeoluwa Abioye; Allison Gunby-Mann; Xu Wang; Sarel Cohen; Peter Chin 001 (COMPLEX NETWORKS (1), 2023)

Deep Distance Sensitivity Oracles. - Davin Jeong; Allison Gunby-Mann; Sarel Cohen; Maximilian Katzmann; Chau Pham 001; Arnav Bhakta; Tobias Friedrich 001; Peter Chin 001 (COMPLEX NETWORKS (1), 2023)

Beyond Following: Augmenting Bot Detection with the Integration of Behavioral Patterns. - Sebastian Reiche; Sarel Cohen; Kirill Simonov; Tobias Friedrich 001 (COMPLEX NETWORKS (1), 2023)

ANEDA: Adaptable Node Embeddings for Shortest Path Distance Approximation. - Frank Pacini; Allison Gunby-Mann; Sarel Cohen; Peter Chin 001 (HPEC, 2023)

Fault-Tolerant ST-Diameter Oracles. - Davide Bilò; Keerti Choudhary; Sarel Cohen; Tobias Friedrich 001; Simon Krogmann; Martin Schirneck (ICALP, 2023)

Sustainable On-Street Parking Mapping with Deep Learning and Airborne Imagery. - Bashini K. Mahaarachchi; Sarel Cohen; Bodo Bookhagen; Vanja Doskoc; Tobias Friedrich 001 (IDEAL, 2023)

Temporal Network Creation Games. - Davide Bilò; Sarel Cohen; Tobias Friedrich 001; Hans Gawendowicz; Nicolas Klodt; Pascal Lenzner; George Skretas (IJCAI, 2023)

The Common-Neighbors Metric Is Noise-Robust and Reveals Substructures of Real-World Networks. - Sarel Cohen; Philipp Fischbeck; Tobias Friedrich 001; Martin S. Krejca (PAKDD (1), 2023)

Cache Line Deltas Compression. - Daniel Cohen; Sarel Cohen; Dalit Naor; Daniel G. Waddington; Moshik Hershcovitch (SYSTOR, 2023)

Compact Distance Oracles with Large Sensitivity and Low Stretch. - Davide Bilò; Keerti Choudhary; Sarel Cohen; Tobias Friedrich 001; Simon Krogmann; Martin Schirneck (WADS, 2023)

Solving Directed Feedback Vertex Set by Iterative Reduction to Vertex Cover. - Sebastian Angrick; Ben Bals; Katrin Casel; Sarel Cohen; Tobias Friedrich 001; Niko Hastrich; Theresa Hradilak; Davis Issac; Otto Kißig; Jonas Schmidt 002; Leo Wendt (SEA, 2023)

Improved Approximate Distance Oracles: Bypassing the Thorup-Zwick Bound in Dense Graphs. - Davide Bilò; Shiri Chechik; Keerti Choudhary; Sarel Cohen; Tobias Friedrich 001; Martin Schirneck (CoRR, 2023)

Predicting the Closing Cross Auction Results at the NASDAQ Stock Exchange. - Sarel Cohen; Manuel Hettich; Philipp Bielefeld; Crispin Schomers; Tobias Friedrich 001 (ESANN, 2024)

Improved Distance (Sensitivity) Oracles with Subquadratic Space. - Davide Bilò; Shiri Chechik; Keerti Choudhary; Sarel Cohen; Tobias Friedrich 001; Martin Schirneck (FOCS, 2024)

Dictionary Based Cache Line Compression. - Daniel Cohen; Sarel Cohen; Dalit Naor; Daniel G. Waddington; Moshik Hershcovitch (HotStorage, 2024)

Detecting Continuous Gravitational Waves Using Generated Training Data. - Judith Herrmann; Raphael Kunert; Ron Hachmon; Aviv Markus; Allison Gunby-Mann; Sarel Cohen; Tobias Friedrich 001; Peter Chin 001 (ICASSP, 2024)

A Contraction Tree SAT Encoding for Computing Twin-Width. - Yinon Horev; Shiraz Shay; Sarel Cohen; Tobias Friedrich 001; Davis Issac; Lior Kamma; Aikaterini Niklanovits; Kirill Simonov (PAKDD (2), 2024)

A New Approach for Approximating Directed Rooted Networks. - Sarel Cohen; Lior Kamma; Aikaterini Niklanovits (WG, 2024)

Robust Parameter Fitting to Realistic Network Models via Iterative Stochastic Approximation. - Thomas Bläsius; Sarel Cohen; Philipp Fischbeck; Tobias Friedrich 001; Martin S. Krejca (CoRR, 2024)

Approximate Distance Sensitivity Oracles in Subquadratic Space. - Davide Bilò; Shiri Chechik; Keerti Choudhary; Sarel Cohen; Tobias Friedrich 001; Simon Krogmann; Martin Schirneck (TheoretiCS, 2024)

Robust Parameter Fitting to Realistic Network Models via Iterative Stochastic Approximation (Data and Code). - Thomas Bläsius; Sarel Cohen; Philipp Fischbeck; Tobias Friedrich 001; Martin S. Krejca (Zenodo, 2024)

Integrating higher-order relations for enhanced twitter bot detection. - Sebastian Reiche; Sarel Cohen; Kirill Simonov; Tobias Friedrich 001 (Soc. Netw. Anal. Min., 2024)

Efficient Fault-Tolerant Search by Fast Indexing of Subnetworks. - Davide Bilò; Keerti Choudhary; Sarel Cohen; Tobias Friedrich 001; Martin Schirneck (AAAI, 2025)

Temporal Network Creation Games: The Impact of Non-Locality and Terminals. - Davide Bilò; Sarel Cohen; Tobias Friedrich 001; Hans Gawendowicz; Nicolas Klodt; Pascal Lenzner; George Skretas (AAMAS, 2025)

Teaching Wav2Vec2 the Language of the Brain. - Tobias Fiedler; Leon Hermann; Florian Müller 018; Sarel Cohen; Sang (Peter) Chin; Tobias Friedrich 001; Eilon Vaadia (CoRR, 2025)