Eliav Buchnik

According to our database, Eliav Buchnik authored at least 15 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Study of Arterials in the City of Rio De Janeiro for Traffic Coordination.

Ori Rottenstreich, Avishai Zagoury, Eliav Buchnik, Shai Ferster, Tom Kalvari, Dan Karliner, Ron Tsibulsky, Danny Veikherman, Jack Haddad, Dotan Emanuel, Avinatan Hassidim

Proceedings of the 9th International Conference on Models and Technologies for Intelligent Transportation Systems, 2025

Fine-Grained Measurement of Vehicle Delay Fairness.

Ori Rottenstreich, Shai Ferster, Eliav Buchnik, Tom Kalvari, Dan Karliner, Ron Tsibulsky, Danny Veikherman, Avishai Zagoury, Jack Haddad, Dotan Emanuel, Avinatan Hassidim

Proceedings of the 9th International Conference on Models and Technologies for Intelligent Transportation Systems, 2025

An Empirical Study of Time of Day Breakpoints in Traffic Light Plans.

Ori Rottenstreich, Eliav Buchnik, Shai Ferster, Tom Kalvari, Dan Karliner, Danny Veikherman, Avishai Zagoury, Jack Haddad, Dotan Emanuel, Avinatan Hassidim

Proceedings of the 9th International Conference on Models and Technologies for Intelligent Transportation Systems, 2025

Day-of-the-Week Awareness in Time of Day Breakpoints for Traffic Light Plans.

Ori Rottenstreich, Eliav Buchnik, Shai Ferster, Tom Kalvari, Ron Tsibulsky, Danny Veikherman, Avishai Zagoury, Jack Haddad, Dotan Emanuel, Avinatan Hassidim

Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025

Traffic-aware Time of Day Breakpoints for Traffic Light Optimization at Scale with Probe Data.

Ori Rottenstreich, Eliav Buchnik, Shai Ferster, Tom Kalvari, Avishai Zagoury, Jack Haddad, Avinatan Hassidim

Proceedings of the 21st International Conference on Network and Service Management, 2025

2024

Systematic Data Driven Detection of Unintentional Transitions in Traffic Light Plans.

Ori Rottenstreich, Dan Karliner, Eliav Buchnik, Shai Ferster, Tom Kalvari, Omer Litov, Nitzan Tur, Danny Veikherman, Avishai Zagoury, Jack Haddad, Dotan Emanuel, Avinatan Hassidim

Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

Estimating Daily Start Times of Periodic Traffic Light Plans from Traffic Trajectories.

Ori Rottenstreich, Tom Kalvari, Nitzan Tur, Eliav Buchnik, Shai Ferster, Dan Karliner, Omer Litov, Danny Veikherman, Avishai Zagoury, Jack Haddad, Dotan Emanuel, Avinatan Hassidim

Proceedings of the European Control Conference, 2024

Quantitative Approach for Coordination, at Scale, of Signalized Intersection Pairs.

Jack Haddad, Nitzan Tur, Danny Veikherman, Eliav Buchnik, Shai Ferster, Tom Kalvari, Dan Karliner, Omer Litov, Avishai Zagoury, Ori Rottenstreich, Dotan Emanuel, Avinatan Hassidim

Proceedings of the European Control Conference, 2024

Probe-Based Study of Traffic Variability for the Design of Traffic Light Plans.

Ori Rottenstreich, Eliav Buchnik, Shai Ferster, Tom Kalvari, Dan Karliner, Omer Litov, Nitzan Tur, Danny Veikherman, Avishai Zagoury, Jack Haddad, Dotan Emanuel, Avinatan Hassidim

Proceedings of the 16th International Conference on COMmunication Systems & NETworkS, 2024

2022

Acceleration Methods for Graph-Based Machine Learning

Eliav Buchnik

PhD thesis, 2022

2020

Graph Learning with Loss-Guided Training.

Eliav Buchnik, Edith Cohen

Proceedings of the GRADES-NDA'20: Proceedings of the 3rd Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA), 2020

2019

Self-similar Epochs: Value in arrangement.

Eliav Buchnik, Edith Cohen, Avinatan Hassidim, Yossi Matias

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

LSH Microbatches for Stochastic Gradients: Value in Rearrangement.

Eliav Buchnik, Edith Cohen, Avinatan Hassidim, Yossi Matias

CoRR, 2018

Bootstrapped Graph Diffusions: Exposing the Power of Nonlinearity.

Eliav Buchnik, Edith Cohen

Proceedings of the Abstracts of the 2018 ACM International Conference on Measurement and Modeling of Computer Systems, 2018

2016

Reverse Ranking by Graph Structure: Model and Scalable Algorithms.

Eliav Buchnik, Edith Cohen

Proceedings of the 2016 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Science, 2016