Eliav Buchnik

According to our database, Eliav Buchnik authored at least 9 papers between 2016 and 2024.

Collaborative distances:

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

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

Bootstrapped Graph Diffusions: Exposing the Power of Nonlinearity.

Eliav Buchnik, Edith Cohen

Proc. ACM Meas. Anal. Comput. Syst., 2018

LSH Microbatches for Stochastic Gradients: Value in Rearrangement.

Eliav Buchnik, Edith Cohen, Avinatan Hassidim, Yossi Matias

CoRR, 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