Eliav Buchnik - RankMe

19 papers A* 2B 1Misc 1Journal 5Unranked 9

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	An Empirical Study of Time of Day Breakpoints in Traffic Light Plans. MT-ITS Ori Rottenstreich, Eliav Buchnik, Shai Ferster, Tom Kalvari, Dan Karliner, Danny Veikherman, Avishai Zagoury, Jack Haddad, Dotan Emanuel, Avinatan Hassidim
2025	—	`conf`	Day-of-the-Week Awareness in Time of Day Breakpoints for Traffic Light Plans. ITSC Ori Rottenstreich, Eliav Buchnik, Shai Ferster, Tom Kalvari, Ron Tsibulsky, Danny Veikherman, Avishai Zagoury, Jack Haddad, Dotan Emanuel, Avinatan Hassidim
2025	—	`conf`	Fine-Grained Measurement of Vehicle Delay Fairness. MT-ITS Ori Rottenstreich, Shai Ferster, Eliav Buchnik, Tom Kalvari, Dan Karliner, Ron Tsibulsky, Danny Veikherman, Avishai Zagoury, Jack Haddad, Dotan Emanuel, Avinatan Hassidim
2025	—	`conf`	Study of Arterials in the City of Rio De Janeiro for Traffic Coordination. MT-ITS Ori Rottenstreich, Avishai Zagoury, Eliav Buchnik, Shai Ferster, Tom Kalvari, Dan Karliner, Ron Tsibulsky, Danny Veikherman, Jack Haddad, Dotan Emanuel, Avinatan Hassidim
2025	B	`conf`	Traffic-aware Time of Day Breakpoints for Traffic Light Optimization at Scale with Probe Data. CNSM Ori Rottenstreich, Eliav Buchnik, Shai Ferster, Tom Kalvari, Avishai Zagoury, Jack Haddad, Avinatan Hassidim
2024	—	`conf`	Estimating Daily Start Times of Periodic Traffic Light Plans from Traffic Trajectories. ECC Ori Rottenstreich, Tom Kalvari, Nitzan Tur, Eliav Buchnik, Shai Ferster, Dan Karliner, Omer Litov, Danny Veikherman, Avishai Zagoury, Jack Haddad, Dotan Emanuel, Avinatan Hassidim
2024	Misc	`conf`	Probe-Based Study of Traffic Variability for the Design of Traffic Light Plans. COMSNETS Ori Rottenstreich, Eliav Buchnik, Shai Ferster, Tom Kalvari, Dan Karliner, Omer Litov, Nitzan Tur, Danny Veikherman, Avishai Zagoury, Jack Haddad, Dotan Emanuel, Avinatan Hassidim
2024	—	`conf`	Quantitative Approach for Coordination, at Scale, of Signalized Intersection Pairs. ECC Jack Haddad, Nitzan Tur, Danny Veikherman, Eliav Buchnik, Shai Ferster, Tom Kalvari, Dan Karliner, Omer Litov, Avishai Zagoury, Ori Rottenstreich, Dotan Emanuel, Avinatan Hassidim
2024	—	`conf`	Systematic Data Driven Detection of Unintentional Transitions in Traffic Light Plans. ITSC Ori Rottenstreich, Dan Karliner, Eliav Buchnik, Shai Ferster, Tom Kalvari, Omer Litov, Nitzan Tur, Danny Veikherman, Avishai Zagoury, Jack Haddad, Dotan Emanuel, Avinatan Hassidim
2022	—	`—`	Acceleration Methods for Graph-Based Machine Learning Eliav Buchnik
2020	—	`conf`	Graph Learning with Loss-Guided Training. GRADES-NDA@SIGMOD Eliav Buchnik, Edith Cohen
2020	J	`jnl`	Graph Learning with Loss-Guided Training. CoRR Eliav Buchnik, Edith Cohen
2019	A*	`conf`	Self-similar Epochs: Value in arrangement. ICML Eliav Buchnik, Edith Cohen, Avinatan Hassidim, Yossi Matias
2018	—	`conf`	Bootstrapped Graph Diffusions: Exposing the Power of Nonlinearity. SIGMETRICS (Abstracts) Eliav Buchnik, Edith Cohen
2018	J	`jnl`	Bootstrapped Graph Diffusions: Exposing the Power of Nonlinearity. Proc. ACM Meas. Anal. Comput. Syst. Eliav Buchnik, Edith Cohen
2018	J	`jnl`	LSH Microbatches for Stochastic Gradients: Value in Rearrangement. CoRR Eliav Buchnik, Edith Cohen, Avinatan Hassidim, Yossi Matias
2017	J	`jnl`	Bootstrapped Graph Diffusions: Exposing the Power of Nonlinearity. CoRR Eliav Buchnik, Edith Cohen
2016	A*	`conf`	Reverse Ranking by Graph Structure: Model and Scalable Algorithms. SIGMETRICS Eliav Buchnik, Edith Cohen
2015	J	`jnl`	Reverse Ranking by Graph Structure: Model and Scalable Algorithms. CoRR Eliav Buchnik, Edith Cohen