Traffic4cast at NeurIPS 2022 -- Predict Dynamics along Graph Edges from Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle Detectors

1 code implementation • 14 Mar 2023 • Moritz Neun, Christian Eichenberger, Henry Martin, Markus Spanring, Rahul Siripurapu, Daniel Springer, Leyan Deng, Chenwang Wu, Defu Lian, Min Zhou, Martin Lumiste, Andrei Ilie, Xinhua Wu, Cheng Lyu, Qing-Long Lu, Vishal Mahajan, Yichao Lu, Jiezhang Li, Junjun Li, Yue-Jiao Gong, Florian Grötschla, Joël Mathys, Ye Wei, He Haitao, Hui Fang, Kevin Malm, Fei Tang, Michael Kopp, David Kreil, Sepp Hochreiter

We only provide vehicle count data from spatially sparse stationary vehicle detectors in these three cities as model input for this task.

Large scale traffic forecasting with gradient boosting, Traffic4cast 2022 challenge

1 code implementation • 31 Oct 2022 • Martin Lumiste, Andrei Ilie

Accurate traffic forecasting is of the utmost importance for optimal travel planning and for efficient city mobility.

Traffic Prediction

EvoBA: An Evolution Strategy as a Strong Baseline forBlack-Box Adversarial Attacks

1 code implementation • 12 Jul 2021 • Andrei Ilie, Marius Popescu, Alin Stefanescu

We propose $\textbf{EvoBA}$ as a query-efficient $L_0$ black-box adversarial attack which, together with the aforementioned methods, can serve as a generic tool to assess the empirical robustness of image classifiers.

Adversarial Attack