Eitan Kosman

According to our database, Eitan Kosman authored at least 10 papers between 2021 and 2024.

Collaborative distances:

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

2024

Entropy-Based Uncertainty Modeling for Trajectory Prediction in Autonomous Driving.

Aron Distelzweig, Andreas Look, Eitan Kosman, Faris Janjos, Jörg Wagner, Abhinav Valada

CoRR, 2024

Motion Forecasting via Model-Based Risk Minimization.

Aron Distelzweig, Eitan Kosman, Andreas Look, Faris Janjos, Denesh K. Manivannan, Abhinav Valada

CoRR, 2024

Bosch Street Dataset: A Multi-Modal Dataset with Imaging Radar for Automated Driving.

Karim Armanious, Maurice Quach, Michael Ulrich, Timo Winterling, Johannes Friesen, Sascha Braun, Daniel Jenet, Yuri Feldman, Eitan Kosman, Philipp Rapp, Volker Fischer, Marc Sons, Lukas Kohns, Daniel Eckstein, Daniela Egbert, Simone Letsch, Corinna Voege, Felix Huttner, Alexander Bartler, Robert Maiwald, Yancong Lin, Ulf Rüegg, Claudius Gläser, Bastian Bischoff, Jascha Freess, Karsten Haug, Kathrin Klee, Holger Caesar

CoRR, 2024

Generative Modeling of Graphs via Joint Diffusion of Node and Edge Attributes.

Nimrod Berman, Eitan Kosman, Dotan Di Castro, Omri Azencot

CoRR, 2024

2023

Can you text what is happening? Integrating pre-trained language encoders into trajectory prediction models for autonomous driving.

Ali Keysan, Andreas Look, Eitan Kosman, Gonca Gürsun, Jörg Wagner, Yu Yao, Barbara Rakitsch

CoRR, 2023

2022

Mining Logical Arithmetic Expressions From Proper Representations.

Eitan Kosman, Ilya Kolchinsky, Assaf Schuster

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

LSP: Acceleration of Graph Neural Networks via Locality Sensitive Pruning of Graphs.

Eitan Kosman, Joel Oren, Dotan Di Castro

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

GraphVid: It only Takes a Few Nodes to Understand a Video.

Eitan Kosman, Dotan Di Castro

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

LSP : Acceleration and Regularization of Graph Neural Networks via Locality Sensitive Pruning of Graphs.

Eitan Kosman, Joel Oren, Dotan Di Castro

CoRR, 2021

Vision-Guided Forecasting - Visual Context for Multi-Horizon Time Series Forecasting.

Eitan Kosman, Dotan Di Castro

CoRR, 2021