Vision-Guided Forecasting - Visual Context for Multi-Horizon Time Series Forecasting. - Eitan Kosman; Dotan Di Castro (CoRR, 2021)

LSP : Acceleration and Regularization of Graph Neural Networks via Locality Sensitive Pruning of Graphs. - Eitan Kosman; Joel Oren; Dotan Di Castro (CoRR, 2021)

GraphVid: It only Takes a Few Nodes to Understand a Video. - Eitan Kosman; Dotan Di Castro (ECCV (35), 2022)

LSP: Acceleration of Graph Neural Networks via Locality Sensitive Pruning of Graphs. - Eitan Kosman; Joel Oren; Dotan Di Castro (ICDM (Workshops), 2022)

Mining Logical Arithmetic Expressions From Proper Representations. - Eitan Kosman; Ilya Kolchinsky; Assaf Schuster (SDM, 2022)

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)

Generative Modeling of Graphs via Joint Diffusion of Node and Edge Attributes. - Nimrod Berman; Eitan Kosman; Dotan Di Castro; Omri Azencot (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 003; Marc Sons; et al. (CoRR, 2024)

Motion Forecasting via Model-Based Risk Minimization. - Aron Distelzweig; Eitan Kosman; Andreas Look; Faris Janjos; Denesh K. Manivannan; Abhinav Valada (CoRR, 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)

Reviving Life on the Edge: Joint Score-Based Graph Generation of Rich Edge Attributes. - Nimrod Berman; Eitan Kosman; Dotan Di Castro; Omri Azencot (Trans. Mach. Learn. Res., 2025)