Eitan Kosman

15 papers A* 1A 2Journal 10Unranked 2
YearRankTypeTitle / Venue / Authors
2025 A* conf
Motion Forecasting via Model-Based Risk Minimization.
ICRA
Aron Distelzweig, Eitan Kosman, Andreas Look, Faris Janjos, Denesh K. Manivannan, Abhinav Valada
2025 J jnl
Reviving Life on the Edge: Joint Score-Based Graph Generation of Rich Edge Attributes.
Trans. Mach. Learn. Res.
Nimrod Berman, Eitan Kosman, Dotan Di Castro, Omri Azencot
2025 A conf
Stochasticity in Motion: An Information-Theoretic Approach to Trajectory Prediction.
IROS
Aron Distelzweig, Andreas Look, Eitan Kosman, Faris Janjos, Jörg Wagner, Abhinav Valada
2025 J jnl
Towards General Modality Translation with Contrastive and Predictive Latent Diffusion Bridge.
CoRR
Nimrod Berman, Omkar Joglekar, Eitan Kosman, Dotan Di Castro, Omri Azencot
2024 J jnl
Bosch Street Dataset: A Multi-Modal Dataset with Imaging Radar for Automated Driving.
CoRR
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
2024 J jnl
Entropy-Based Uncertainty Modeling for Trajectory Prediction in Autonomous Driving.
CoRR
Aron Distelzweig, Andreas Look, Eitan Kosman, Faris Janjos, Jörg Wagner, Abhinav Valada
2024 J jnl
Generative Modeling of Graphs via Joint Diffusion of Node and Edge Attributes.
CoRR
Nimrod Berman, Eitan Kosman, Dotan Di Castro, Omri Azencot
2024 J jnl
Motion Forecasting via Model-Based Risk Minimization.
CoRR
Aron Distelzweig, Eitan Kosman, Andreas Look, Faris Janjos, Denesh K. Manivannan, Abhinav Valada
2023 J jnl
Can you text what is happening? Integrating pre-trained language encoders into trajectory prediction models for autonomous driving.
CoRR
Ali Keysan, Andreas Look, Eitan Kosman, Gonca Gürsun, Jörg Wagner, Yu Yao, Barbara Rakitsch
2022 J jnl
GraphVid: It Only Takes a Few Nodes to Understand a Video.
CoRR
Eitan Kosman, Dotan Di Castro
2022 — conf
GraphVid: It only Takes a Few Nodes to Understand a Video.
ECCV (35)
Eitan Kosman, Dotan Di Castro
2022 — conf
LSP: Acceleration of Graph Neural Networks via Locality Sensitive Pruning of Graphs.
ICDM (Workshops)
Eitan Kosman, Joel Oren, Dotan Di Castro
2022 A conf
Mining Logical Arithmetic Expressions From Proper Representations.
SDM
Eitan Kosman, Ilya Kolchinsky, Assaf Schuster
2021 J jnl
LSP : Acceleration and Regularization of Graph Neural Networks via Locality Sensitive Pruning of Graphs.
CoRR
Eitan Kosman, Joel Oren, Dotan Di Castro
2021 J jnl
Vision-Guided Forecasting - Visual Context for Multi-Horizon Time Series Forecasting.
CoRR
Eitan Kosman, Dotan Di Castro