2025
N Berman, O Joglekar, E Kosman, D Di Castro, O Azencot. Towards General Modality Translation with Contrastive and Predictive Latent Diffusion Bridge. NeurIPS 2025
Distelzweig et al. Stochasticity in Motion: An Information-Theoretic Approach to Trajectory Prediction. IROS2025
Distelzweig et al. Motion Forecasting via Model-Based Risk Minimization. ICRA2025
2024
N Berman, E Kosman, D Di Castro, O Azencot. Reviving Life on the Edge: Joint Score-Based Graph Generation of Rich Edge Attributes. TMLR 2024
Armanious et al. Bosch Street Dataset: A Multi-Modal Dataset with Imaging Radar for Automated Driving. arXiv preprint
2023
A Keysan, A Look, E Kosman, G Gürsun, J Wagner, Y Yu, B Rakitsch. Can you text what is happening? Integrating pre-trained language encoders into trajectory prediction models for autonomous driving. Agents4AD workshop, IROS 2023
2022
E Kosman, D Di Castro. GraphVid : It Only Takes a Few Nodes to Understand a Video. European Conference on Computer Vision, 2022 (ECCV2022, Oral)
E Kosman, I Kolchinsky, A Schuster. Mining Mathematical Expressions From Proper Representations. SIAM International Conference on Data Mining (SDM2022)
R Rousso, N Katz, G Sharon, Y Glizerin, E Kosman, A Schuster. Automatic Recognition of Oil Spills Using Neural Networks and Classic Image Processing. Water, Oceans and Coastal Zones, MDPI
2021
E Kosman, J Oren, D Di Castro. LSP : Acceleration and Regularization of Graph Neural Networks via Locality Sensitive Pruning of Graphs. MLoG Workshop, ICDM 2022
E Kosman, D Di Castro. Vision-Guided Forecasting – Visual Context for Multi-Horizon Time Series Forecasting. ICCV 2021, The ROAD challenge & SRVU Workshop