Di Castro, Dotan

17 publications

TMLR 2025 Reviving Life on the Edge: Joint Score-Based Graph Generation of Rich Edge Attributes Nimrod Berman, Eitan Kosman, Dotan Di Castro, Omri Azencot
WACV 2025 Robot Instance Segmentation with Few Annotations for Grasping Moshe Kimhi, David Vainshtein, Chaim Baskin, Dotan Di Castro
NeurIPS 2025 Towards General Modality Translation with Contrastive and Predictive Latent Diffusion Bridge Nimrod Berman, Omkar Joglekar, Eitan Kosman, Dotan Di Castro, Omri Azencot
NeurIPSW 2024 Adapter to Facilitate Foundation Model Communication for DLO Instance Segmentation Omkar Joglekar, Shir Kozlovsky, Dotan Di Castro
ICLRW 2024 Towards Natural Language-Driven Industrial Assembly Using Foundation Models Omkar Joglekar, Shir Kozlovsky, Tal Lancewicki, Vladimir Tchuiev, Zohar Feldman, Dotan Di Castro
ICLRW 2023 PDExplain: Contextual Modeling of PDEs in the Wild Ori Linial, Orly Avner, Dotan Di Castro
ICML 2022 Analysis of Stochastic Processes Through Replay Buffers Shirli Di-Castro, Shie Mannor, Dotan Di Castro
ECCV 2022 GraphVid: It Only Takes a Few Nodes to Understand a Video Eitan Kosman, Dotan Di Castro
ECCVW 2022 Towards Autonomous Grading in the Real World Yakov Miron, Yuval Goldfracht, Dotan Di Castro
NeurIPS 2021 Sim and Real: Better Together Shirli Di-Castro, Dotan Di Castro, Shie Mannor
JMLR 2016 Learning the Variance of the Reward-to-Go Aviv Tamar, Dotan Di Castro, Shie Mannor
ICML 2013 Temporal Difference Methods for the Variance of the Reward to Go Aviv Tamar, Dotan Di Castro, Shie Mannor
JMLR 2012 Integrating a Partial Model into Model Free Reinforcement Learning Aviv Tamar, Dotan Di Castro, Ron Meir
ICML 2012 Policy Gradients with Variance Related Risk Criteria Dotan Di Castro, Aviv Tamar, Shie Mannor
ICML 2011 Integrating Partial Model Knowledge in Model Free RL Algorithms Aviv Tamar, Dotan Di Castro, Ron Meir
JMLR 2010 A Convergent Online Single Time Scale Actor Critic Algorithm Dotan Di Castro, Ron Meir
ECML-PKDD 2010 Adaptive Bases for Reinforcement Learning Dotan Di Castro, Shie Mannor