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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