Dotan Di Castro

According to our database, Dotan Di Castro authored at least 47 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

ISCUTE: Instance Segmentation of Cables Using Text Embedding.

Shir Kozlovsky, Omkar Joglekar, Dotan Di Castro

CoRR, 2024

SQT - std Q-target.

Nitsan Soffair, Dotan Di Castro, Orly Avner, Shie Mannor

CoRR, 2024

Generative Modeling of Graphs via Joint Diffusion of Node and Edge Attributes.

Nimrod Berman, Eitan Kosman, Dotan Di Castro, Omri Azencot

CoRR, 2024

An Axiomatic Approach to Model-Agnostic Concept Explanations.

Zhili Feng, Michal Moshkovitz, Dotan Di Castro, J. Zico Kolter

CoRR, 2024

2023

Autonomous Dozer Sand Grading Under Localization Uncertainties.

Yakov Miron, Yuval Goldfracht, Chana Ross, Dotan Di Castro, Itzik Klein

IEEE Robotics Autom. Lett., 2023

Offline Skill Graph (OSG): A Framework for Learning and Planning using Offline Reinforcement Learning Skills.

Ben-ya Halevy, Yehudit Aperstein, Dotan Di Castro

CoRR, 2023

PDExplain: Contextual Modeling of PDEs in the Wild.

Ori Linial, Orly Avner, Dotan Di Castro

CoRR, 2023

2022

AG2U - Autonomous Grading Under Uncertainties.

Yakov Miron, Yuval Goldfracht, Chana Ross, Dotan Di Castro, Itzik Klein

CoRR, 2022

DUQIM-Net: Probabilistic Object Hierarchy Representation for Multi-View Manipulation.

Vladimir Tchuiev, Yakov Miron, Dotan Di Castro

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Towards Autonomous Grading In The Real World.

Yakov Miron, Chana Ross, Yuval Goldfracht, Chen Tessler, Dotan Di Castro

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

InsertionNet 2.0: Minimal Contact Multi-Step Insertion Using Multimodal Multiview Sensory Input.

Oren Spector, Vladimir Tchuiev, Dotan Di Castro

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

A Hybrid Approach for Learning to Shift and Grasp with Elaborate Motion Primitives.

Zohar Feldman, Hanna Ziesche, Ngo Anh Vien, Dotan Di Castro

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Analysis of Stochastic Processes through Replay Buffers.

Shirli Di-Castro Shashua, Shie Mannor, Dotan Di Castro

Proceedings of the International Conference on Machine Learning, 2022

LSP: Acceleration of Graph Neural Networks via Locality Sensitive Pruning of Graphs.

Eitan Kosman, Joel Oren, Dotan Di Castro

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

Towards Autonomous Grading in the Real World.

Yakov Miron, Yuval Goldfracht, Dotan Di Castro

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

GraphVid: It only Takes a Few Nodes to Understand a Video.

Eitan Kosman, Dotan Di Castro

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

InsertionNet - A Scalable Solution for Insertion.

Oren Spector, Dotan Di Castro

IEEE Robotics Autom. Lett., 2021

AGPNet - Autonomous Grading Policy Network.

Chana Ross, Yakov Miron, Yuval Goldfracht, 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

BIDCD - Bosch Industrial Depth Completion Dataset.

Adam Botach, Yuri Feldman, Yakov Miron, Yoel Shapiro, Dotan Di Castro

CoRR, 2021

Vision-Guided Forecasting - Visual Context for Multi-Horizon Time Series Forecasting.

Eitan Kosman, Dotan Di Castro

CoRR, 2021

SOLO: Search Online, Learn Offline for Combinatorial Optimization Problems.

Joel Oren, Chana Ross, Maksym Lefarov, Felix Richter, Ayal Taitler, Zohar Feldman, Dotan Di Castro, Christian Daniel

Proceedings of the Fourteenth International Symposium on Combinatorial Search, 2021

Sim and Real: Better Together.

Shirli Di-Castro Shashua, Dotan Di Castro, Shie Mannor

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Depth Completion with RGB Prior.

Yuri Feldman, Yoel Shapiro, Dotan Di Castro

CoRR, 2020

2019

Practical Risk Measures in Reinforcement Learning.

Dotan Di Castro, Joel Oren, Shie Mannor

CoRR, 2019

2018

Automated Extractions for Machine Generated Mail.

Dotan Di Castro, Iftah Gamzu, Irena Grabovitch-Zuyev, Liane Lewin-Eytan, Abhinav Pundir, Nil Ratan Sahoo, Michael Viderman

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

2017

Correlated Rounding of Multiple Uniform Matroids and Multi-Label Classification.

Shahar Chen, Dotan Di Castro, Zohar S. Karnin, Liane Lewin-Eytan, Joseph (Seffi) Naor, Roy Schwartz

Proceedings of the 44th International Colloquium on Automata, Languages, and Programming, 2017

2016

Learning the Variance of the Reward-To-Go.

Aviv Tamar, Dotan Di Castro, Shie Mannor

J. Mach. Learn. Res., 2016

One-Shot Session Recommendation Systems with Combinatorial Items.

Yahel David, Dotan Di Castro, Zohar S. Karnin

CoRR, 2016

Enforcing k-anonymity in Web Mail Auditing.

Dotan Di Castro, Liane Lewin-Eytan, Yoelle Maarek, Ran Wolff, Eyal Zohar

Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

You've got Mail, and Here is What you Could do With It!: Analyzing and Predicting Actions on Email Messages.

Dotan Di Castro, Zohar Shay Karnin, Liane Lewin-Eytan, Yoelle Maarek

Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Structural Clustering of Machine-Generated Mail.

Noa Avigdor-Elgrabli, Mark Cwalinski, Dotan Di Castro, Iftah Gamzu, Irena Grabovitch-Zuyev, Liane Lewin-Eytan, Yoelle Maarek

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

Memristor-Based Multilayer Neural Networks With Online Gradient Descent Training.

Daniel Soudry, Dotan Di Castro, Asaf Gal, Avinoam Kolodny, Shahar Kvatinsky

IEEE Trans. Neural Networks Learn. Syst., 2015

Contextual Markov Decision Processes.

Assaf Hallak, Dotan Di Castro, Shie Mannor

CoRR, 2015

2013

Policy Evaluation with Variance Related Risk Criteria in Markov Decision Processes

Aviv Tamar, Dotan Di Castro, Shie Mannor

CoRR, 2013

Model selection in markovian processes.

Assaf Hallak, Dotan Di Castro, Shie Mannor

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Temporal Difference Methods for the Variance of the Reward To Go.

Aviv Tamar, Dotan Di Castro, Shie Mannor

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Integrating a Partial Model into Model Free Reinforcement Learning.

Aviv Tamar, Dotan Di Castro, Ron Meir

J. Mach. Learn. Res., 2012

Policy Gradients with Variance Related Risk Criteria.

Dotan Di Castro, Aviv Tamar, Shie Mannor

Proceedings of the 29th International Conference on Machine Learning, 2012

2011

Bandits with an Edge

Dotan Di Castro, Claudio Gentile, Shie Mannor

CoRR, 2011

Integrating Partial Model Knowledge in Model Free RL Algorithms.

Aviv Tamar, Dotan Di Castro, Ron Meir

Proceedings of the 28th International Conference on Machine Learning, 2011

2010

A Convergent Online Single Time Scale Actor Critic Algorithm.

Dotan Di Castro, Ron Meir

J. Mach. Learn. Res., 2010

Adaptive Bases for Reinforcement Learning.

Dotan Di Castro, Shie Mannor

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Adaptive bases for Q-learning.

Dotan Di Castro, Shie Mannor

Proceedings of the 49th IEEE Conference on Decision and Control, 2010

Tutor learning using linear constraints in approximate dynamic programming.

Dotan Di Castro, Shie Mannor

Proceedings of the 48th Annual Allerton Conference on Communication, 2010

2009

Delays and Oscillations in Networks of Spiking Neurons: A Two-Timescale Analysis.

Dotan Di Castro, Ron Meir, Irad Yavneh

Neural Comput., 2009

2008

Temporal Difference Based Actor Critic Learning - Convergence and Neural Implementation.

Dotan Di Castro, Dmitry Volkinshtein, Ron Meir

Proceedings of the Advances in Neural Information Processing Systems 21, 2008