Dotan Di Castro

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 45

Top Topics

Markov Decision Process

Locality Sensitive

Top Venues

IEEE Robotics Autom. Lett.

Publications

Mariia Pushkareva, Yuri Feldman, Csaba Domokos, Kilian Rambach, Dotan Di Castro
Radar Spectra-Language Model for Automotive Scene Parsing. CoRR (2024)
Zhili Feng, Michal Moshkovitz, Dotan Di Castro, J. Zico Kolter
An Axiomatic Approach to Model-Agnostic Concept Explanations. CoRR (2024)
Nimrod Berman, Eitan Kosman, Dotan Di Castro, Omri Azencot
Generative Modeling of Graphs via Joint Diffusion of Node and Edge Attributes. CoRR (2024)
Moshe Kimhi, David Vainshtein, Chaim Baskin, Dotan Di Castro
Robot Instance Segmentation with Few Annotations for Grasping. CoRR (2024)
Nitsan Soffair, Dotan Di Castro, Orly Avner, Shie Mannor
SQT - std Q-target. CoRR (2024)
Shir Kozlovsky, Omkar Joglekar, Dotan Di Castro
ISCUTE: Instance Segmentation of Cables Using Text Embedding. CoRR (2024)
Omkar Joglekar, Tal Lancewicki, Shir Kozlovsky, Vladimir Tchuiev, Zohar Feldman, Dotan Di Castro
Towards Natural Language-Driven Assembly Using Foundation Models. CoRR (2024)
Ori Linial, Orly Avner, Dotan Di Castro
CONFIDE: Contextual Finite Difference Modelling of PDEs. KDD (2024)
Ori Linial, Orly Avner, Dotan Di Castro
PDExplain: Contextual Modeling of PDEs in the Wild. CoRR (2023)
Ben-ya Halevy, Yehudit Aperstein, Dotan Di Castro
Offline Skill Graph (OSG): A Framework for Learning and Planning using Offline Reinforcement Learning Skills. CoRR (2023)
Yakov Miron, Yuval Goldfracht, Chana Ross, Dotan Di Castro, Itzik Klein
Autonomous Dozer Sand Grading Under Localization Uncertainties. IEEE Robotics Autom. Lett. 8 (1) (2023)
Shirli Di-Castro Shashua, Shie Mannor, Dotan Di Castro
Analysis of Stochastic Processes through Replay Buffers. ICML (2022)
Vladimir Tchuiev, Yakov Miron, Dotan Di Castro
DUQIM-Net: Probabilistic Object Hierarchy Representation for Multi-View Manipulation. CoRR (2022)
Oren Spector, Vladimir Tchuiev, Dotan Di Castro
InsertionNet 2.0: Minimal Contact Multi-Step Insertion Using Multimodal Multiview Sensory Input. CoRR (2022)
Shirli Di-Castro Shashua, Shie Mannor, Dotan Di Castro
Analysis of Stochastic Processes through Replay Buffers. CoRR (2022)
Eitan Kosman, Dotan Di Castro
GraphVid: It only Takes a Few Nodes to Understand a Video. ECCV (35) (2022)
Zohar Feldman, Hanna Ziesche, Ngo Anh Vien, Dotan Di Castro
A Hybrid Approach for Learning to Shift and Grasp with Elaborate Motion Primitives. ICRA (2022)
Yakov Miron, Chana Ross, Yuval Goldfracht, Chen Tessler, Dotan Di Castro
Towards Autonomous Grading In The Real World. CoRR (2022)
Oren Spector, Vladimir Tchuiev, Dotan Di Castro
InsertionNet 2.0: Minimal Contact Multi-Step Insertion Using Multimodal Multiview Sensory Input. ICRA (2022)
Eitan Kosman, Dotan Di Castro
GraphVid: It Only Takes a Few Nodes to Understand a Video. CoRR (2022)
Vladimir Tchuiev, Yakov Miron, Dotan Di Castro
DUQIM-Net: Probabilistic Object Hierarchy Representation for Multi-View Manipulation. IROS (2022)
Yakov Miron, Yuval Goldfracht, Chana Ross, Dotan Di Castro, Itzik Klein
AG2U - Autonomous Grading Under Uncertainties. CoRR (2022)
Yakov Miron, Yuval Goldfracht, Dotan Di Castro
Towards Autonomous Grading in the Real World. ECCV Workshops (4) (2022)
Eitan Kosman, Joel Oren, Dotan Di Castro
LSP: Acceleration of Graph Neural Networks via Locality Sensitive Pruning of Graphs. ICDM (Workshops) (2022)
Yakov Miron, Chana Ross, Yuval Goldfracht, Chen Tessler, Dotan Di Castro
Towards Autonomous Grading In The Real World. IROS (2022)
Eitan Kosman, Dotan Di Castro
Vision-Guided Forecasting - Visual Context for Multi-Horizon Time Series Forecasting. CoRR (2021)
Joel Oren, Chana Ross, Maksym Lefarov, Felix Richter, Ayal Taitler, Zohar Feldman, Christian Daniel, Dotan Di Castro
SOLO: Search Online, Learn Offline for Combinatorial Optimization Problems. CoRR (2021)
Chana Ross, Yakov Miron, Yuval Goldfracht, Dotan Di Castro
AGPNet - Autonomous Grading Policy Network. CoRR (2021)
Joel Oren, Chana Ross, Maksym Lefarov, Felix Richter, Ayal Taitler, Zohar Feldman, Dotan Di Castro, Christian Daniel
SOLO: Search Online, Learn Offline for Combinatorial Optimization Problems. SOCS (2021)
Shirli Di-Castro Shashua, Dotan Di Castro, Shie Mannor
Sim and Real: Better Together. NeurIPS (2021)
Oren Spector, Dotan Di Castro
InsertionNet - A Scalable Solution for Insertion. CoRR (2021)
Eitan Kosman, Joel Oren, Dotan Di Castro
LSP : Acceleration and Regularization of Graph Neural Networks via Locality Sensitive Pruning of Graphs. CoRR (2021)
Oren Spector, Dotan Di Castro
InsertionNet - A Scalable Solution for Insertion. IEEE Robotics Autom. Lett. 6 (3) (2021)
Shirli Di-Castro Shashua, Dotan Di Castro, Shie Mannor
Sim and Real: Better Together. CoRR (2021)
Zohar Feldman, Hanna Ziesche, Ngo Anh Vien, Dotan Di Castro
A Hybrid Approach for Learning to Shift and Grasp with Elaborate Motion Primitives. CoRR (2021)
Adam Botach, Yuri Feldman, Yakov Miron, Yoel Shapiro, Dotan Di Castro
BIDCD - Bosch Industrial Depth Completion Dataset. CoRR (2021)
Yuri Feldman, Yoel Shapiro, Dotan Di Castro
Depth Completion with RGB Prior. CoRR (2020)
Dotan Di Castro, Joel Oren, Shie Mannor
Practical Risk Measures in Reinforcement Learning. CoRR (2019)
Dotan Di Castro, Iftah Gamzu, Irena Grabovitch-Zuyev, Liane Lewin-Eytan, Abhinav Pundir, Nil Ratan Sahoo, Michael Viderman
Automated Extractions for Machine Generated Mail. WWW (Companion Volume) (2018)
Shahar Chen, Dotan Di Castro, Zohar S. Karnin, Liane Lewin-Eytan, Joseph (Seffi) Naor, Roy Schwartz
Correlated Rounding of Multiple Uniform Matroids and Multi-Label Classification. ICALP (2017)
Yahel David, Dotan Di Castro, Zohar S. Karnin
One-Shot Session Recommendation Systems with Combinatorial Items. CoRR (2016)
Dotan Di Castro, Liane Lewin-Eytan, Yoelle Maarek, Ran Wolff, Eyal Zohar
Enforcing k-anonymity in Web Mail Auditing. WSDM (2016)
Dotan Di Castro, Zohar Shay Karnin, Liane Lewin-Eytan, Yoelle Maarek
You've got Mail, and Here is What you Could do With It!: Analyzing and Predicting Actions on Email Messages. WSDM (2016)
Aviv Tamar, Dotan Di Castro, Shie Mannor
Learning the Variance of the Reward-To-Go. J. Mach. Learn. Res. 17 (2016)
Noa Avigdor-Elgrabli, Mark Cwalinski, Dotan Di Castro, Iftah Gamzu, Irena Grabovitch-Zuyev, Liane Lewin-Eytan, Yoelle Maarek
Structural Clustering of Machine-Generated Mail. CIKM (2016)
Daniel Soudry, Dotan Di Castro, Asaf Gal, Avinoam Kolodny, Shahar Kvatinsky
Memristor-Based Multilayer Neural Networks With Online Gradient Descent Training. IEEE Trans. Neural Networks Learn. Syst. 26 (10) (2015)
Assaf Hallak, Dotan Di Castro, Shie Mannor
Contextual Markov Decision Processes. CoRR (2015)
Assaf Hallak, Dotan Di Castro, Shie Mannor
Model selection in markovian processes. KDD (2013)
Aviv Tamar, Dotan Di Castro, Shie Mannor
Policy Evaluation with Variance Related Risk Criteria in Markov Decision Processes CoRR (2013)
Aviv Tamar, Dotan Di Castro, Shie Mannor
Temporal Difference Methods for the Variance of the Reward To Go. ICML (3) (2013)
Dotan Di Castro, Aviv Tamar, Shie Mannor
Policy Gradients with Variance Related Risk Criteria. ICML (2012)
Aviv Tamar, Dotan Di Castro, Ron Meir
Integrating a Partial Model into Model Free Reinforcement Learning. J. Mach. Learn. Res. 13 (2012)
Dotan Di Castro, Claudio Gentile, Shie Mannor
Bandits with an Edge CoRR (2011)
Aviv Tamar, Dotan Di Castro, Ron Meir
Integrating Partial Model Knowledge in Model Free RL Algorithms. ICML (2011)
Dotan Di Castro, Ron Meir
A Convergent Online Single Time Scale Actor Critic Algorithm. J. Mach. Learn. Res. 11 (2010)
Dotan Di Castro, Shie Mannor
Adaptive Bases for Reinforcement Learning. ECML/PKDD (1) (2010)
Dotan Di Castro, Shie Mannor
Adaptive bases for Q-learning. CDC (2010)
Dotan Di Castro, Shie Mannor
Adaptive Bases for Reinforcement Learning CoRR (2010)
Dotan Di Castro, Shie Mannor
Tutor learning using linear constraints in approximate dynamic programming. Allerton (2010)
Dotan Di Castro, Ronny Meir
A Convergent Online Single Time Scale Actor Critic Algorithm CoRR (2009)
Dotan Di Castro, Ron Meir, Irad Yavneh
Delays and Oscillations in Networks of Spiking Neurons: A Two-Timescale Analysis. Neural Comput. 21 (4) (2009)
Dotan Di Castro, Dmitry Volkinshtein, Ron Meir
Temporal Difference Based Actor Critic Learning - Convergence and Neural Implementation. NIPS (2008)