Dotan Di Castro

76 papers A* 9A 6B 1Journal 49Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	PREGEN: Uncovering Latent Thoughts in Composed Video Retrieval. CoRR Gabriele Serussi, David Vainshtein, Jonathan Kouchly, Dotan Di Castro, Chaim Baskin
2026	J	`jnl`	Ternary Momentum For Quantized Training. Trans. Mach. Learn. Res. Noga Bar, Amit Attia, Michal Moshkovitz, Dotan Di Castro
2026	J	`jnl`	VLM-Guided Experience Replay. CoRR Elad Sharony, Tom Jurgenson, Orr Krupnik, Dotan Di Castro, Shie Mannor
2025	—	`conf`	Adapter to facilitate Foundation Model Communication for DLO Instance Segmentation. UniReps Omkar Joglekar, Shir Kozlovsky, Dotan Di Castro
2025	J	`jnl`	LLM4SFC: Sequential Function Chart Generation via Large Language Models. CoRR Ofek Glick, Vladimir Tchuiev, Marah Ghoummaid, Michal Moshkovitz, Dotan Di Castro
2025	—	`conf`	MATCH: Task-Driven Code Evaluation through Contrastive Learning. EMNLP (Findings) Marah Ghoummaid, Vladimir Tchuiev, Ofek Glick, Michal Moshkovitz, Dotan Di Castro
2025	J	`jnl`	MATCH: Task-Driven Code Evaluation through Contrastive Learning. CoRR Marah Ghoummaid, Vladimir Tchuiev, Ofek Glick, Michal Moshkovitz, Dotan Di Castro
2025	J	`jnl`	Reviving Life on the Edge: Joint Score-Based Graph Generation of Rich Edge Attributes. Trans. Mach. Learn. Res. Nimrod Berman, Eitan Kosman, Dotan Di Castro, Omri Azencot
2025	A	`conf`	Robot Instance Segmentation with Few Annotations for Grasping. WACV Moshe Kimhi, David Vainshtein, Chaim Baskin, Dotan Di Castro
2025	J	`jnl`	Towards General Modality Translation with Contrastive and Predictive Latent Diffusion Bridge. CoRR Nimrod Berman, Omkar Joglekar, Eitan Kosman, Dotan Di Castro, Omri Azencot
2024	J	`jnl`	An Axiomatic Approach to Model-Agnostic Concept Explanations. CoRR Zhili Feng, Michal Moshkovitz, Dotan Di Castro, J. Zico Kolter
2024	J	`jnl`	Beyond Data Scarcity: A Frequency-Driven Framework for Zero-Shot Forecasting. CoRR Liran Nochumsohn, Michal Moshkovitz, Orly Avner, Dotan Di Castro, Omri Azencot
2024	A*	`conf`	CONFIDE: Contextual Finite Difference Modelling of PDEs. KDD Ori Linial, Orly Avner, Dotan Di Castro
2024	J	`jnl`	Decentralized and Asymmetric Multi-Agent Learning in Construction Sites. CoRR Yakov Miron, Dan Navon, Yuval Goldfracht, Dotan Di Castro, Itzik Klein
2024	J	`jnl`	Generative Modeling of Graphs via Joint Diffusion of Node and Edge Attributes. CoRR Nimrod Berman, Eitan Kosman, Dotan Di Castro, Omri Azencot
2024	J	`jnl`	Gradient-Free Neural Network Training on the Edge. CoRR Dotan Di Castro, Omkar Joglekar, Shir Kozlovsky, Vladimir Tchuiev, Michal Moshkovitz
2024	J	`jnl`	ISCUTE: Instance Segmentation of Cables Using Text Embedding. CoRR Shir Kozlovsky, Omkar Joglekar, Dotan Di Castro
2024	J	`jnl`	RCF-TP: Radar-Camera Fusion With Temporal Priors for 3D Object Detection. IEEE Access Yakov Miron, Florian Drews, Florian Faion, Dotan Di Castro, Itzik Klein
2024	J	`jnl`	Radar Spectra-Language Model for Automotive Scene Parsing. CoRR Mariia Pushkareva, Yuri Feldman, Csaba Domokos, Kilian Rambach, Dotan Di Castro
2024	J	`jnl`	Robot Instance Segmentation with Few Annotations for Grasping. CoRR Moshe Kimhi, David Vainshtein, Chaim Baskin, Dotan Di Castro
2024	J	`jnl`	SQT - std Q-target. CoRR Nitsan Soffair, Dotan Di Castro, Orly Avner, Shie Mannor
2024	J	`jnl`	Towards Natural Language-Driven Assembly Using Foundation Models. CoRR Omkar Joglekar, Tal Lancewicki, Shir Kozlovsky, Vladimir Tchuiev, Zohar Feldman, Dotan Di Castro
2023	J	`jnl`	Autonomous Dozer Sand Grading Under Localization Uncertainties. IEEE Robotics Autom. Lett. Yakov Miron, Yuval Goldfracht, Chana Ross, Dotan Di Castro, Itzik Klein
2023	J	`jnl`	Offline Skill Graph (OSG): A Framework for Learning and Planning using Offline Reinforcement Learning Skills. CoRR Ben-ya Halevy, Yehudit Aperstein, Dotan Di Castro
2023	J	`jnl`	PDExplain: Contextual Modeling of PDEs in the Wild. CoRR Ori Linial, Orly Avner, Dotan Di Castro
2022	A*	`conf`	A Hybrid Approach for Learning to Shift and Grasp with Elaborate Motion Primitives. ICRA Zohar Feldman, Hanna Ziesche, Ngo Anh Vien, Dotan Di Castro
2022	J	`jnl`	AG2U - Autonomous Grading Under Uncertainties. CoRR Yakov Miron, Yuval Goldfracht, Chana Ross, Dotan Di Castro, Itzik Klein
2022	A*	`conf`	Analysis of Stochastic Processes through Replay Buffers. ICML Shirli Di-Castro Shashua, Shie Mannor, Dotan Di Castro
2022	J	`jnl`	Analysis of Stochastic Processes through Replay Buffers. CoRR Shirli Di-Castro Shashua, Shie Mannor, Dotan Di Castro
2022	A	`conf`	DUQIM-Net: Probabilistic Object Hierarchy Representation for Multi-View Manipulation. IROS Vladimir Tchuiev, Yakov Miron, Dotan Di Castro
2022	J	`jnl`	DUQIM-Net: Probabilistic Object Hierarchy Representation for Multi-View Manipulation. CoRR Vladimir Tchuiev, Yakov Miron, Dotan Di Castro
2022	J	`jnl`	GraphVid: It Only Takes a Few Nodes to Understand a Video. CoRR Eitan Kosman, Dotan Di Castro
2022	—	`conf`	GraphVid: It only Takes a Few Nodes to Understand a Video. ECCV (35) Eitan Kosman, Dotan Di Castro
2022	A*	`conf`	InsertionNet 2.0: Minimal Contact Multi-Step Insertion Using Multimodal Multiview Sensory Input. ICRA Oren Spector, Vladimir Tchuiev, Dotan Di Castro
2022	J	`jnl`	InsertionNet 2.0: Minimal Contact Multi-Step Insertion Using Multimodal Multiview Sensory Input. CoRR Oren Spector, Vladimir Tchuiev, Dotan Di Castro
2022	—	`conf`	LSP: Acceleration of Graph Neural Networks via Locality Sensitive Pruning of Graphs. ICDM (Workshops) Eitan Kosman, Joel Oren, Dotan Di Castro
2022	A	`conf`	Towards Autonomous Grading In The Real World. IROS Yakov Miron, Chana Ross, Yuval Goldfracht, Chen Tessler, Dotan Di Castro
2022	J	`jnl`	Towards Autonomous Grading In The Real World. CoRR Yakov Miron, Chana Ross, Yuval Goldfracht, Chen Tessler, Dotan Di Castro
2022	—	`conf`	Towards Autonomous Grading in the Real World. ECCV Workshops (4) Yakov Miron, Yuval Goldfracht, Dotan Di Castro
2021	J	`jnl`	A Hybrid Approach for Learning to Shift and Grasp with Elaborate Motion Primitives. CoRR Zohar Feldman, Hanna Ziesche, Ngo Anh Vien, Dotan Di Castro
2021	J	`jnl`	AGPNet - Autonomous Grading Policy Network. CoRR Chana Ross, Yakov Miron, Yuval Goldfracht, Dotan Di Castro
2021	J	`jnl`	BIDCD - Bosch Industrial Depth Completion Dataset. CoRR Adam Botach, Yuri Feldman, Yakov Miron, Yoel Shapiro, Dotan Di Castro
2021	J	`jnl`	InsertionNet - A Scalable Solution for Insertion. CoRR Oren Spector, Dotan Di Castro
2021	J	`jnl`	InsertionNet - A Scalable Solution for Insertion. IEEE Robotics Autom. Lett. Oren Spector, Dotan Di Castro
2021	J	`jnl`	LSP : Acceleration and Regularization of Graph Neural Networks via Locality Sensitive Pruning of Graphs. CoRR Eitan Kosman, Joel Oren, Dotan Di Castro
2021	B	`conf`	SOLO: Search Online, Learn Offline for Combinatorial Optimization Problems. SOCS Joel Oren, Chana Ross, Maksym Lefarov, Felix Richter, Ayal Taitler, Zohar Feldman, Dotan Di Castro, Christian Daniel
2021	J	`jnl`	SOLO: Search Online, Learn Offline for Combinatorial Optimization Problems. CoRR Joel Oren, Chana Ross, Maksym Lefarov, Felix Richter, Ayal Taitler, Zohar Feldman, Christian Daniel, Dotan Di Castro
2021	A*	`conf`	Sim and Real: Better Together. NeurIPS Shirli Di-Castro Shashua, Dotan Di Castro, Shie Mannor
2021	J	`jnl`	Sim and Real: Better Together. CoRR Shirli Di-Castro Shashua, Dotan Di Castro, Shie Mannor
2021	J	`jnl`	Vision-Guided Forecasting - Visual Context for Multi-Horizon Time Series Forecasting. CoRR Eitan Kosman, Dotan Di Castro
2020	J	`jnl`	Depth Completion with RGB Prior. CoRR Yuri Feldman, Yoel Shapiro, Dotan Di Castro
2019	J	`jnl`	Practical Risk Measures in Reinforcement Learning. CoRR Dotan Di Castro, Joel Oren, Shie Mannor
2018	—	`conf`	Automated Extractions for Machine Generated Mail. WWW (Companion Volume) Dotan Di Castro, Iftah Gamzu, Irena Grabovitch-Zuyev, Liane Lewin-Eytan, Abhinav Pundir, Nil Ratan Sahoo, Michael Viderman
2017	A*	`conf`	Correlated Rounding of Multiple Uniform Matroids and Multi-Label Classification. ICALP Shahar Chen, Dotan Di Castro, Zohar S. Karnin, Liane Lewin-Eytan, Joseph (Seffi) Naor, Roy Schwartz
2016	A	`conf`	Enforcing k-anonymity in Web Mail Auditing. WSDM Dotan Di Castro, Liane Lewin-Eytan, Yoelle Maarek, Ran Wolff, Eyal Zohar
2016	J	`jnl`	Learning the Variance of the Reward-To-Go. J. Mach. Learn. Res. Aviv Tamar, Dotan Di Castro, Shie Mannor
2016	J	`jnl`	One-Shot Session Recommendation Systems with Combinatorial Items. CoRR Yahel David, Dotan Di Castro, Zohar S. Karnin
2016	A	`conf`	Structural Clustering of Machine-Generated Mail. CIKM Noa Avigdor-Elgrabli, Mark Cwalinski, Dotan Di Castro, Iftah Gamzu, Irena Grabovitch-Zuyev, Liane Lewin-Eytan, Yoelle Maarek
2016	A	`conf`	You've got Mail, and Here is What you Could do With It!: Analyzing and Predicting Actions on Email Messages. WSDM Dotan Di Castro, Zohar Shay Karnin, Liane Lewin-Eytan, Yoelle Maarek
2015	J	`jnl`	Contextual Markov Decision Processes. CoRR Assaf Hallak, Dotan Di Castro, Shie Mannor
2015	J	`jnl`	Memristor-Based Multilayer Neural Networks With Online Gradient Descent Training. IEEE Trans. Neural Networks Learn. Syst. Daniel Soudry, Dotan Di Castro, Asaf Gal, Avinoam Kolodny, Shahar Kvatinsky
2013	A*	`conf`	Model selection in markovian processes. KDD Assaf Hallak, Dotan Di Castro, Shie Mannor
2013	J	`jnl`	Policy Evaluation with Variance Related Risk Criteria in Markov Decision Processes CoRR Aviv Tamar, Dotan Di Castro, Shie Mannor
2013	—	`conf`	Temporal Difference Methods for the Variance of the Reward To Go. ICML (3) Aviv Tamar, Dotan Di Castro, Shie Mannor
2012	J	`jnl`	Integrating a Partial Model into Model Free Reinforcement Learning. J. Mach. Learn. Res. Aviv Tamar, Dotan Di Castro, Ron Meir
2012	A*	`conf`	Policy Gradients with Variance Related Risk Criteria. ICML Dotan Di Castro, Aviv Tamar, Shie Mannor
2011	J	`jnl`	Bandits with an Edge CoRR Dotan Di Castro, Claudio Gentile, Shie Mannor
2011	A*	`conf`	Integrating Partial Model Knowledge in Model Free RL Algorithms. ICML Aviv Tamar, Dotan Di Castro, Ron Meir
2010	J	`jnl`	A Convergent Online Single Time Scale Actor Critic Algorithm. J. Mach. Learn. Res. Dotan Di Castro, Ron Meir
2010	J	`jnl`	Adaptive Bases for Reinforcement Learning CoRR Dotan Di Castro, Shie Mannor
2010	—	`conf`	Adaptive Bases for Reinforcement Learning. ECML/PKDD (1) Dotan Di Castro, Shie Mannor
2010	—	`conf`	Adaptive bases for Q-learning. CDC Dotan Di Castro, Shie Mannor
2010	—	`conf`	Tutor learning using linear constraints in approximate dynamic programming. Allerton Dotan Di Castro, Shie Mannor
2009	J	`jnl`	A Convergent Online Single Time Scale Actor Critic Algorithm CoRR Dotan Di Castro, Ronny Meir
2009	J	`jnl`	Delays and Oscillations in Networks of Spiking Neurons: A Two-Timescale Analysis. Neural Comput. Dotan Di Castro, Ron Meir, Irad Yavneh
2008	—	`conf`	Temporal Difference Based Actor Critic Learning - Convergence and Neural Implementation. NIPS Dotan Di Castro, Dmitry Volkinshtein, Ron Meir