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(25) Y. Shi, P. Schillinger , M. Gabriel, A. Kuss , Z. Feldman , H. Ziesche , N. Anh Vien " Uncertainty-driven Exploration Strategies for Online Grasp Learning. ICRA, 2024.

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(24) M. Moshkovitz, N. Frost, Z. C. Lipton, Y. Mansour " Partially Interpretable Models with Guarantees on Coverage and Accuracy. ALT, 2024.

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(23) O. Ben-Porat, Y. Mansour, M. Moshkovitz, B. Taitler " Principal-Agent Reward Shaping in MDPs. AAAI, 2024.

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(22) N. Berman, E. Kosman, D. Di Castro, O. Azencot " Generative Modeling of Graphs via Joint Diffusion of Node and Edge Attributes. arXiv:2402.04046.

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(21) S. Kozlovsky, O. Joglekar, D. Di Castro " ISCUTE: Instance Segmentation of Cables Using Text Embedding. arXiv:2402.11996.

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(20) M. Moshkovitz, L. Cohen, Y. Mansour " Finding Safe Zones of Markov Decision Processes Policies. NeurIPS. 2023.

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(19) O. Linial, O. Avner, D. Di Castro " PDExplain: Contextual Modeling of PDEs in the Wild. arXiv:2303.15827.

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(18) A. Keysan, A. Look, E. Kosman, G. Gürsun, J. Wagner, Y. Yao, B. Rakitsch " Can you text what is happening? Integrating pretrained language encoders into trajectory prediction models for autonomous driving". Agents4AD IROS 2023 Workshop.

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(17) E. Kosman, J. Oren, D. Di Castro. "LSP: Acceleration of Graph Neural Networks via Locality Sensitive Pruning of Graphs". 2022 IEEE ICDMW.

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(16) Y. Miron, Y. Goldfracht, C. Ross, D. Di Castro, I. Klein. "Autonomous Dozer Sand Grading Under Localization Uncertainties". RAL, 2022 + ICRA, 2023.

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(15) E. Kosman, D. Di Castro. "GraphVid: It Only Takes a Few Nodes to Understand a Video". ECCV, 2022 (Oral).

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(14) Y. Miron, C. Ross, Y. Goldfracht, C. Tessler, D. Di Castro. "Towards autonomous grading in the real world". IROS, 2022.

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(13) S. Di Castro Shashua, S. Mannor, D. Di Castro. "Analysis of Stochastic Processes through Replay Buffers". ICRA, 2022.

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(12) Zohar Feldman, Hanna Ziesche, Ngo Anh Vien, Dotan Di Castro. "A Hybrid Approach for Learning to Shift and Grasp with ElaborateMotion Primitives". ICRA, 2022.

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(11) O. Spector, V. Tchuiev, D. Di Castro. "InsertionNet 2.0: Minimal Contact Multi-Step Insertion Using Multimodal Multiview Sensory Input". ICRA, 2022.

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(10) C. Ross, Y. Miron, Y. Goldfracht, D. Di Castro. "AGPNet - Autonomous Grading Policy Network". arXiv:2112.10877, 2021.

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(9) O. Rosen, J. Oren, A. Raviv. "Predicting User Demography and Device from News Comments . Sigir 2022.

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(8) O. Ben-Eliezer, T. Eden, J. Oren, D. Froakis. "Sampling Multiple Nodes in Large Networks: Beyond Random Walks". WSDM 2022.

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(7) S. Di Castro Shashua, S. Mannor, D. Di Castro. "Sim and Real: Better Together". NeurIPS 2021.

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(6) J. Oren, C. Ross, M. Lefarov, F. Richter, A. Taitler, Z. Feldman, D. Di Castro, C. Daniel. "SOLO: Search Online, Learn Offline for Combinatorial Optimization Problems". SOCS, 2021.

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(5) O. Spector, D. Di Castro. "InsertionNet - A Scalable Solution for Insertion". IROS 2021, RAL.

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(4) E. Kosman, D. Di Castro. Vision-Guided Forecasting--Visual Context for Multi-Horizon Time Series Forecasting. arXiv preprint arXiv:2107.12674, 2021. Presentation

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(3) A. Botach, Y. Feldman, Y. Miron, Y. Shapiro, D. Di Castro. BIDCD-Bosch Industrial Depth Completion Dataset. arXiv preprint arXiv:2108.04706

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(2) D. Di Castro, J. Oren, S. Mannor. Practical Risk Measures in Reinforcement Learning. NeurIPS-2019 Workshop on Safety and Robustness in Decision Making, 2019.

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(1) D. Di Castro. Freeing the Exponents - Schemes for Estimating Generalized Value Functions. Planning and Learning Workshop 2018 (PAL-18), ICML, Stockholm, 2018