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Gal Elidan

 https://orcid.org/0000-0001-5365-599X
    Calculated based on number of publications stored in Pure and citations from Scopus
    20012024

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    • 2023

      Covering Uncommon Ground: Gap-Focused Question Generation for Answer Assessment

      Rabin, R., Djerbetian, A., Engelberg, R., Hackmon, L., Elidan, G., Tsarfaty, R. & Globerson, A., 2023, Short Papers. Association for Computational Linguistics (ACL), p. 215-227 13 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics; vol. 2).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      2 Scopus citations

    • Factually Consistent Summarization via Reinforcement Learning with Textual Entailment Feedback

      Roit, P., Ferret, J., Shani, L., Aharoni, R., Cideron, G., Dadashi, R., Geist, M., Girgin, S., Hussenot, L., Keller, O., Momchev, N., Ramos, S., Stanczyk, P., Vieillard, N., Bachem, O., Elidan, G., Hassidim, A., Pietquin, O. & Szpektor, I., 2023, Long Papers. Association for Computational Linguistics (ACL), p. 6252-6272 21 p. (Proceedings of the Annual Meeting of the Association for Computational Linguistics; vol. 1).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      34 Scopus citations
    • 2022

      Active Learning with Label Comparisons

      Yona, G., Moran, S., Elidan, G. & Globerson, A., 2022, Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence, UAI 2022. Association For Uncertainty in Artificial Intelligence (AUAI), p. 2289-2298 10 p. (Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence, UAI 2022).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      2 Scopus citations
    • 2021

      Explaining in Style: Training a GAN to explain a classifier in StyleSpace

      Lang, O., Gandelsman, Y., Yarom, M., Wald, Y., Elidan, G., Hassidim, A., Freeman, W. T., Isola, P., Globerson, A., Irani, M. & Mosseri, I., 2021, Proceedings - 2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021. Institute of Electrical and Electronics Engineers Inc., p. 673-682 10 p. (Proceedings of the IEEE International Conference on Computer Vision).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      Open Access
      73 Scopus citations

    • Solving Sokoban with Forward-Backward Reinforcement Learning

      Shoham, Y. & Elidan, G., 2021, 14th International Symposium on Combinatorial Search, SoCS 2021. Ma, H. & Serina, I. (eds.). Association for the Advancement of Artificial Intelligence, p. 191-193 3 p. (14th International Symposium on Combinatorial Search, SoCS 2021).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      Open Access
      6 Scopus citations
    • 2020

      Dynamic Composition for Conversational Domain Exploration

      Szpektor, I., Cohen, D., Elidan, G., Fink, M., Hassidim, A., Keller, O., Kulkarni, S., Ofek, E., Pudinsky, S., Revach, A., Salant, S. & Matias, Y., 20 Apr 2020, The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020. Association for Computing Machinery, Inc, p. 872-883 12 p. (The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      9 Scopus citations

    • Spectral algorithm for shared low-rank matrix regressions

      Gigi, Y., Nevo, S., Elidan, G., Hassidim, A., Matias, Y. & Wiesel, A., Jun 2020, 2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop, SAM 2020. IEEE Computer Society, 9104279. (Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop; vol. 2020-June).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      1 Scopus citations
    • 2019

      Robust multitask Elliptical Regression (ROMER)

      Noy, N., Wald, Y., Elidan, G. & Wiesel, A., Dec 2019, 2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 261-265 5 p. 9022524. (2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2019 - Proceedings).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      1 Scopus citations
    • 2017

      Logistic Markov decision processes

      Mladenov, M., Meshi, O., Boutilier, C., Elidan, G., Schuurmans, D. & Lu, T., 2017, 26th International Joint Conference on Artificial Intelligence, IJCAI 2017. Sierra, C. (ed.). International Joint Conferences on Artificial Intelligence, p. 2486-2493 8 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 0).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      Open Access
      5 Scopus citations

    • Quaternion structured paranormal distributions

      Woodbridge, Y., Elidan, G. & Wiesel, A., 1 Mar 2017, Conference Record of the 50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016. Matthews, M. B. (ed.). IEEE Computer Society, p. 815-819 5 p. 7869160. (Conference Record - Asilomar Conference on Signals, Systems and Computers).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • 2016

      Signal detection in para complex normal noise

      Woodbridge, Y., Elidan, G. & Wiesel, A., 18 May 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 4274-4278 5 p. 7472483. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2016-May).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • 2014

      HELM: Highly efficient learning of mixed copula networks

      Tenzer, Y. & Elidan, G., 2014, Uncertainty in Artificial Intelligence - Proceedings of the 30th Conference, UAI 2014. Zhang, N. L. & Tian, J. (eds.). AUAI Press, p. 790-799 10 p. (Uncertainty in Artificial Intelligence - Proceedings of the 30th Conference, UAI 2014).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      1 Scopus citations
    • 2012

      Nonparanormal belief propagation (NPNBP)

      Elidan, G. & Cario, C., 2012, Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012, NIPS 2012. p. 899-907 9 p. (Advances in Neural Information Processing Systems; vol. 2).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      2 Scopus citations
    • 2010

      Copula Bayesian networks

      Elidan, G., 2010, Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, NIPS 2010. Neural Information Processing Systems, (Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, NIPS 2010).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      98 Scopus citations

    • Inference-less density estimation using Copula Bayesian Networks

      Elidan, G., 2010, Proceedings of the 26th Conference on Uncertainty in Artificial Intelligence, UAI 2010. AUAI Press, p. 151-159 9 p. (Proceedings of the 26th Conference on Uncertainty in Artificial Intelligence, UAI 2010).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      6 Scopus citations
    • 2009

      Learning bounded treewidth Bayesian networks

      Elidan, G. & Gould, S., 2009, Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. Neural Information Processing Systems, p. 417-424 8 p. (Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      27 Scopus citations

    • Shape-based object localization for descriptive classification

      Heitz, G., Elidan, G., Packer, B. & Koller, D., 2009, Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. Neural Information Processing Systems, p. 633-640 8 p. (Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      5 Scopus citations
    • 2008

      Convex point estimation using undirected Bayesian transfer hierarchies

      Elidan, G., Packer, B., Heitz, G. & Koller, D., 2008, Proceedings of the 24th Conference on Uncertainty in Artificial Intelligence, UAI 2008. p. 179-186 8 p. (Proceedings of the 24th Conference on Uncertainty in Artificial Intelligence, UAI 2008).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      4 Scopus citations
    • 2007

      Using combinatorial optimization within max-product belief propagation

      Duchi, J., Tarlow, D., Elidan, G. & Koller, D., 2007, Advances in Neural Information Processing Systems 19 - Proceedings of the 2006 Conference. p. 369-376 8 p. (Advances in Neural Information Processing Systems).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      37 Scopus citations
    • 2006

      Learning object shape: From drawings to images

      Elidan, G., Heitz, G. & Koller, D., 2006, Proceedings - 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2006. p. 2064-2071 8 p. 1641006. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 2).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      28 Scopus citations

    • Max-margin classification of incomplete data

      Chechik, G., Heitz, G., Elidan, G., Abbeel, P. & Koller, D., 2006, NIPS 2006: Proceedings of the 19th International Conference on Neural Information Processing Systems. Scholkopf, B., Platt, J. C. & Hofmann, T. (eds.). MIT Press Journals, p. 233-240 8 p. (NIPS 2006: Proceedings of the 19th International Conference on Neural Information Processing Systems).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      17 Scopus citations

    • Residual belief propagation: Informed scheduling for asynchronous message passing

      Elidan, G., McGraw, I. & Koller, D., 2006, Proceedings of the 22nd Conference on Uncertainty in Artificial Intelligence, UAI 2006. p. 165-173 9 p. (Proceedings of the 22nd Conference on Uncertainty in Artificial Intelligence, UAI 2006).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      181 Scopus citations

    • Using Combinatorial Optimization within Max-Product Belief Propagation

      Duchi, J., Tarlow, D., Elidan, G. & Koller, D., 2006, NIPS 2006: Proceedings of the 19th International Conference on Neural Information Processing Systems. Scholkopf, B., Platt, J. C. & Hofmann, T. (eds.). MIT Press Journals, p. 369-376 8 p. (NIPS 2006: Proceedings of the 19th International Conference on Neural Information Processing Systems).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      4 Scopus citations
    • 2004

      "Ideal Parent" Structure Learning for Continuous Variable Networks.

      Nachman, I., Elidan, G. & Friedman, N., 2004, UAI '04, Proceedings of the 20th Conference in Uncertainty in Artificial Intelligence. AUAI Press 2004, p. 400-409 10 p.

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • 2003

      The Information Bottleneck EM Algorithm.

      Elidan, G. & Friedman, N., 2003, UAI '03: Proceedings of the 19th Conference in Uncertainty in Artificial Intelligence. p. 200-208 9 p.

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

    • 2001

      Discovering hidden variables: A structure-based approach

      Elidan, G., Lotner, N., Friedman, N. & Koller, D., 2001, Advances in Neural Information Processing Systems 13 - Proceedings of the 2000 Conference, NIPS 2000. Neural information processing systems foundation, (Advances in Neural Information Processing Systems).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

      26 Scopus citations

    • Learning the Dimensionality of Hidden Variables.

      Elidan, G. & Friedman, N., 2001, UAI '01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence. p. 144-151 8 p.

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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