{"id":12,"date":"2019-10-03T06:42:28","date_gmt":"2019-10-03T06:42:28","guid":{"rendered":"http:\/\/www.eng.biu.ac.il\/fetayae\/?page_id=12"},"modified":"2023-03-20T13:22:23","modified_gmt":"2023-03-20T10:22:23","slug":"publications","status":"publish","type":"page","link":"https:\/\/www.eng.biu.ac.il\/fetayae\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"<p>Preprints:<\/p>\n<ul>\n<li><a class=\"gsc_oci_title_link\" href=\"https:\/\/arxiv.org\/abs\/2206.10935\" data-clk=\"hl=en&amp;sa=T&amp;ei=BG6TYuvYKozymgHbsIv4BQ\">A Study on the Evaluation of Generative Models<\/a>, Eyal Betzalel, Coby Penso, Aviv Navon, and Ethan Fetaya.<\/li>\n<li><a href=\"https:\/\/arxiv.org\/pdf\/2209.01682\">Communication Efficient Distributed Learning over Wireless Channels<\/a>, Idan Achituve, Wenbo Wang, Ethan Fetaya, Amir Leshem.<\/li>\n<li><a href=\"https:\/\/arxiv.org\/pdf\/2301.12780\">Equivariant Architectures for Learning in Deep Weight Spaces<\/a>, Aviv Navon, Aviv Shamsian, Idan Achituve, Ethan Fetaya, Gal Chechik, Haggai Maron.<\/li>\n<li><a href=\"https:\/\/arxiv.org\/pdf\/2301.13501\">Auxiliary Learning as an Asymmetric Bargaining Game<\/a>, Aviv Shamsian, Aviv Navon, Neta Glazer, Kenji Kawaguchi, Gal Chechik, Ethan Fetaya.<\/li>\n<li><a href=\"https:\/\/arxiv.org\/pdf\/2302.09574\">Guided Deep Kernel Learning<\/a>, Idan Achituve, Gal Chechik, Ethan Fetaya.<\/li>\n<\/ul>\n<p>Publications:<\/p>\n<ul>\n<li><a href=\"https:\/\/www.science.org\/doi\/10.1126\/science.ade1220\">Geometric deep optical sensing<\/a>, Shaofan Yuan,ChaoMa, Ethan Fetaya, Thomas Mueller, Doron Naveh, Fan Zhang, and Fengnian Xia. Science 2023.<\/li>\n<li><a class=\"gsc_oci_title_link\" href=\"https:\/\/arxiv.org\/abs\/2206.02183\" data-clk=\"hl=en&amp;sa=T&amp;ei=BG6TYuvYKozymgHbsIv4BQ\">Functional Ensemble Distillation<\/a>, Coby Penso, Idan Achituve, and Ethan Fetaya. NeurIPS 2022.<\/li>\n<li><a class=\"gsc_oci_title_link\" href=\"https:\/\/arxiv.org\/abs\/2110.05057\" data-clk=\"hl=en&amp;sa=T&amp;ei=BG6TYuvYKozymgHbsIv4BQ\">Can Stochastic Gradient Langevin Dynamics Provide Differential Privacy for Deep Learning?,<\/a> Guy Heller and Ethan Fetaya. SaTML 2022.<\/li>\n<li><a class=\"gsc_vcd_title_link\" href=\"https:\/\/arxiv.org\/abs\/1905.11659\">Evaluating and Calibrating Uncertainty Prediction in Regression Tasks<\/a>,\u00a0Dan Levi, Liran Gispan, Niv Giladi and <em>Ethan Fetaya. <\/em>Sensors 2022.<\/li>\n<li><a class=\"gsc_oci_title_link\" href=\"https:\/\/arxiv.org\/abs\/2202.01017\" data-clk=\"hl=en&amp;sa=T&amp;ei=dW6TYqieCqPGsQLoh4rYBA\">Multi-task Learning as a Bargaining Game<\/a>, Aviv Navon, Aviv Shamsian, Idan Achituve, Haggai Maron, Kenji Kawaguchi, Gal Chechik, and Ethan Fetaya. ICML 2022.<\/li>\n<li><a class=\"gsc_oci_title_link\" href=\"https:\/\/proceedings.neurips.cc\/paper\/2021\/hash\/46d0671dd4117ea366031f87f3aa0093-Abstract.html\" data-clk=\"hl=en&amp;sa=T&amp;ei=4m2TYqH8J5CTy9YPnbKHMA\">Personalized Federated Learning with Gaussian Processes<\/a>, Idan Achituve, Aviv Shamsian, Aviv Navon, Gal Chechik, and Ethan Fetaya. NeurIPS 2021.<\/li>\n<li><a class=\"gsc_oci_title_link\" href=\"http:\/\/proceedings.mlr.press\/v139\/yehudai21a.html\" data-clk=\"hl=en&amp;sa=T&amp;ei=u22TYrN7m5PL1g_k7pfIBQ\">From local structures to size generalization in graph neural networks<\/a>, Gilad Yehudai, Ethan Fetaya, Eli Meirom, Gal Chechik, and Haggai Maron. ICML 2021.<\/li>\n<li><a class=\"gsc_oci_title_link\" href=\"http:\/\/proceedings.mlr.press\/v139\/shamsian21a.html\" data-clk=\"hl=en&amp;sa=T&amp;ei=g22TYoH0OpCTy9YPnbKHMA\">Personalized federated learning using hypernetworks<\/a>, Aviv Shamsian, Aviv Navon, Ethan Fetaya, and Gal Chechik. ICML 2021.<\/li>\n<li><a class=\"gsc_oci_title_link\" href=\"http:\/\/proceedings.mlr.press\/v139\/achituve21a.html\" data-clk=\"hl=en&amp;sa=T&amp;ei=Um2TYtCaK6PGsQLoh4rYBA\">GP-Tree: A Gaussian process classifier for few-shot incremental learning<\/a>, Idan Achituve, Aviv Navon, Yochai Yemini, Gal Chechik, and Ethan Fetaya. ICML 2021.<\/li>\n<li><a href=\"https:\/\/www.isca-speech.org\/archive\/pdfs\/interspeech_2021\/yemini21_interspeech.pdf\">Scene-Agnostic Multi-Microphone Speech Dereverberation<\/a>, Yochai Yemini, Ethan Fetaya, Haggai Maron, and Sharon Gannot. INTERSPEECH 2021.<\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2010.04104\">Learning the Pareto Front with Hypernetworks<\/a>, Aviv Navon*, Aviv Shamsian*, Gal Chechik, Ethan Fetaya (*equal contribution) [<a href=\"https:\/\/avivnavon.github.io\/ParetoHN\/\">code<\/a>]. ICLR 2021.<\/li>\n<li><a href=\"https:\/\/arxiv.org\/pdf\/2007.02693.pdf\">Auxiliary Learning by Implicit Differentiation<\/a>, Aviv Navon*, Idan Achituve\u2217, Haggai Maron, Gal Chechik\u2020, Ethan Fetaya\u2020 (*,\u2020 equal contribution) [<a href=\"https:\/\/github.com\/AvivNavon\/AuxiLearn\">code<\/a>]. ICLR 2021<\/li>\n<li><a href=\"https:\/\/www.pnas.org\/doi\/pdf\/10.1073\/pnas.2003794117\">Restoration of Fragmentary Babylonian Texts Using Recurrent Neural Networks<\/a>, Ethan Fetaya, Yonatan Lifshitz, Elad Aaron, and Shai Gordin. PNAS 2020.<\/li>\n<li><a href=\"https:\/\/arxiv.org\/abs\/2002.08599\">On Learning Sets of Symmetric Elements<\/a>, Haggai Maron, Or Litany, Gal Chechik and\u00a0 Ethan Fetaya, ICML 2020 (Best paper award).<\/li>\n<li><a class=\"gsc_vcd_title_link\" href=\"https:\/\/openreview.net\/forum?id=r1lPleBFvH\">Understanding the Limitations of Conditional Generative Models<\/a>, Ethan Fetaya*, Joern-Henrik Jacobsen(, Will Grathwohl, Richard Zemel (*equal contribution) ICLR 2020<\/li>\n<li><a class=\"gsc_vcd_title_link\" href=\"https:\/\/arxiv.org\/abs\/1810.07218\">Incremental few-shot learning with attention attractor networks<\/a>,\u00a0Mengye Ren, Renjie Liao,<em> Ethan Fetaya <\/em>and\u00a0Richard Zemel. Neurips 2019.<\/li>\n<li><a class=\"gsc_vcd_title_link\" href=\"https:\/\/arxiv.org\/abs\/1901.09342\">On the Universality of Invariant Networks<\/a>,\u00a0Haggai Maron, <em>Ethan Fetaya<\/em>, Nimrod Segol, Yaron Lipman. ICML 2019<\/li>\n<li><a class=\"gsc_vcd_title_link\" href=\"http:\/\/papers.nips.cc\/paper\/7445-neural-guided-constraint-logic-programming-for-program-synthesis\">Neural guided constraint logic programming for program synthesis<\/a>,Lisa Zhang, Gregory Rosenblatt, <em>Ethan Fetaya<\/em>, Renjie Liao, William Byrd, Matthew Might, Raquel Urtasun and Richard Zemel. Neurips 2018.<\/li>\n<li><a class=\"gsc_vcd_title_link\" href=\"https:\/\/arxiv.org\/abs\/1803.06396\">Reviving and improving recurrent back-propagation<\/a>,\u00a0Renjie Liao, Yuwen Xiong, <em>Ethan Fetaya<\/em>, Lisa Zhang, KiJung Yoon, Xaq Pitkow, Raquel Urtasun, and Richard Zemel. ICML 2018.<\/li>\n<li><a class=\"gsc_vcd_title_link\" href=\"https:\/\/arxiv.org\/abs\/1802.04687\">Neural relational inference for interacting systems<\/a>, Thomas Kipf*, <em>Ethan Fetaya<\/em>*, Kuan-Chieh Wang, Max Welling, Richard Zemel (*equal contribution). ICML 2018.<\/li>\n<li><a class=\"gsc_vcd_title_link\" href=\"https:\/\/arxiv.org\/abs\/1710.07739\">Learning discrete weights using the local reparameterization trick<\/a>, Oran Shayer, Dan Levi and\u00a0<em>Ethan Fetaya<\/em>. ICLR 2018.<\/li>\n<li>\n<div class=\"gs_scl\"><a class=\"gsc_vcd_title_link\" href=\"https:\/\/link.springer.com\/chapter\/10.1007\/978-3-319-46475-6_16\">Human pose estimation using deep consensus voting<\/a>,\u00a0Ita Lifshitz*, <em>Ethan Fetaya<\/em>* and Shimon Ullman (*equal contribution). ECCV 2016.<\/div>\n<\/li>\n<li>\n<div class=\"gs_scl\">\u00a0<a class=\"gsc_vcd_title_link\" href=\"http:\/\/www.jmlr.org\/proceedings\/papers\/v51\/jaffe16.pdf\">Unsupervised ensemble learning with dependent classifiers<\/a>,\u00a0Ariel Jaffe, <em>Ethan Fetaya<\/em>, Boaz Nadler, Tingting Jiang and Yuval Kluger. AISTATS 2016.<\/div>\n<\/li>\n<li><a class=\"gsc_vcd_title_link\" href=\"https:\/\/www.pnas.org\/content\/113\/10\/2744.short\">Atoms of recognition in human and computer vision<\/a>,\u00a0Shimon Ullman, Liav Assif, <em>Ethan Fetaya<\/em> and Daniel Harari. PNAS 2016.<\/li>\n<li><a class=\"gsc_vcd_title_link\" href=\"http:\/\/www.cvlibs.net\/projects\/autonomous_vision_survey\/literature\/Levi2015BMVC.pdf\">StixelNet: A Deep Convolutional Network for Obstacle Detection and Road Segmentation.<\/a>\u00a0Dan Levi, Noa Garnett and <em>Ethan Fetaya. <\/em>BMVC 2016.<\/li>\n<li><a class=\"gsc_vcd_title_link\" href=\"http:\/\/www.jmlr.org\/proceedings\/papers\/v37\/fetaya15.pdf\">Learning local invariant Mahalanobis distances<\/a>.\u00a0<em>Ethan Fetaya<\/em> and Shimon Ullman. ICML 2015.<\/li>\n<li><a class=\"gsc_vcd_title_link\" href=\"http:\/\/www.jmlr.org\/proceedings\/papers\/v38\/fetaya15.pdf\">Graph approximation and clustering on a budget.<\/a>\u00a0<em>Ethan Fetaya<\/em>, Ohad Shamir, Shimon Ullman. AISTATS 2015.<\/li>\n<li><a class=\"gsc_vcd_title_link\" href=\"https:\/\/aip.scitation.org\/doi\/abs\/10.1063\/1.4726034\">Bounding the distance of quantum surface codes<\/a>. Ethan Fetaya, Journal of Mathematical Physics, 2012.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Preprints: A Study on the Evaluation of Generative Models, Eyal Betzalel, Coby Penso, Aviv Navon, and Ethan Fetaya. Communication Efficient Distributed Learning over Wireless Channels, Idan Achituve, Wenbo Wang, Ethan Fetaya, Amir Leshem. Equivariant Architectures for Learning in Deep Weight Spaces, Aviv Navon, Aviv Shamsian, Idan Achituve, Ethan Fetaya, Gal Chechik, Haggai Maron. Auxiliary Learning &hellip; <a href=\"https:\/\/www.eng.biu.ac.il\/fetayae\/publications\/\" class=\"more-link\">Continue reading <span class=\"screen-reader-text\">Publications<\/span> <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":84,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-12","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.eng.biu.ac.il\/fetayae\/wp-json\/wp\/v2\/pages\/12"}],"collection":[{"href":"https:\/\/www.eng.biu.ac.il\/fetayae\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.eng.biu.ac.il\/fetayae\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.eng.biu.ac.il\/fetayae\/wp-json\/wp\/v2\/users\/84"}],"replies":[{"embeddable":true,"href":"https:\/\/www.eng.biu.ac.il\/fetayae\/wp-json\/wp\/v2\/comments?post=12"}],"version-history":[{"count":20,"href":"https:\/\/www.eng.biu.ac.il\/fetayae\/wp-json\/wp\/v2\/pages\/12\/revisions"}],"predecessor-version":[{"id":175,"href":"https:\/\/www.eng.biu.ac.il\/fetayae\/wp-json\/wp\/v2\/pages\/12\/revisions\/175"}],"wp:attachment":[{"href":"https:\/\/www.eng.biu.ac.il\/fetayae\/wp-json\/wp\/v2\/media?parent=12"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}