{"id":24,"date":"2023-04-02T21:31:59","date_gmt":"2023-04-02T19:31:59","guid":{"rendered":"https:\/\/hachem-kadri.pedaweb.univ-amu.fr\/wordpress\/?page_id=24"},"modified":"2025-12-26T18:30:36","modified_gmt":"2025-12-26T17:30:36","slug":"software","status":"publish","type":"page","link":"https:\/\/hachem-kadri.pedaweb.univ-amu.fr\/wordpress\/software\/","title":{"rendered":"Software"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading has-text-align-left\">ML Pipeline for Quantum Separability and Entanglement Detection<\/h3>\n\n\n\n<p class=\"remove-top-space-6 wp-block-paragraph\">A Python library for quantum separability and entanglement detection via machine learning.<br><a href=\"https:\/\/gitlab.lis-lab.fr\/hachem.kadri\/ML-Quant-Sep\" data-type=\"link\" data-id=\"https:\/\/gitlab.lis-lab.fr\/hachem.kadri\/ML-Quant-Sep\"><mark style=\"background-color:rgba(0, 0, 0, 0);color:#0469e4\" class=\"has-inline-color\">Code<\/mark><\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<div style=\"height:15px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading has-text-align-left\">Scikit-MultimodalLearn<\/h3>\n\n\n\n<p class=\"remove-top-space-6 wp-block-paragraph\">A Python library for multimodal supervised learning, licensed under Free BSD, and compatible with the well-known scikit-learn toolbox. JMLR 2022.<br><a href=\"https:\/\/github.com\/dbenielli\/scikit-multimodallearn\"><mark style=\"background-color:rgba(0, 0, 0, 0);color:#076be3\" class=\"has-inline-color\">Code<\/mark><\/a><\/p>\n\n\n\n<div style=\"height:15px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading has-text-align-left\">Quantum Perceptron<\/h3>\n\n\n\n<p class=\"remove-top-space-6 wp-block-paragraph\">Computational-statistical tradeoffs of quantum perceptron models. UAI 2022.<br><a href=\"https:\/\/github.com\/mroget\/Quantum-perceptron-models\"><mark style=\"background-color:rgba(0, 0, 0, 0);color:#076be3\" class=\"has-inline-color\">Code<\/mark><\/a><\/p>\n\n\n\n<div style=\"height:15px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading has-text-align-left\">Leverage Score Sampling for the Nystr\u00f6m Method<\/h3>\n\n\n\n<p class=\"remove-top-space-6 wp-block-paragraph\">A divide-and-conquer algorithm to approximate leverage scores. ICASSP 2022.<br><a href=\"https:\/\/github.com\/DAC-paper\/Divide_And_Conquer_leverage_score_approximation\"><mark style=\"background-color:rgba(0, 0, 0, 0);color:#076be3\" class=\"has-inline-color\">Code<\/mark><\/a><\/p>\n\n\n\n<div style=\"height:15px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading has-text-align-left\">Sparse Optimization via the Product of Sparse Matrices<\/h3>\n\n\n\n<p class=\"remove-top-space-6 wp-block-paragraph\">Compressing deep neural networks. IJCNN 2021.<br><a href=\"https:\/\/github.com\/lucgiffon\/psm-nets\"><mark style=\"background-color:rgba(0, 0, 0, 0);color:#076be3\" class=\"has-inline-color\">Code<\/mark><\/a><\/p>\n\n\n\n<p class=\"remove-top-space-10 wp-block-paragraph\">QuicK-means: clustering with learned fast transforms. MLJ 2021.<br><a href=\"https:\/\/github.com\/lucgiffon\/qkmeans\"><mark style=\"background-color:rgba(0, 0, 0, 0);color:#076be3\" class=\"has-inline-color\">Code<\/mark><\/a><\/p>\n\n\n\n<div style=\"height:15px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading has-text-align-left\">Partial Trace Regression<\/h3>\n\n\n\n<p class=\"remove-top-space-6 wp-block-paragraph\">Matrix-to-matrix regression. ICML 2020.<br><a href=\"https:\/\/github.com\/Stef-hub\/partial_trace_kraus\"><mark style=\"background-color:rgba(0, 0, 0, 0);color:#076be3\" class=\"has-inline-color\">Code<\/mark><\/a><\/p>\n\n\n\n<div style=\"height:15px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h3 class=\"wp-block-heading has-text-align-left\">Entangled Kernels<\/h3>\n\n\n\n<p class=\"remove-top-space-6 wp-block-paragraph\">A new class of operator-valued kernels and entangled kernel learning. IJCAI 2019.<br><a href=\"https:\/\/github.com\/RiikkaHuu\/EKL\"><mark style=\"background-color:rgba(0, 0, 0, 0);color:#076be3\" class=\"has-inline-color\">Code<\/mark><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>ML Pipeline for Quantum Separability and Entanglement Detection A Python library for quantum separability and entanglement detection via machine learning.Code Scikit-MultimodalLearn A Python library for&#8230;<\/p>\n<div class=\"more-link-wrapper\"><a class=\"more-link\" href=\"https:\/\/hachem-kadri.pedaweb.univ-amu.fr\/wordpress\/software\/\">Continue reading<span class=\"screen-reader-text\">Software<\/span><\/a><\/div>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-24","page","type-page","status-publish","hentry","entry"],"_links":{"self":[{"href":"https:\/\/hachem-kadri.pedaweb.univ-amu.fr\/wordpress\/wp-json\/wp\/v2\/pages\/24","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/hachem-kadri.pedaweb.univ-amu.fr\/wordpress\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/hachem-kadri.pedaweb.univ-amu.fr\/wordpress\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/hachem-kadri.pedaweb.univ-amu.fr\/wordpress\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/hachem-kadri.pedaweb.univ-amu.fr\/wordpress\/wp-json\/wp\/v2\/comments?post=24"}],"version-history":[{"count":98,"href":"https:\/\/hachem-kadri.pedaweb.univ-amu.fr\/wordpress\/wp-json\/wp\/v2\/pages\/24\/revisions"}],"predecessor-version":[{"id":823,"href":"https:\/\/hachem-kadri.pedaweb.univ-amu.fr\/wordpress\/wp-json\/wp\/v2\/pages\/24\/revisions\/823"}],"wp:attachment":[{"href":"https:\/\/hachem-kadri.pedaweb.univ-amu.fr\/wordpress\/wp-json\/wp\/v2\/media?parent=24"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}