{"id":1587,"date":"2024-05-31T21:23:21","date_gmt":"2024-05-31T20:23:21","guid":{"rendered":"https:\/\/pages.di.unipi.it\/bacciu\/?p=1587"},"modified":"2024-06-13T21:24:11","modified_gmt":"2024-06-13T20:24:11","slug":"a-streak-of-new-papers-accepted-recently-ijcai-icml-uai-naacl","status":"publish","type":"post","link":"https:\/\/pages.di.unipi.it\/bacciu\/2024\/05\/31\/a-streak-of-new-papers-accepted-recently-ijcai-icml-uai-naacl\/","title":{"rendered":"A streak of new papers accepted recently (IJCAI, ICML, UAI &amp; NAACL)"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\">Very productive spring in the lab with 4 newly accepted papers at top ML conferences by Alessio Gravina, Riccardo Massidda and Michele Resta. Congrats guys!<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Check here if you are interested in <strong>deep learning models for dynamic graphs<\/strong>, as seen through the lenses of neural ODEs:<\/p>\n\n\n\n<pre class=\"wp-block-verse\">Gravina, A., Lovisotto, G., Gallicchio, C., Bacciu, D., &amp; Grohnfeldt, C. (2024). Long Range Propagation on Continuous-Time Dynamic Graphs. ICML 2024, <a href=\"https:\/\/arxiv.org\/abs\/2406.02740\">https:\/\/arxiv.org\/abs\/2406.02740<\/a> <\/pre>\n\n\n\n<pre class=\"wp-block-verse\">Gravina, A., Zambon, D., Bacciu, D., &amp; Alippi, C. (2024). Temporal Graph ODEs for Irregularly-Sampled Time Series. IJCAI 2024, <a href=\"https:\/\/arxiv.org\/abs\/2404.19508\">https:\/\/arxiv.org\/abs\/2404.19508<\/a><\/pre>\n\n\n\n<p class=\"wp-block-paragraph\">Here is the result of a joint collaboration with <a href=\"https:\/\/saramagliacane.github.io\/\">Sara Magliacane<\/a> at University of Amsterdam on <strong>learning causal abstractions<\/strong>:<\/p>\n\n\n\n<pre class=\"wp-block-verse\">Massidda, Riccardo, Sara Magliacane, and Davide Bacciu. \"Learning Causal Abstractions of Linear Structural Causal Models.\" UAI 2024, <a href=\"https:\/\/arxiv.org\/abs\/2406.00394\">https:\/\/arxiv.org\/abs\/2406.00394<\/a><\/pre>\n\n\n\n<p class=\"wp-block-paragraph\">Last but not least, learn how you can use your multilingual language model to <strong>self-generate experiences to constrast catastrophic forgetting <\/strong>in continual incremental language learning:<\/p>\n\n\n\n<pre class=\"wp-block-verse\">Resta, Michele, and Davide Bacciu  Self-generated Replay Memories for Continual Neural Machine Translation. NAACL 2024, <a href=\"https:\/\/arxiv.org\/abs\/2403.13130\">https:\/\/arxiv.org\/abs\/2403.13130<\/a><\/pre>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"800\" height=\"286\" src=\"https:\/\/pages.di.unipi.it\/bacciu\/wp-content\/uploads\/sites\/12\/2024\/06\/1717661057361.jpg\" alt=\"\" class=\"wp-image-1588\" srcset=\"https:\/\/pages.di.unipi.it\/bacciu\/wp-content\/uploads\/sites\/12\/2024\/06\/1717661057361.jpg 800w, https:\/\/pages.di.unipi.it\/bacciu\/wp-content\/uploads\/sites\/12\/2024\/06\/1717661057361-300x107.jpg 300w, https:\/\/pages.di.unipi.it\/bacciu\/wp-content\/uploads\/sites\/12\/2024\/06\/1717661057361-768x275.jpg 768w, https:\/\/pages.di.unipi.it\/bacciu\/wp-content\/uploads\/sites\/12\/2024\/06\/1717661057361-624x223.jpg 624w\" sizes=\"auto, (max-width: 800px) 100vw, 800px\" \/><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>Very productive spring in the lab with 4 newly accepted papers at top ML conferences by Alessio Gravina, Riccardo Massidda and Michele Resta. Congrats guys! Check here if you are interested in deep learning models for dynamic graphs, as seen through the lenses of neural ODEs: Gravina, A., Lovisotto, G., Gallicchio, C., Bacciu, D., &amp; [&hellip;]<\/p>\n","protected":false},"author":19,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"class_list":["post-1587","post","type-post","status-publish","format-standard","hentry","category-news"],"_links":{"self":[{"href":"https:\/\/pages.di.unipi.it\/bacciu\/wp-json\/wp\/v2\/posts\/1587","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pages.di.unipi.it\/bacciu\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/pages.di.unipi.it\/bacciu\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/pages.di.unipi.it\/bacciu\/wp-json\/wp\/v2\/users\/19"}],"replies":[{"embeddable":true,"href":"https:\/\/pages.di.unipi.it\/bacciu\/wp-json\/wp\/v2\/comments?post=1587"}],"version-history":[{"count":3,"href":"https:\/\/pages.di.unipi.it\/bacciu\/wp-json\/wp\/v2\/posts\/1587\/revisions"}],"predecessor-version":[{"id":1591,"href":"https:\/\/pages.di.unipi.it\/bacciu\/wp-json\/wp\/v2\/posts\/1587\/revisions\/1591"}],"wp:attachment":[{"href":"https:\/\/pages.di.unipi.it\/bacciu\/wp-json\/wp\/v2\/media?parent=1587"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/pages.di.unipi.it\/bacciu\/wp-json\/wp\/v2\/categories?post=1587"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/pages.di.unipi.it\/bacciu\/wp-json\/wp\/v2\/tags?post=1587"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}