{"id":41067,"date":"2025-10-16T10:17:27","date_gmt":"2025-10-16T08:17:27","guid":{"rendered":"https:\/\/www.l3s.de\/?p=41067"},"modified":"2025-10-16T10:19:15","modified_gmt":"2025-10-16T08:19:15","slug":"four-l3s-papers-accepted-at-neurips-2025","status":"publish","type":"post","link":"https:\/\/www.l3s.de\/de\/four-l3s-papers-accepted-at-neurips-2025\/","title":{"rendered":"Vier L3S Beitr\u00e4ge f\u00fcr NeurIPS 2025 angenommen"},"content":{"rendered":"<p class=\"wp-block-paragraph\">Wir freuen uns sehr, bekannt geben zu d\u00fcrfen, dass vier Forschungsarbeiten von L3S-Forschern f\u00fcr die <strong>NeurIPS 2025 \u2013 The Thirty-Ninth Annual Conference on Neural Information Processing Systems<\/strong> (<a href=\"https:\/\/neurips.cc\">neurips.cc<\/a>) angenommen wurden, eine der weltweit f\u00fchrenden Konferenzen im Bereich k\u00fcnstliche Intelligenz und maschinelles Lernen.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Die angenommenen Arbeiten zeigen die Bandbreite der KI-Forschung am L3S, die von Emotionserkennung \u00fcber Videoverst\u00e4ndnis bis hin zu erkl\u00e4rbarer und interpretierbarer KI und der Optimierung neuronaler Architekturen reicht. Zusammen unterstreichen sie unsere kontinuierlichen Bem\u00fchungen, eine vertrauensw\u00fcrdige, effiziente und menschenzentrierte KI voranzutreiben.<\/p>\n\n\n\n<div style=\"height:60px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Angenommene Beitr\u00e4ge:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"http:\/\/EmoNet-Face: An Expert-Annotated Benchmark for Synthetic Emotion Recognition\" target=\"_blank\" rel=\"noopener nofollow\" title=\"\"><strong>EmoNet-Face: An Expert-Annotated Benchmark for Synthetic Emotion Recognition<\/strong><\/a><br><em>(Christoph Schuhmann, Robert Kaczmarczyk, Gollam Rabby, Felix Friedrich, Maurice Kraus, Krishna Kalyan, Kourosh Nadi, Huu Nguyen, Kristian Kersting, S\u00f6ren Auer)<\/em><br><\/li>\n\n\n\n<li><strong>Enhancing Temporal Understanding in Video-LLMs through Stacked Temporal Attention in Vision Encoders<\/strong><br><em>(Ali Rasekh, Erfan Bagheri Soula, Omid Daliran, Simon Gottschalk, Mohsen Fayyaz)<\/em><br><\/li>\n\n\n\n<li><strong>CHiQPM: Calibrated Hierarchical Interpretable Image Classification<\/strong><br><em>(Thomas Norrenbrock, Timo Kaiser, Sovan Biswas, Neslihan Kose, Ramesh Manuvinakurike, Bodo Rosenhahn)<\/em><br><\/li>\n\n\n\n<li><a href=\"https:\/\/arxiv.org\/abs\/2502.13251\" target=\"_blank\" rel=\"noopener nofollow\" title=\"\"><strong>Neural Attention Search<\/strong><\/a><br><em>(Difan Deng, Marius Lindauer)<\/em><br><\/li>\n<\/ul>\n\n\n\n<div style=\"height:60px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p class=\"wp-block-paragraph\">Herzlichen Gl\u00fcckwunsch an alle Autoren zu dieser herausragenden Leistung und ihrem Beitrag zur F\u00f6rderung der Spitzenforschung im Bereich der k\u00fcnstlichen Intelligenz am L3S!<\/p>","protected":false},"excerpt":{"rendered":"<p>We are delighted to announce that four research papers from L3S researchers have been accepted at NeurIPS 2025 \u2013 The Thirty-Ninth Annual Conference on Neural Information Processing Systems (neurips.cc), one of the world\u2019s leading conferences in artificial intelligence and machine learning. The accepted works showcase the breadth of AI research at L3S, spanning emotion recognition, [&hellip;]<\/p>\n","protected":false},"author":4,"featured_media":41068,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[10,162],"tags":[],"class_list":["post-41067","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","category-research-highlight"],"acf":[],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 4.9.8 - aioseo.com -->\n\t<meta name=\"description\" content=\"We are delighted to announce that four research papers from L3S researchers have been accepted at NeurIPS 2025.\" \/>\n\t<meta name=\"robots\" content=\"max-image-preview:large\" \/>\n\t<meta name=\"author\" content=\"Annika Schumann\"\/>\n\t<link rel=\"canonical\" href=\"https:\/\/www.l3s.de\/de\/four-l3s-papers-accepted-at-neurips-2025\/\" \/>\n\t<meta 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