基本信息
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职业迁徙
个人简介
My interests are in machine learning from
graph-structured data, natural language processing, and improving machine learning systems
by drawing connections to other fields of AI, such as knowledge representation and reasoning, and formal verification. My research vision is to design representation learning and deep
learning models that are statistically robust and trustworthy, data-efficient, verifiable, and
explainable, and their applications.
graph-structured data, natural language processing, and improving machine learning systems
by drawing connections to other fields of AI, such as knowledge representation and reasoning, and formal verification. My research vision is to design representation learning and deep
learning models that are statistically robust and trustworthy, data-efficient, verifiable, and
explainable, and their applications.
研究兴趣
论文共 98 篇作者统计合作学者相似作者
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arxiv(2024)
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Simone Scardapane, Alessandro Baiocchi, Alessio Devoto, Valerio Marsocci,Pasquale Minervini,Jary Pomponi
arxiv(2024)
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Xiaoliang Luo, Akilles Rechardt,Guangzhi Sun, Kevin K. Nejad,Felipe Yáñez, Bati Yilmaz, Kangjoo Lee, Alexandra O. Cohen,Valentina Borghesani, Anton Pashkov,Daniele Marinazzo, Jonathan Nicholas,
arxiv(2024)
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Giwon Hong,Aryo Pradipta Gema, Rohit Saxena, Xiaotang Du,Ping Nie,Yu Zhao,Laura Perez-Beltrachini,Max Ryabinin,Xuanli He,Clémentine Fourrier,Pasquale Minervini
arxiv(2024)
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arxiv(2024)
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Yu Zhao, Yuanbin Qu, Konrad Staniszewski,Szymon Tworkowski,Wei Liu,Piotr Miłoś,Yuxiang Wu,Pasquale Minervini
CoRR (2024)
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