Migration as a Probe: A Generalizable Benchmark Framework for Specialist vs. Generalist Machine-Learned Force Fields
Yi Cao, Paulette Clancy
机构
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Johns Hopkins University(约翰霍普金斯大学)
Comments10 pages (+Appendix 22 pages), 8 figures. To appear in 39th Conference on Neural Information Processing Systems (NeurIPS 2025) Workshop: AI for Accelerated Materials Discovery (AI4Mat) Workshop. Code and datasets available at https://github.com/yicao-elina/MigrationBench.git
Landmark-Based Node Representations for Shortest Path Distance Approximations in Random Graphs
My Le, Luana Ruiz, Souvik Dhara
机构
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Dept. of Applied Mathematics & Statistics(应用数学与统计学系)
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Johns Hopkins University(约翰霍普金斯大学)
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School of Industrial and Systems Engineering(工业与系统工程学院)
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Georgia Institute of Technology(佐治亚理工学院)
CommentsLandmark-based embeddings preserve global distances in graphs more efficiently; on Erdos-Renyi random graphs they need lower dimensions, and GNNs generalize these embeddings to large real-world networks
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The Chinese University of Hong Kong(香港中文大学)
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Johns Hopkins University(约翰霍普金斯大学)
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The Australian National University(澳大利亚国立大学)
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University of Texas at Austin(德克萨斯大学奥斯汀分校)
Scaling Artificial Intelligence for Multi-Tumor Early Detection with More Reports, Fewer Masks
Pedro R. A. S. Bassi, Xinze Zhou, Wenxuan Li, Szymon Płotka, Jieneng Chen, Qi Chen, Zheren Zhu, Jakub Prządo, Ibrahim E. Hamacı, Sezgin Er, Yuhan Wang, Ashwin Kumar, Bjoern Menze, Jarosław B. Ćwikła, Yuyin Zhou, Akshay S. Chaudhari, Curtis P. Langlotz, Sergio Decherchi, Andrea Cavalli, Kang Wang, Yang Yang, Alan L. Yuille, Zongwei Zhou
机构
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Johns Hopkins University(约翰霍普金斯大学)
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University of Bologna(博洛尼亚大学)
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Istituto Italiano di Tecnologia(意大利理工学院)
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Jagiellonian University(雅盖隆大学)
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University of California, Berkeley(加州大学伯克利分校)
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Warmian-Masurian Cancer Center(马里安马祖尔癌症中心)
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University of Zurich(苏黎世大学)
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ETH AI Center(苏黎世联邦理工学院人工智能中心)
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Istanbul Medipol University(伊斯坦布尔梅迪波尔大学)
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University of California, Santa Cruz(加州大学圣克鲁兹分校)
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Stanford University(斯坦福大学)
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University of Warmia and Mazury(马里安马祖尔大学)
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École Polytechnique Fédérale de Lausanne(洛桑联邦理工学院)
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University of California, San Francisco(加州大学旧金山分校)
Response to Discussions of "Causal and Counterfactual Views of Missing Data Models"
Razieh Nabi, Rohit Bhattacharya, Ilya Shpitser, James M. Robins
机构
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Department of Biostatistics and Bioinformatics, Emory University(生物统计学与生物信息学系,埃默里大学)
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Department of Computer Science, Williams College(计算机科学系,威廉姆斯学院)
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Department of Computer Science, Johns Hopkins University(计算机科学系,约翰霍普金斯大学)
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Departments of Biostatistics and Epidemiology, Harvard University(生物统计学与流行病学系,哈佛大学)
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Harvard University(哈佛大学)
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University of Chinese Academy of Sciences(中国科学院大学)
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Tsinghua University(清华大学)
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Johns Hopkins University(约翰霍普金斯大学)
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MIT-IBM Watson AI Lab(MIT-IBM Watson人工智能实验室)
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UMass Amherst(马萨诸塞大学阿姆赫斯特分校)
Knowledge Graph Sparsification for GNN-based Rare Disease Diagnosis
Premt Cara, Kamilia Zaripova, David Bani-Harouni, Nassir Navab, Azade Farshad
机构
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Department of Computer Science, Technical University of Munich(技术大学慕尼黑计算机科学系)
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Munich Center for Machine Learning (MCML), Munich, Germany(慕尼黑机器学习中心(MCML))
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Johns Hopkins University, Baltimore, Maryland, USA(约翰霍普金斯大学)
机构
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University of North Carolina, Chapel Hill(北卡罗来纳大学 Chapel Hill 分校)
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Johns Hopkins University(约翰霍普金斯大学)
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University of California, Los Angeles(加州大学洛杉矶分校)
Multi-Target Backdoor Attacks Against Speaker Recognition
Alexandrine Fortier, Sonal Joshi, Thomas Thebaud, Jesús Villalba, Najim Dehak, Patrick Cardinal
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Department of Software and IT Engineering, École de technologie supérieure, Québec, Canada(软件与信息技术工程系,École de technologie supérieure)
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Department of Electrical and Computer Engineering, Johns Hopkins University, Maryland, USA(电气与计算机工程系,约翰霍普金斯大学)
CommentsAccepted to IEEE Automatic Speech Recognition and Understanding Workshop 2025