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"Time": models, code, and papers
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MODIPHY: Multimodal Obscured Detection for IoT using PHantom Convolution-Enabled Faster YOLO

Feb 12, 2024
Shubhabrata Mukherjee, Cory Beard, Zhu Li

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Foundational Inference Models for Dynamical Systems

Feb 12, 2024
Patrick Seifner, Kostadin Cvejoski, Ramses J. Sanchez

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PatchAD: Patch-based MLP-Mixer for Time Series Anomaly Detection

Jan 24, 2024
Zhijie Zhong, Zhiwen Yu, Yiyuan Yang, Weizheng Wang, Kaixiang Yang

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Interpreting Time Series Transformer Models and Sensitivity Analysis of Population Age Groups to COVID-19 Infections

Jan 26, 2024
Md Khairul Islam, Tyler Valentine, Timothy Joowon Sue, Ayush Karmacharya, Luke Neil Benham, Zhengguang Wang, Kingsley Kim, Judy Fox

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You've Got to Feel It To Believe It: Multi-Modal Bayesian Inference for Semantic and Property Prediction

Feb 15, 2024
Parker Ewen, Hao Chen, Yuzhen Chen, Anran Li, Anup Bagali, Gitesh Gunjal, Ram Vasudevan

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LLM-based Federated Recommendation

Feb 15, 2024
Jujia Zhao, Wenjie Wang, Chen Xu, Zhaochun Ren, See-Kiong Ng, Tat-Seng Chua

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Deep Reinforcement Learning for Controlled Traversing of the Attractor Landscape of Boolean Models in the Context of Cellular Reprogramming

Feb 13, 2024
Andrzej Mizera, Jakub Zarzycki

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Sampling from the Mean-Field Stationary Distribution

Feb 13, 2024
Yunbum Kook, Matthew S. Zhang, Sinho Chewi, Murat A. Erdogdu, Mufan Bill Li

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Efficient Numerical Wave Propagation Enhanced By An End-to-End Deep Learning Model

Feb 13, 2024
Luis Kaiser, Richard Tsai, Christian Klingenberg

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Unveiling Group-Specific Distributed Concept Drift: A Fairness Imperative in Federated Learning

Feb 12, 2024
Teresa Salazar, João Gama, Helder Araújo, Pedro Henriques Abreu

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