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"Time": models, code, and papers
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Discovering ordinary differential equations that govern time-series

Nov 05, 2022
Sören Becker, Michal Klein, Alexander Neitz, Giambattista Parascandolo, Niki Kilbertus

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A Cross-Scale Hierarchical Transformer with Correspondence-Augmented Attention for inferring Bird's-Eye-View Semantic Segmentation

Apr 07, 2023
Naiyu Fang, Lemiao Qiu, Shuyou Zhang, Zili Wang, Kerui Hu, Kang Wang

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Two-shot Video Object Segmentation

Mar 21, 2023
Kun Yan, Xiao Li, Fangyun Wei, Jinglu Wang, Chenbin Zhang, Ping Wang, Yan Lu

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Inflation forecasting with attention based transformer neural networks

Mar 29, 2023
Maximilian Tschuchnig, Petra Tschuchnig, Cornelia Ferner, Michael Gadermayr

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A Compositional Approach to Certifying the Almost Global Asymptotic Stability of Cascade Systems

Mar 29, 2023
Jake Welde, Matthew D. Kvalheim, Vijay Kumar

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Who You Play Affects How You Play: Predicting Sports Performance Using Graph Attention Networks With Temporal Convolution

Mar 29, 2023
Rui Luo, Vikram Krishnamurthy

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Learning Complicated Manipulation Skills via Deterministic Policy with Limited Demonstrations

Mar 29, 2023
Liu Haofeng, Chen Yiwen, Tan Jiayi, Marcelo H Ang

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Training Neural Networks is NP-Hard in Fixed Dimension

Mar 29, 2023
Vincent Froese, Christoph Hertrich

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Safe Perception-Based Control under Stochastic Sensor Uncertainty using Conformal Prediction

Apr 01, 2023
Shuo Yang, George J. Pappas, Rahul Mangharam, Lars Lindemann

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Leveraging Neo4j and deep learning for traffic congestion simulation & optimization

Apr 01, 2023
Shyam Pratap Singh, Arshad Ali Khan, Riad Souissi, Syed Adnan Yusuf

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