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MAPN: Enhancing Heterogeneous Sparse Graph Representation by Mamba-based Asynchronous Aggregation

19 Xuqi Mao, Zhenying He, X. Sean Wang 02-27 10:42

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Asteroid shape inversion with light curves using deep learning

15 YiJun Tang, ChenChen Ying, ChengZhe Xia, XiaoMing Zhang, XiaoJun Jiang 02-25 17:24

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Lattice-Based Pruning in Recurrent Neural Networks via Poset Modeling

9 Rakesh Sengupta 02-25 16:58

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Deep unrolling for learning optimal spatially varying regularisation parameters for Total Generalised Variation

11 Thanh Trung Vu, Andreas Kofler, Kostas Papafitsoros 02-25 16:54

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Galaxy mergers classification using CNNs trained on Sérsic models, residuals and raw images

10 D. Chudy, W.J. Pearson, A. Pollo, L.E. Suelves, B. Margalef-Bentabol, L. Wang, V. Rodriguez-Gomez, A. La Marca 02-25 16:50

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Automatic Joint Structured Pruning and Quantization for Efficient Neural Network Training and Compression

11 Xiaoyi Qu, David Aponte, Colby Banbury, Daniel P. Robinson, Tianyu Ding, Kazuhito Koishida, Ilya Zharkov, Tianyi Chen 02-25 16:02

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Subsampling Graphs with GNN Performance Guarantees

14 Mika Sarkin Jain, Stefanie Jegelka, Ishani Karmarkar, Luana Ruiz, Ellen Vitercik 02-25 14:11

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LLM-Based Contrastive Explanations in Black-Box Recommender Systems

7 Yuyan Wang, Pan Li, Minmin Chen 02-25 14:09

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Splitting Regularized Wasserstein Proximal Algorithms for Nonsmooth Sampling Problems

7 Fuqun Han, Stanley Osher, Wuchen Li 02-25 13:14

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A Circular FBG-based Method for Monitoring Transmission Line Ice Conditions

8 Zhuoke Qin, Bin Jia, Xiahui Shen, Lizhen Zhang, Honggang Lu, Chao Du, Liqin Cui, Li Zhang, Xiao Deng 02-25 13:11

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VGFL-SA: Vertical Graph Federated Learning Structure Attack Based on Contrastive Learning

7 Yang Chen, Bin Zhou 02-25 13:03

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Gabor-Enhanced Physics-Informed Neural Networks for Fast Simulations of Acoustic Wavefields

5 Mohammad Mahdi Abedi, David Pardo, Tariq Alkhalifah 02-25 13:00

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Leveraging recurrence in neural network wavefunctions

5 M. Schuyler Moss, Roeland Wiersema, Mohamed Hibat-Allah, Juan Carrasquilla, Roger G. Melko 02-25 12:58

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Machine learning the vanishing order of rational L-functions

10 Joanna Bieri, Giorgi Butbaia, Edgar Costa, Alyson Deines, Kyu-Hwan Lee, David Lowry-Duda, Thomas Oliver, Yidi Qi, Tamara Veenstra 02-17 17:12

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Thinker：规划和行动学习

153 University of Cambridge S Chung, I Anokhin, D Krueger 07-30 02:28

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ICLR 2022 | 基于对抗自注意力机制的预训练语言模型

394 Hongqiu Wu, Ruixue Ding, Hai Zhao, Pengjun Xie, Fei Huang, Min Zhang 07-30 02:27

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Google DeepMind等｜神经算法推理器的潜空间表示

431 University of Cambridge & Google DeepMind Vladimir V. Mirjanić (1), Razvan Pascanu (2), Petar Veličković (1 and 2) ((1) University of Cambridge, (2) Google DeepMind) 07-30 01:32

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伦敦大学等｜大型语言模型的挑战与应用

392 University College London Jean Kaddour, Joshua Harris, Maximilian Mozes, Herbie Bradley, Roberta Raileanu, Robert McHardy 07-29 22:49

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具备规划长程上下文理解和程序合成能力的真实世界WebAgent

380 Google DeepMind Izzeddin Gur, Hiroki Furuta, Austin Huang, Mustafa Safdari, Yutaka Matsuo, Douglas Eck, Aleksandra Faust 07-29 22:39

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333 DeepMind Adaptive Agent Team, Jakob Bauer, Kate Baumli, Satinder Baveja, Feryal Behbahani, Avishkar Bhoopchand, Nathalie Bradley-Schmieg, Michael Chang, Natalie Clay, Adrian Collister, Vibhavari Dasagi, Lucy Gonzalez, Karol Gregor, Edward Hughes, Sheleem Kashem, Maria Loks-Thompson, Hannah Openshaw, Jack Parker-Holder, Shreya Pathak, Nicolas Perez-Nieves, Nemanja Rakicevic, Tim Rocktäschel, Yannick Schroecker, Jakub Sygnowski, Karl Tuyls, Sarah York, Alexander Zacherl, Lei Zhang 07-29 20:17

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MAPN: Enhancing Heterogeneous Sparse Graph Representation by Mamba-based Asynchronous Aggregation

Asteroid shape inversion with light curves using deep learning

Lattice-Based Pruning in Recurrent Neural Networks via Poset Modeling

Deep unrolling for learning optimal spatially varying regularisation parameters for Total Generalised Variation

Galaxy mergers classification using CNNs trained on Sérsic models, residuals and raw images

Automatic Joint Structured Pruning and Quantization for Efficient Neural Network Training and Compression

Subsampling Graphs with GNN Performance Guarantees

LLM-Based Contrastive Explanations in Black-Box Recommender Systems

Splitting Regularized Wasserstein Proximal Algorithms for Nonsmooth Sampling Problems

A Circular FBG-based Method for Monitoring Transmission Line Ice Conditions

VGFL-SA: Vertical Graph Federated Learning Structure Attack Based on Contrastive Learning

Gabor-Enhanced Physics-Informed Neural Networks for Fast Simulations of Acoustic Wavefields

Leveraging recurrence in neural network wavefunctions

Machine learning the vanishing order of rational L-functions

Thinker：规划和行动学习

ICLR 2022 | 基于对抗自注意力机制的预训练语言模型

Google DeepMind等｜神经算法推理器的潜空间表示

伦敦大学等｜大型语言模型的挑战与应用

具备规划长程上下文理解和程序合成能力的真实世界WebAgent

DeepMind｜Ada开放式任务空间中的人类时间尺度适应