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• Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction

  Kangkang Lu, Yanhua Yu, Hao Fei, Xuan Li, Zixuan Yang, Zirui Guo, Meiyu Liang, Mengran Yin, Tat-Seng Chua

  14158-14166

  2024-03-24

• Permutation-Based Hypothesis Testing for Neural Networks

  Francesca Mandel, Ian Barnett

  14306-14314

  2024-03-24

• FSTA-SNN:Frequency-Based Spatial-Temporal Attention Module for Spiking Neural Networks

  Kairong Yu, Tianqing Zhang, Hongwei Wang, Qi Xu

  22227-22235

  2025-04-11

• Exploring Salient Object Detection with Adder Neural Networks

  Bo-Wen Yin, Zheng Lin

  9490-9498

  2025-04-11

• CFGNN: Cross Flow Graph Neural Networks for Question Answering on Complex Tables

  Xuanyu Zhang

  9596-9603

  2020-04-03

• Graph Neural Networks with Soft Association between Topology and Attribute

  Yachao Yang, Yanfeng Sun, Shaofan Wang, Jipeng Guo, Junbin Gao, Fujiao Ju, Baocai Yin

  9260-9268

  2024-03-24

• Two Birds with One Stone: Investigating Invertible Neural Networks for Inverse Problems in Morphology

  Gözde Gül Şahin, Iryna Gurevych

  7814-7821

  2020-04-03

• SpreadGNN: Decentralized Multi-Task Federated Learning for Graph Neural Networks on Molecular Data

  Chaoyang He, Emir Ceyani, Keshav Balasubramanian, Murali Annavaram, Salman Avestimehr

  6865-6873

  2022-06-28

• Formalising the Robustness of Counterfactual Explanations for Neural Networks

  Junqi Jiang, Francesco Leofante, Antonio Rago, Francesca Toni

  14901-14909

  2023-06-26

• StatEcoNet: Statistical Ecology Neural Networks for Species Distribution Modeling

  Eugene Seo, Rebecca A. Hutchinson, Xiao Fu, Chelsea Li, Tyler A. Hallman, John Kilbride, W. Douglas Robinson

  513-521

  2021-05-18

• Temporal-Aware Evaluation and Learning for Temporal Graph Neural Networks

  Junwei Su, Shan Wu

  20628-20636

  2025-04-11

• Sheaf Graph Neural Networks via PAC-Bayes Spectral Optimization

  Yoonhyuk Choi, Jiho Choi, Taewook Ko, JongWook Kim, Chong-Kwon Kim

  20570-20578

  2026-03-14

• Provably Powerful Graph Neural Networks for Directed Multigraphs

  Béni Egressy, Luc von Niederhäusern, Jovan Blanuša, Erik Altman, Roger Wattenhofer, Kubilay Atasu

  11838-11846

  2024-03-24

• Number Theoretic Accelerated Learning of Physics-Informed Neural Networks

  Takashi Matsubara, Takaharu Yaguchi

  595-603

  2025-04-11

• DeepBern-Nets: Taming the Complexity of Certifying Neural Networks Using Bernstein Polynomial Activations and Precise Bound Propagation

  Haitham Khedr, Yasser Shoukry

  21232-21240

  2024-03-24

• Human Uncertainty Inference via Deterministic Ensemble Neural Networks

  Yujin Cha, Sang Wan Lee

  5877-5886

  2021-05-18

• Uncertainty-Matching Graph Neural Networks to Defend Against Poisoning Attacks

  Uday Shankar Shanthamallu, Jayaraman J. Thiagarajan, Andreas Spanias

  9524-9532

  2021-05-18

• Verification and Repair of Neural Networks

  Dario Guidotti

  15714-15715

  2021-05-18

• Particle Filter Recurrent Neural Networks

  Xiao Ma, Peter Karkus, David Hsu, Wee Sun Lee

  5101-5108

  2020-04-03

• Testing the Channels of Convolutional Neural Networks

  Kang Choi, Donghyun Son, Younghoon Kim, Jiwon Seo

  14774-14782

  2023-06-26

• Spatio-Temporal Pivotal Graph Neural Networks for Traffic Flow Forecasting

  Weiyang Kong, Ziyu Guo, Yubao Liu

  8627-8635

  2024-03-24

• Deep Q-learning From Demonstrations

  Todd Hester, Matej Vecerik, Olivier Pietquin, Marc Lanctot, Tom Schaul, Bilal Piot, Dan Horgan, John Quan, Andrew Sendonaris, Ian Osband, Gabriel Dulac-Arnold, John Agapiou, Joel Leibo, Audrunas Gruslys

  2018-04-29

• Deep Representation Learning with Target Coding

  Shuo Yang, Ping Luo, Chen Change Loy, Kenneth W. Shum, Xiaoou Tang

  2015-03-04

• SuperVAE: Superpixelwise Variational Autoencoder for Salient Object Detection

  Bo Li, Zhengxing Sun, Yuqi Guo

  8569-8576

  2019-07-17

• Multi-Step Time Series Generator for Molecular Dynamics

  Katsuhiro Endo, Katsufumi Tomobe, Kenji Yasuoka

  2018-04-26