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• Learning Hybrid Dynamics Models with Simulator-Informed Latent States

  Katharina Ensinger, Sebastian Ziesche, Sebastian Trimpe

  11892-11900

  2024-03-24

• Responsive Dynamic Graph Disentanglement for Metro Flow Forecasting

  Qiang Gao, Zizheng Wang, Li Huang, Goce Trajcevski, Guisong Liu, Xueqin Chen

  11690-11698

  2025-04-11

• Gated Residual Recurrent Graph Neural Networks for Traffic Prediction

  Cen Chen, Kenli Li, Sin G. Teo, Xiaofeng Zou, Kang Wang, Jie Wang, Zeng Zeng

  485-492

  2019-07-17

• Self-Paced Learning Based Graph Convolutional Neural Network for Mixed Integer Programming (Student Abstract)

  Li Chen, Hua Xu, Ziteng Wang, Chengming Wang, Yu Jiang

  16188-16189

  2024-07-15

• Educational Question Mining At Scale: Prediction, Analysis and Personalization

  Zichao Wang, Sebastian Tschiatschek, Simon Woodhead, José Miguel Hernández-Lobato, Simon Peyton Jones, Richard G. Baraniuk, Cheng Zhang

  15669-15677

  2021-05-18

• HLHLp: Quantized Neural Networks Training for Reaching Flat Minima in Loss Surface

  Sungho Shin, Jinhwan Park, Yoonho Boo, Wonyong Sung

  5784-5791

  2020-04-03

• DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation

  Jungeun Kim, Kookjin Lee, Dongeun Lee, Sheo Yon Jhin, Noseong Park

  8146-8154

  2021-05-18

• Let Your Photos Talk: Generating Narrative Paragraph for Photo Stream via Bidirectional Attention Recurrent Neural Networks

  Yu Liu, Jianlong Fu, Tao Mei, Chang Wen Chen

  2017-02-12

• Shuffling Recurrent Neural Networks

  Michael Rotman, Lior Wolf

  9428-9435

  2021-05-18

• Water Advisor - A Data-Driven, Multi-Modal, Contextual Assistant to Help With Water Usage Decisions

  Jason Ellis, Biplav Srivastava, Rachel Bellamy, Andy Aaron

  2018-04-29

• Neural Reasoning Networks: Efficient Interpretable Neural Networks with Automatic Textual Explanations

  Stephen Carrow, Kyle Erwin, Olga Vilenskaia, Parikshit Ram, Tim Klinger, Naweed Khan, Ndivhuwo Makondo, Alexander G. Gray

  15669-15677

  2025-04-11

• Deep Fusing Pre-trained Models into Neural Machine Translation

  Rongxiang Weng, Heng Yu, Weihua Luo, Min Zhang

  11468-11476

  2022-06-28

• PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion

  Yige Yuan, Bingbing Xu, Bo Lin, Liang Hou, Fei Sun, Huawei Shen, Xueqi Cheng

  16614-16622

  2024-03-24

• Compressing Recurrent Neural Networks with Tensor Ring for Action Recognition

  Yu Pan, Jing Xu, Maolin Wang, Jinmian Ye, Fei Wang, Kun Bai, Zenglin Xu

  4683-4690

  2019-07-17

• Differential Privacy Preservation for Deep Auto-Encoders: an Application of Human Behavior Prediction

  NhatHai Phan, Yue Wang, Xintao Wu, Dejing Dou

  2016-02-21

• HoD-Net: High-Order Differentiable Deep Neural Networks and Applications

  Siyuan Shen, Tianjia Shao, Kun Zhou, Chenfanfu Jiang, Feng Luo, Yin Yang

  8249-8258

  2022-06-28

• FInfer: Frame Inference-Based Deepfake Detection for High-Visual-Quality Videos

  Juan Hu, Xin Liao, Jinwen Liang, Wenbo Zhou, Zheng Qin

  951-959

  2022-06-28

• Let There Be Sound: Reconstructing High Quality Speech from Silent Videos

  Ji-Hoon Kim, Jaehun Kim, Joon Son Chung

  2759-2767

  2024-03-24

• Latent Autoregressive Source Separation

  Emilian Postolache, Giorgio Mariani, Michele Mancusi, Andrea Santilli, Luca Cosmo, Emanuele Rodolà

  9444-9452

  2023-06-26

• Interpretable Knowledge Tracing: Simple and Efficient Student Modeling with Causal Relations

  Sein Minn, Jill-Jênn Vie, Koh Takeuchi, Hisashi Kashima, Feida Zhu

  12810-12818

  2022-06-28

• Gradient Descent Averaging and Primal-dual Averaging for Strongly Convex Optimization

  Wei Tao, Wei Li, Zhisong Pan, Qing Tao

  9843-9850

  2021-05-18

• Neural Network Approximation for Pessimistic Offline Reinforcement Learning

  Di Wu, Yuling Jiao, Li Shen, Haizhao Yang, Xiliang Lu

  15868-15877

  2024-03-24

• Towards Training-Free and Accurate ANN-to-SNN Conversion via Activation-Aware Redistribution

  Honglin Cao, Shuai Wang, Zijian Zhou, Ammar Belatreche, Wenjie Wei, Yu Liang, Yu Yang, Rui Xi, Malu Zhang, Haizhou Li

  1703-1711

  2026-03-14

• Semi-Supervised Node Classification on Graphs: Markov Random Fields vs. Graph Neural Networks

  Binghui Wang, Jinyuan Jia, Neil Zhenqiang Gong

  10093-10101

  2021-05-18

• Interpreting Neural Networks as Quantitative Argumentation Frameworks

  Nico Potyka

  6463-6470

  2021-05-18