暂无分享,去创建一个
[1] Subhransu Maji,et al. SPLATNet: Sparse Lattice Networks for Point Cloud Processing , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[2] Dit-Yan Yeung,et al. Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting , 2015, NIPS.
[3] Cyrus Shahabi,et al. Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting , 2017, ICLR.
[4] Tom Schaul,et al. StarCraft II: A New Challenge for Reinforcement Learning , 2017, ArXiv.
[5] Timo Ropinski,et al. Monte Carlo convolution for learning on non-uniformly sampled point clouds , 2018, ACM Trans. Graph..
[6] Fuxin Li,et al. PointConv: Deep Convolutional Networks on 3D Point Clouds , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[7] Xianfeng Tang,et al. Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction , 2018, AAAI.
[8] Laurens van der Maaten,et al. Submanifold Sparse Convolutional Networks , 2017, ArXiv.
[9] Hongyuan Zha,et al. Transformer Hawkes Process , 2020, ICML.
[10] Leonidas J. Guibas,et al. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[11] David Duvenaud,et al. Latent Ordinary Differential Equations for Irregularly-Sampled Time Series , 2019, NeurIPS.
[12] Emine Yilmaz,et al. Self-Attentive Hawkes Processes , 2019, ArXiv.
[13] Zhanxing Zhu,et al. Spatio-temporal Graph Convolutional Neural Network: A Deep Learning Framework for Traffic Forecasting , 2017, IJCAI.
[14] Alexander J. Smola,et al. Deep Sets , 2017, 1703.06114.
[15] Leonidas J. Guibas,et al. PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space , 2017, NIPS.
[16] Yifan Xu,et al. SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters , 2018, ECCV.
[17] Le Song,et al. Learning Temporal Point Processes via Reinforcement Learning , 2018, NeurIPS.
[18] Satya Narayan Shukla,et al. Interpolation-Prediction Networks for Irregularly Sampled Time Series , 2019, ICLR.
[19] Leonidas J. Guibas,et al. KPConv: Flexible and Deformable Convolution for Point Clouds , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[20] Nikos Komodakis,et al. Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[21] Razvan Pascanu,et al. Interaction Networks for Learning about Objects, Relations and Physics , 2016, NIPS.
[22] Silvio Savarese,et al. 4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[23] Utkarsh Upadhyay,et al. Recurrent Marked Temporal Point Processes: Embedding Event History to Vector , 2016, KDD.
[24] Yue Wang,et al. Dynamic Graph CNN for Learning on Point Clouds , 2018, ACM Trans. Graph..
[25] Christian Bock,et al. Set Functions for Time Series , 2019, ICML.