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Workshop
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Combinational-convolution for flow-based sampling algorithm Akio Tomiya |
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Poster
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Tue 9:00 |
Learning low-dimensional generalizable natural features from retina using a U-net Siwei Wang · Benjamin Hoshal · Elizabeth de Laittre · Olivier Marre · Michael Berry · Stephanie Palmer |
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Poster
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SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction Minhao LIU · Ailing Zeng · Muxi Chen · Zhijian Xu · Qiuxia LAI · Lingna Ma · Qiang Xu |
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Poster
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Tue 14:00 |
On Measuring Excess Capacity in Neural Networks Florian Graf · Sebastian Zeng · Bastian Rieck · Marc Niethammer · Roland Kwitt |
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Poster
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Thu 9:00 |
Benign Overfitting in Two-layer Convolutional Neural Networks Yuan Cao · Zixiang Chen · Misha Belkin · Quanquan Gu |
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Poster
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Tue 14:00 |
Graph Convolution Network based Recommender Systems: Learning Guarantee and Item Mixture Powered Strategy Leyan Deng · Defu Lian · Chenwang Wu · Enhong Chen |
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Poster
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Wed 9:00 |
CryptoGCN: Fast and Scalable Homomorphically Encrypted Graph Convolutional Network Inference Ran Ran · Wei Wang · Quan Gang · Jieming Yin · Nuo Xu · Wujie Wen |
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Poster
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Thu 9:00 |
Time-Conditioned Dances with Simplicial Complexes: Zigzag Filtration Curve based Supra-Hodge Convolution Networks for Time-series Forecasting Yuzhou Chen · Yulia Gel · H. Vincent Poor |
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Poster
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Tue 9:00 |
Wavelet Feature Maps Compression for Image-to-Image CNNs Shahaf E. Finder · Yair Zohav · Maor Ashkenazi · Eran Treister |
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Poster
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Log-Polar Space Convolution Layers Bing Su · Ji-Rong Wen |
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Poster
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Tue 9:00 |
Relaxing Equivariance Constraints with Non-stationary Continuous Filters Tycho van der Ouderaa · David W. Romero · Mark van der Wilk |
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Poster
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Tue 9:00 |
A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking Keyu Duan · Zirui Liu · Peihao Wang · Wenqing Zheng · Kaixiong Zhou · Tianlong Chen · Xia Hu · Zhangyang Wang |