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Poster
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Mon 9:00 |
Trajectory Prediction using Equivariant Continuous Convolution Robin Walters · Jinxi Li · Rose Yu |
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Poster
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Mon 1:00 |
PSTNet: Point Spatio-Temporal Convolution on Point Cloud Sequences Hehe Fan · Xin Yu · Yuhang Ding · Yi Yang · Mohan Kankanhalli |
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Poster
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Tue 1:00 |
Lossless Compression of Structured Convolutional Models via Lifting Gustav Sourek · Filip Zelezny · Ondrej Kuzelka |
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Spotlight
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Tue 3:45 |
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs Pim De Haan · Maurice Weiler · Taco Cohen · Max Welling |
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Poster
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Tue 1:00 |
Computational Separation Between Convolutional and Fully-Connected Networks Eran Malach · Shai Shalev-Shwartz |
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Poster
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Wed 9:00 |
Probabilistic Numeric Convolutional Neural Networks Marc Finzi · Roberto Bondesan · Max Welling |
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Poster
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Mon 9:00 |
Intrinsic-Extrinsic Convolution and Pooling for Learning on 3D Protein Structures Pedro Hermosilla Casajus · Marco Schäfer · Matej Lang · Gloria Fackelmann · Pere-Pau Vázquez · Barbora Kozlikova · Michael Krone · Tobias Ritschel · Timo Ropinski |
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Poster
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Wed 1:00 |
Simple Spectral Graph Convolution Hao Zhu · Piotr Koniusz |
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Spotlight
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Mon 21:36 |
Graph Convolution with Low-rank Learnable Local Filters Xiuyuan Cheng · Zichen Miao · Qiang Qiu |
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Poster
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Mon 9:00 |
Vector-output ReLU Neural Network Problems are Copositive Programs: Convex Analysis of Two Layer Networks and Polynomial-time Algorithms Arda Sahiner · Tolga Ergen · John M Pauly · Mert Pilanci |
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Poster
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Wed 9:00 |
Orthogonalizing Convolutional Layers with the Cayley Transform Asher Trockman · Zico Kolter |
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Oral
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Thu 11:45 |
Why Are Convolutional Nets More Sample-Efficient than Fully-Connected Nets? Zhiyuan Li · Yi Zhang · Sanjeev Arora |