 Deep Scale-spaces: Equivariance Over ScaleNeural Information Processing Systems (NeurIPS), 2019 |
 Learning to Convolve: A Generalized Weight-Tying ApproachInternational Conference on Machine Learning (ICML), 2019 |
 Harmonic Networks with Limited Training SamplesEuropean Signal Processing Conference (EUSIPCO), 2019 |
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 Transformation Consistent Self-ensembling Model for Semi-supervised
Medical Image SegmentationIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019 |
 Gauge Equivariant Convolutional Networks and the Icosahedral CNNInternational Conference on Machine Learning (ICML), 2019 |
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 A rotation-equivariant convolutional neural network model of primary
visual cortexInternational Conference on Learning Representations (ICLR), 2018 |
 3D Steerable CNNs: Learning Rotationally Equivariant Features in
Volumetric DataNeural Information Processing Systems (NeurIPS), 2018 |
