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David W. Romero

Self-Supervised Detection of Perfect and Partial Input-Dependent Symmetries

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Dec 22, 2023
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Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions

Oct 28, 2023
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Learned Gridification for Efficient Point Cloud Processing

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Jul 22, 2023
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DNArch: Learning Convolutional Neural Architectures by Backpropagation

Feb 10, 2023
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Modelling Long Range Dependencies in N-D: From Task-Specific to a General Purpose CNN

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Jan 25, 2023
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Towards a General Purpose CNN for Long Range Dependencies in $\mathrm{N}$D

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Jun 07, 2022
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Relaxing Equivariance Constraints with Non-stationary Continuous Filters

Apr 14, 2022
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Exploiting Redundancy: Separable Group Convolutional Networks on Lie Groups

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Oct 25, 2021
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Learning Equivariances and Partial Equivariances from Data

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Oct 19, 2021
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FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes

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Oct 18, 2021
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