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David W. Romero
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Attentive Group Equivariant Convolutional Networks
DW Romero, EJ Bekkers, JM Tomczak, M Hoogendoorn
International Conference on Machine Learning (ICML), 2020, 2020
502020
CKConv: Continuous Kernel Convolution For Sequential Data
DW Romero, A Kuzina, EJ Bekkers, JM Tomczak, M Hoogendoorn
International Conference on Learning Representations (ICLR), 2022, 2021
382021
Group Equivariant Stand-Alone Self-Attention For Vision
DW Romero, JB Cordonnier
International Conference on Learning Representations (ICLR), 2021, 2020
302020
Flexconv: Continuous kernel convolutions with differentiable kernel sizes
DW Romero, RJ Bruintjes, JM Tomczak, EJ Bekkers, M Hoogendoorn, ...
International Conference on Learning Representations (ICLR), 2022, 2021
252021
Co-Attentive Equivariant Neural Networks: Focusing Equivariance On Transformations Co-Occurring In Data
DW Romero, M Hoogendoorn
International Conference on Learning Representations (ICLR), 2020, 2019
182019
Wavelet networks: Scale equivariant learning from raw waveforms
DW Romero, EJ Bekkers, JM Tomczak, M Hoogendoorn
arXiv preprint arXiv:2006.05259, 2020
112020
Exploiting Redundancy: Separable Group Convolutional Networks on Lie Groups
DM Knigge, DW Romero, EJ Bekkers
International Conference on Machine Learning (ICML), 2022, 2021
72021
Learning Equivariances and Partial Equivariances from Data
DW Romero, S Lohit
Advances in Neural Information Processing Systems 36 (NeurIPS 2022), 2021
5*2021
Relaxing Equivariance Constraints with Non-stationary Continuous Filters
TFA van der Ouderaa, DW Romero, M van der Wilk
Advances in Neural Information Processing Systems 36 (NeurIPS 2022), 2022
42022
Towards a general purpose CNN for long range dependencies in ND
DW Romero, DM Knigge, A Gu, EJ Bekkers, E Gavves, JM Tomczak, ...
Workshop on Continuous Time Methods for Machine Learning (ICML 2022), 2022
32022
Modelling Long Range Dependencies in ND: From Task-Specific to a General Purpose CNN
DM Knigge, DW Romero, A Gu, E Gavves, EJ Bekkers, JM Tomczak, ...
arXiv preprint arXiv:2301.10540, 2023
2023
Generative Fourier-Based Auto-encoders: Preliminary Results
A Zonta, A El Hassouni, DW Romero, JM Tomczak
Machine Learning, Optimization, and Data Science: 6th International …, 2020
2020
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Articles 1–12