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David W. Romero
David W. Romero
Verified email at vu.nl - Homepage
Title
Cited by
Cited by
Year
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
1052021
Attentive Group Equivariant Convolutional Networks
DW Romero, EJ Bekkers, JM Tomczak, M Hoogendoorn
International Conference on Machine Learning (ICML), 2020, 2020
822020
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
762021
Group Equivariant Stand-Alone Self-Attention For Vision
DW Romero, JB Cordonnier
International Conference on Learning Representations (ICLR), 2021, 2020
492020
Learning Equivariances and Partial Equivariances from Data
DW Romero, S Lohit
Advances in Neural Information Processing Systems 35 (NeurIPS 2022), 2021
30*2021
Exploiting Redundancy: Separable Group Convolutional Networks on Lie Groups
DM Knigge, DW Romero, EJ Bekkers
International Conference on Machine Learning (ICML), 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
242019
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
192022
Wavelet networks: Scale-Translation Equivariant Learning From Raw Time-Series
DW Romero, EJ Bekkers, JM Tomczak, M Hoogendoorn
Transactions of Machine Learning Research, 2023, 2020
16*2020
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, ...
International Conference on Learning Representations (ICLR), 2023, 2023
132023
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
122022
Laughing hyena distillery: Extracting compact recurrences from convolutions
S Massaroli, M Poli, D Fu, H Kumbong, R Parnichkun, D Romero, ...
Advances in Neural Information Processing Systems 36, 2024
42024
Fast, Expressive Equivariant Networks through Weight-Sharing in Position-Orientation Space
EJ Bekkers, S Vadgama, R Hesselink, PA Van der Linden, DW Romero
The Twelfth International Conference on Learning Representations, ICLR 2024, 2023
3*2023
DNArch: Learning Convolutional Neural Architectures by Backpropagation
DW Romero, N Zeghidour
Workshop on Differentiable Almost Everything (ICML), 2023
22023
Self-Supervised Detection of Perfect and Partial Input-Dependent Symmetries
A Urbano, DW Romero
arXiv preprint arXiv:2312.12223, 2023
2023
Learned Gridification for Efficient Point Cloud Processing
PA Van der Linden, DW Romero, EJ Bekkers
arXiv preprint arXiv:2307.14354, 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
Contrastive Implicit Representation Learning
R Valperga, S Papa, DW Romero, M Kofinas, J Sonke, E Gavves
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Articles 1–18