David W. Romero
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
9
Venues
3
Active years
2020–2025
Best venue rank
A*
Where they publish
Papers
9 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | HMAR: Efficient Hierarchical Masked Auto-Regressive Image Generation. | Hermann Kumbong, Xian Liu, Tsung-Yi Lin, Ming-Yu Liu, Xihui Liu, Ziwei Liu, Daniel Y. Fu, Christopher R, David W. Romero |
| 2024 | ICLR | Fast, Expressive SE(n) Equivariant Networks through Weight-Sharing in Position-Orientation Space. | Erik J. Bekkers, Sharvaree P. Vadgama, Rob Hesselink, Putri A. van der Linden, David W. Romero |
| 2023 | ICLR | Modelling Long Range Dependencies in $N$D: From Task-Specific to a General Purpose CNN. | David M. Knigge, David W. Romero, Albert Gu, Efstratios Gavves, Erik J. Bekkers, Jakub Mikolaj Tomczak, Mark Hoogendoorn, Jan-Jakob Sonke |
| 2022 | ICLR | FlexConv: Continuous Kernel Convolutions With Differentiable Kernel Sizes. | David W. Romero, Robert-Jan Bruintjes, Jakub Mikolaj Tomczak, Erik J. Bekkers, Mark Hoogendoorn, Jan van Gemert |
| 2022 | ICLR | CKConv: Continuous Kernel Convolution For Sequential Data. | David W. Romero, Anna Kuzina, Erik J. Bekkers, Jakub Mikolaj Tomczak, Mark Hoogendoorn |
| 2022 | ICML | Exploiting Redundancy: Separable Group Convolutional Networks on Lie Groups. | David M. Knigge, David W. Romero, Erik J. Bekkers |
| 2021 | ICLR | Group Equivariant Stand-Alone Self-Attention For Vision. | David W. Romero, Jean-Baptiste Cordonnier |
| 2020 | ICLR | Co-Attentive Equivariant Neural Networks: Focusing Equivariance On Transformations Co-Occurring in Data. | David W. Romero, Mark Hoogendoorn |
| 2020 | ICML | Attentive Group Equivariant Convolutional Networks. | David W. Romero, Erik J. Bekkers, Jakub M. Tomczak, Mark Hoogendoorn |