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David W. Romero
David W. Romero
Research Scientist, NVIDIA
E-mail confirmado em nvidia.com - Página inicial
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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
1492021
Attentive Group Equivariant Convolutional Networks
DW Romero, EJ Bekkers, JM Tomczak, M Hoogendoorn
International Conference on Machine Learning (ICML), 2020, 2020
1022020
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
1012021
Group Equivariant Stand-Alone Self-Attention For Vision
DW Romero, JB Cordonnier
International Conference on Learning Representations (ICLR), 2021, 2020
622020
Learning Equivariances and Partial Equivariances from Data
DW Romero, S Lohit
Advances in Neural Information Processing Systems 35 (NeurIPS 2022), 2021
47*2021
Exploiting Redundancy: Separable Group Convolutional Networks on Lie Groups
DM Knigge, DW Romero, EJ Bekkers
International Conference on Machine Learning (ICML), 2022, 2021
392021
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
322022
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
252019
Cvqa: Culturally-diverse multilingual visual question answering benchmark
D Romero, C Lyu, HA Wibowo, T Lynn, I Hamed, AN Kishore, A Mandal, ...
arXiv preprint arXiv:2406.05967, 2024
242024
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, 17072-17116, 2023
242023
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
242023
Large-scale ICU data sharing for global collaboration: the first 1633 critically ill COVID-19 patients in the Dutch Data Warehouse
LM Fleuren, DP de Bruin, M Tonutti, RCA Lalisang, PWG Elbers
Intensive care medicine 47 (4), 478-481, 2021
212021
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
21*2020
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
20*2023
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
192022
DNArch: Learning Convolutional Neural Architectures by Backpropagation
DW Romero, N Zeghidour
Workshop on Differentiable Almost Everything (ICML), 2023
52023
Meshtron: High-Fidelity, Artist-Like 3D Mesh Generation at Scale
Z Hao, DW Romero, TY Lin, MY Liu
arXiv preprint arXiv:2412.09548, 2024
32024
Question-instructed visual descriptions for zero-shot video question answering
D Romero, T Solorio
arXiv preprint arXiv:2402.10698, 2024
32024
Self-Supervised Detection of Perfect and Partial Input-Dependent Symmetries
A Urbano, DW Romero
Workshop on Geometry-grounded Representation Learning and Generative …, 2023
22023
Learned Gridification for Efficient Point Cloud Processing
PA Van der Linden, DW Romero, EJ Bekkers
Proceedings of the 2nd Annual Workshop on Topology, Algebra, and Geometry in …, 2023
12023
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