Generalization and robustness implications in object-centric learning A Dittadi, S Papa, M De Vita, B Schölkopf, O Winther, F Locatello arXiv preprint arXiv:2107.00637, 2021 | 52 | 2021 |
Inductive biases for object-centric representations in the presence of complex textures S Papa, O Winther, A Dittadi arXiv preprint arXiv:2204.08479, 2022 | 10 | 2022 |
Neural modulation fields for conditional cone beam neural tomography S Papa, DM Knigge, R Valperga, N Moriakov, M Kofinas, JJ Sonke, ... arXiv preprint arXiv:2307.08351, 2023 | 2 | 2023 |
Noise2Aliasing: Unsupervised Deep Learning for View Aliasing and Noise Reduction in 4DCBCT S Papa, E Gavves, JJ Sonke International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 1 | 2023 |
Equivariant Neural Fields For Symmetry Preserving Continous PDE Forecasting DM Knigge, D Wessels, R Valperga, S Papa, S Gavves, EJ Bekkers ICLR 2024 Workshop on AI4DifferentialEquations In Science, 2024 | | 2024 |
Nodule detection and generation on chest X-rays: NODE21 Challenge E Sogancioglu, B van Ginneken, F Behrendt, M Bengs, A Schlaefer, ... arXiv preprint arXiv:2401.02192, 2024 | | 2024 |
How to Train Neural Field Representations: A Comprehensive Study and Benchmark S Papa, R Valperga, D Knigge, M Kofinas, P Lippe, JJ Sonke, E Gavves arXiv preprint arXiv:2312.10531, 2023 | | 2023 |
RecFusion: A Binomial Diffusion Process for 1D Data for Recommendation G Bénédict, O Jeunen, S Papa, S Bhargav, D Odijk, M de Rijke arXiv preprint arXiv:2306.08947, 2023 | | 2023 |
Contrastive Implicit Representation Learning R Valperga, S Papa, DW Romero, M Kofinas, J Sonke, E Gavves | | |
Node21-Generative Inpainting E Marcus, S Papa, JJ Sonke, J Teuwen | | |