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Samuele Papa
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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
522021
Inductive biases for object-centric representations in the presence of complex textures
S Papa, O Winther, A Dittadi
arXiv preprint arXiv:2204.08479, 2022
102022
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
22023
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
12023
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
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Articles 1–10