Samuele Papa

According to our database, Samuele Papa authored at least 14 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Grounding Continuous Representations in Geometry: Equivariant Neural Fields.

David R. Wessels, David M. Knigge, Riccardo Valperga, Samuele Papa, Sharvaree P. Vadgama, Efstratios Gavves, Erik J. Bekkers

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Exploring the Effectiveness of Object-Centric Representations in Visual Question Answering: Comparative Insights with Foundation Models.

Amir Mohammad Karimi-Mamaghan, Samuele Papa, Karl Henrik Johansson, Stefan Bauer, Andrea Dittadi

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Dream to Manipulate: Compositional World Models Empowering Robot Imitation Learning with Imagination.

Leonardo Barcellona, Andrii Zadaianchuk, Davide Allegro, Samuele Papa, Stefano Ghidoni, Efstratios Gavves

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Nodule Detection and Generation on Chest X-Rays: NODE21 Challenge.

Ecem Sogancioglu, Bram van Ginneken, Finn Behrendt, Marcel Bengs, Alexander Schlaefer, Miron Radu, Di Xu, Ke Sheng, Fabien Scalzo, Eric Marcus, Samuele Papa, Jonas Teuwen, Ernst Th. Scholten, Steven Schalekamp, Nils Hendrix, Colin Jacobs, Ward Hendrix, Clara I. Sánchez, Keelin Murphy

IEEE Trans. Medical Imaging, August, 2024

From MLP to NeoMLP: Leveraging Self-Attention for Neural Fields.

Miltiadis Kofinas, Samuele Papa, Efstratios Gavves

CoRR, 2024

NeuralDEM - Real-time Simulation of Industrial Particulate Flows.

Benedikt Alkin, Tobias Kronlachner, Samuele Papa, Stefan Pirker, Thomas Lichtenegger, Johannes Brandstetter

CoRR, 2024

NARAIM: Native Aspect Ratio Autoregressive Image Models.

Daniel Gallo Fernández, Robert van der Klis, Razvan-Andrei Matisan, Janusz Partyka, Efstratios Gavves, Samuele Papa, Phillip Lippe

CoRR, 2024

Space-Time Continuous PDE Forecasting using Equivariant Neural Fields.

David M. Knigge, David R. Wessels, Riccardo Valperga, Samuele Papa, Jan-Jakob Sonke, Erik J. Bekkers, Efstratios Gavves

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

How to Train Neural Field Representations: A Comprehensive Study and Benchmark.

Samuele Papa, Riccardo Valperga, David M. Knigge, Miltiadis Kofinas, Phillip Lippe, Jan-Jakob Sonke, Efstratios Gavves

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Neural Modulation Fields for Conditional Cone Beam Neural Tomography.

Samuele Papa, David M. Knigge, Riccardo Valperga, Nikita Moriakov, Miltos Kofinas, Jan-Jakob Sonke, Efstratios Gavves

CoRR, 2023

RecFusion: A Binomial Diffusion Process for 1D Data for Recommendation.

Gabriel Bénédict, Olivier Jeunen, Samuele Papa, Samarth Bhargav, Daan Odijk, Maarten de Rijke

CoRR, 2023

Noise2Aliasing: Unsupervised Deep Learning for View Aliasing and Noise Reduction in 4DCBCT.

Samuele Papa, Efstratios Gavves, Jan-Jakob Sonke

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

Inductive Biases for Object-Centric Representations in the Presence of Complex Textures.

Samuele Papa, Ole Winther, Andrea Dittadi

CoRR, 2022

Generalization and Robustness Implications in Object-Centric Learning.

Andrea Dittadi, Samuele S. Papa, Michele De Vita, Bernhard Schölkopf, Ole Winther, Francesco Locatello

Proceedings of the International Conference on Machine Learning, 2022