Generalization and Robustness Implications in Object-Centric Learning. - Andrea Dittadi; Samuele S. Papa; Michele De Vita; Bernhard Schölkopf; Ole Winther; Francesco Locatello (ICML, 2022)

Inductive Biases for Object-Centric Representations in the Presence of Complex Textures. - Samuele Papa; Ole Winther; Andrea Dittadi (CoRR, 2022)

Noise2Aliasing: Unsupervised Deep Learning for View Aliasing and Noise Reduction in 4DCBCT. - Samuele Papa; Efstratios Gavves; Jan-Jakob Sonke (MICCAI (10), 2023)

RecFusion: A Binomial Diffusion Process for 1D Data for Recommendation. - Gabriel Bénédict; Olivier Jeunen; Samuele Papa; Samarth Bhargav 001; Daan Odijk; Maarten de Rijke (CoRR, 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)

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 (CVPR, 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 (NeurIPS, 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)

NeuralDEM - Real-time Simulation of Industrial Particulate Flows. - Benedikt Alkin; Tobias Kronlachner; Samuele Papa; Stefan Pirker; Thomas Lichtenegger; Johannes Brandstetter (CoRR, 2024)

From MLP to NeoMLP: Leveraging Self-Attention for Neural Fields. - Miltiadis Kofinas; Samuele Papa; Efstratios Gavves (CoRR, 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; et al. (IEEE Trans. Medical Imaging, 2024)

Dream to Manipulate: Compositional World Models Empowering Robot Imitation Learning with Imagination. - Leonardo Barcellona; Andrii Zadaianchuk; Davide Allegro; Samuele Papa; Stefano Ghidoni; Efstratios Gavves (ICLR, 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 (ICLR, 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 (ICLR, 2025)