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Samuele Papa

5 accepted papers

2025

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

ICLR 2025poster

A world model provides an agent with a representation of its environment, enabling it to predict the causal consequences of its actions. Current world models typically cannot directly and explicitly imitate the actual environment in front of a robot, often resulting in unrealistic behaviors and hall…

2025

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

ICLR 2025poster

Object-centric (OC) representations, which model visual scenes as compositions of discrete objects, have the potential to be used in various downstream tasks to achieve systematic compositional generalization and facilitate reasoning. However, these claims have yet to be thoroughly validated empiric…

Cited by 8SourcePDFScholar
2025

Grounding Continuous Representations in Geometry: Equivariant Neural Fields

ICLR 2025poster

Conditional Neural Fields (CNFs) are increasingly being leveraged as continuous signal representations, by associating each data-sample with a latent variable that conditions a shared backbone Neural Field (NeF) to reconstruct the sample. However, existing CNF architectures face limitations when usi…

2024

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

CVPR 2024poster

Neural fields (NeFs) have recently emerged as a versatile method for modeling signals of various modalities including images shapes and scenes. Subsequently a number of works have explored the use of NeFs as representations for downstream tasks e.g. classifying an image based on the parameters of a…

2024

Space-Time Continuous PDE Forecasting using Equivariant Neural Fields

NeurIPS 2024poster

Recently, Conditional Neural Fields (NeFs) have emerged as a powerful modelling paradigm for PDEs, by learning solutions as flows in the latent space of the Conditional NeF. Although benefiting from favourable properties of NeFs such as grid-agnosticity and space-time-continuous dynamics modelling,…

Cited by 7SourcePDFScholar