Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Van de Maele, Toon"'
Recently, 3D Gaussian Splatting has emerged as a promising approach for modeling 3D scenes using mixtures of Gaussians. The predominant optimization method for these models relies on backpropagating gradients through a differentiable rendering pipeli
Externí odkaz:
http://arxiv.org/abs/2410.03592
Autor:
Catal, Ozan, Van de Maele, Toon, Pitliya, Riddhi J., Albarracin, Mahault, Pattisapu, Candice, Verbelen, Tim
When collaborating with multiple parties, communicating relevant information is of utmost importance to efficiently completing the tasks at hand. Under active inference, communication can be cast as sharing beliefs between free-energy minimizing agen
Externí odkaz:
http://arxiv.org/abs/2407.02465
Publikováno v:
Entropy 2024, 26, 83, Special Issue From Functional Imaging to Free Energy Dedicated to Professor Karl Friston on the Occasion of His 65th Birthday
Robust evidence suggests that humans explore their environment using a combination of topological landmarks and coarse-grained path integration. This approach relies on identifiable environmental features (topological landmarks) in tandem with estima
Externí odkaz:
http://arxiv.org/abs/2312.05058
Autor:
Pezzulo, Giovanni, D'Amato, Leo, Mannella, Francesco, Priorelli, Matteo, Van de Maele, Toon, Stoianov, Ivilin Peev, Friston, Karl
This paper considers neural representation through the lens of active inference, a normative framework for understanding brain function. It delves into how living organisms employ generative models to minimize the discrepancy between predictions and
Externí odkaz:
http://arxiv.org/abs/2310.14810
Cognitive maps play a crucial role in facilitating flexible behaviour by representing spatial and conceptual relationships within an environment. The ability to learn and infer the underlying structure of the environment is crucial for effective expl
Externí odkaz:
http://arxiv.org/abs/2309.09864
Cognitive problem-solving benefits from cognitive maps aiding navigation and planning. Previous studies revealed that cognitive maps for physical space navigation involve hippocampal (HC) allocentric codes, while cognitive maps for abstract task spac
Externí odkaz:
http://arxiv.org/abs/2308.11463
Living organisms need to acquire both cognitive maps for learning the structure of the world and planning mechanisms able to deal with the challenges of navigating ambiguous environments. Although significant progress has been made in each of these a
Externí odkaz:
http://arxiv.org/abs/2308.08307
Cognitive maps play a crucial role in facilitating flexible behaviour by representing spatial and conceptual relationships within an environment. The ability to learn and infer the underlying structure of the environment is crucial for effective expl
Externí odkaz:
http://arxiv.org/abs/2306.13546
Humans perceive and interact with hundreds of objects every day. In doing so, they need to employ mental models of these objects and often exploit symmetries in the object's shape and appearance in order to learn generalizable and transferable skills
Externí odkaz:
http://arxiv.org/abs/2304.14493
Representing a scene and its constituent objects from raw sensory data is a core ability for enabling robots to interact with their environment. In this paper, we propose a novel approach for scene understanding, leveraging a hierarchical object-cent
Externí odkaz:
http://arxiv.org/abs/2302.03288