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1. Learning Dynamic Cognitive Map with Autonomous Navigation

2. Variational Bayes Gaussian Splatting

3. Representing Positional Information in Generative World Models for Object Manipulation

4. Exploring and Learning Structure: Active Inference Approach in Navigational Agents

5. From pixels to planning: scale-free active inference

6. Free Energy in a Circumplex Model of Emotion

7. Belief sharing: a blessing or a curse

8. GenRL: Multimodal-foundation world models for generalization in embodied agents

9. Spatial and Temporal Hierarchy for Autonomous Navigation using Active Inference in Minigrid Environment

10. Active Inference and Intentional Behaviour

11. Supervised structure learning

12. Learning Spatial and Temporal Hierarchies: Hierarchical Active Inference for navigation in Multi-Room Maze Environments

13. Learning to Navigate from Scratch using World Models and Curiosity: the Good, the Bad, and the Ugly

14. Bridging Cognitive Maps: a Hierarchical Active Inference Model of Spatial Alternation Tasks and the Hippocampal-Prefrontal Circuit

15. Integrating cognitive map learning and active inference for planning in ambiguous environments

16. FOCUS: Object-Centric World Models for Robotics Manipulation

17. Inferring Hierarchical Structure in Multi-Room Maze Environments

18. Active Inference in Hebbian Learning Networks

19. Active Inference in Hebbian Learning Networks

20. Integrating Cognitive Map Learning and Active Inference for Planning in Ambiguous Environments

22. Symmetry and Complexity in Object-Centric Deep Active Inference Models

23. Object-Centric Scene Representations using Active Inference

24. FMCW Radar Sensing for Indoor Drones Using Learned Representations

25. Choreographer: Learning and Adapting Skills in Imagination

26. Fusing Event-based Camera and Radar for SLAM Using Spiking Neural Networks with Continual STDP Learning

27. Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels

28. Disentangling Shape and Pose for Object-Centric Deep Active Inference Models

29. Learning to SLAM on the Fly in Unknown Environments: A Continual Learning Approach for Drones in Visually Ambiguous Scenes

30. Home Run: Finding Your Way Home by Imagining Trajectories

31. Learning Generative Models for Active Inference using Tensor Networks

32. The Free Energy Principle for Perception and Action: A Deep Learning Perspective

33. Supervised structure learning

34. Disentangling Shape and Pose for Object-Centric Deep Active Inference Models

35. Home Run: Finding Your Way Home by Imagining Trajectories

36. Learning Generative Models for Active Inference Using Tensor Networks

37. Contrastive Active Inference

38. Fail-Safe Human Detection for Drones Using a Multi-Modal Curriculum Learning Approach

40. Active Inference in Hebbian Learning Networks

41. Disentangling What and Where for 3D Object-Centric Representations Through Active Inference

42. A Low-Complexity Radar Detector Outperforming OS-CFAR for Indoor Drone Obstacle Avoidance

43. Towards bio-inspired unsupervised representation learning for indoor aerial navigation

44. LatentSLAM: unsupervised multi-sensor representation learning for localization and mapping

45. A learning gap between neuroscience and reinforcement learning

46. Curiosity-Driven Exploration via Latent Bayesian Surprise

47. Federated inference and belief sharing

48. Dynamic Narrowing of VAE Bottlenecks Using GECO and L0 Regularization

49. Deep Active Inference for Autonomous Robot Navigation

50. Rhythm, Chord and Melody Generation for Lead Sheets using Recurrent Neural Networks

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