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09/18/2023
Learning Spatial and Temporal Hierarchies: Hierarchical Active Inference for navigation in Multi-Room Maze Environments
Cognitive maps play a crucial role in facilitating flexible behaviour by...
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08/30/2023
Learning to Navigate from Scratch using World Models and Curiosity: the Good, the Bad, and the Ugly
Learning to navigate unknown environments from scratch is a challenging ...
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08/16/2023
Integrating cognitive map learning and active inference for planning in ambiguous environments
Living organisms need to acquire both cognitive maps for learning the st...
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07/05/2023
FOCUS: Object-Centric World Models for Robotics Manipulation
Understanding the world in terms of objects and the possible interplays ...
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06/23/2023
Inferring Hierarchical Structure in Multi-Room Maze Environments
Cognitive maps play a crucial role in facilitating flexible behaviour by...
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04/14/2023
Symmetry and Complexity in Object-Centric Deep Active Inference Models
Humans perceive and interact with hundreds of objects every day. In doin...
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02/07/2023
Object-Centric Scene Representations using Active Inference
Representing a scene and its constituent objects from raw sensory data i...
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01/06/2023
FMCW Radar Sensing for Indoor Drones Using Learned Representations
Frequency-modulated continuous-wave (FMCW) radar is a promising sensor t...
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11/23/2022
Choreographer: Learning and Adapting Skills in Imagination
Unsupervised skill learning aims to learn a rich repertoire of behaviors...
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09/24/2022
Unsupervised Model-based Pre-training for Data-efficient Control from Pixels
Controlling artificial agents from visual sensory data is an arduous tas...
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09/16/2022
Disentangling Shape and Pose for Object-Centric Deep Active Inference Models
Active inference is a first principles approach for understanding the br...
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08/19/2022
Home Run: Finding Your Way Home by Imagining Trajectories
When studying unconstrained behaviour and allowing mice to leave their c...
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08/18/2022
Learning Generative Models for Active Inference using Tensor Networks
Active inference provides a general framework for behavior and learning ...
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07/14/2022
Audio-guided Album Cover Art Generation with Genetic Algorithms
Over 60,000 songs are released on Spotify every day, and the competition...
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07/13/2022
The Free Energy Principle for Perception and Action: A Deep Learning Perspective
The free energy principle, and its corollary active inference, constitut...
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10/19/2021
Contrastive Active Inference
Active inference is a unifying theory for perception and action resting ...
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08/26/2021
Disentangling What and Where for 3D Object-Centric Representations Through Active Inference
Although modern object detection and classification models achieve high ...
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06/17/2021
Towards bio-inspired unsupervised representation learning for indoor aerial navigation
Aerial navigation in GPS-denied, indoor environments, is still an open c...
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05/07/2021
LatentSLAM: unsupervised multi-sensor representation learning for localization and mapping
Biologically inspired algorithms for simultaneous localization and mappi...
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04/22/2021
A learning gap between neuroscience and reinforcement learning
Historically, artificial intelligence has drawn much inspiration from ne...
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04/15/2021
Self-Supervised Exploration via Latent Bayesian Surprise
Training with Reinforcement Learning requires a reward function that is ...
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03/24/2020
Dynamic Narrowing of VAE Bottlenecks Using GECO and L_0 Regularization
When designing variational autoencoders (VAEs) or other types of latent ...
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03/06/2020
Deep Active Inference for Autonomous Robot Navigation
Active inference is a theory that underpins the way biological agent's p...
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02/21/2020
Rhythm, Chord and Melody Generation for Lead Sheets using Recurrent Neural Networks
Music that is generated by recurrent neural networks often lacks a sense...
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01/30/2020
Learning Perception and Planning with Deep Active Inference
Active inference is a process theory of the brain that states that all l...
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01/28/2020
Learning to Catch Piglets in Flight
Catching objects in-flight is an outstanding challenge in robotics. In t...
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04/17/2019
Bayesian policy selection using active inference
Learning to take actions based on observations is a core requirement for...
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11/12/2018
Improving Generalization for Abstract Reasoning Tasks Using Disentangled Feature Representations
In this work we explore the generalization characteristics of unsupervis...
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09/11/2018
Visualizing Convolutional Neural Networks to Improve Decision Support for Skin Lesion Classification
Because of their state-of-the-art performance in computer vision, CNNs a...
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06/09/2018
Learning to Grasp from a Single Demonstration
Learning-based approaches for robotic grasping using visual sensors typi...
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05/30/2018
Privacy Aware Offloading of Deep Neural Networks
Deep neural networks require large amounts of resources which makes them...
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04/26/2018
IamNN: Iterative and Adaptive Mobile Neural Network for Efficient Image Classification
Deep residual networks (ResNets) made a recent breakthrough in deep lear...
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01/02/2018
Character-level Recurrent Neural Networks in Practice: Comparing Training and Sampling Schemes
Recurrent neural networks are nowadays successfully used in an abundance...
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11/29/2017
Transfer Learning with Binary Neural Networks
Previous work has shown that it is possible to train deep neural network...
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08/22/2017
Large-Scale User Modeling with Recurrent Neural Networks for Music Discovery on Multiple Time Scales
The amount of content on online music streaming platforms is immense, an...
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08/09/2017
Decoupled Learning of Environment Characteristics for Safe Exploration
Reinforcement learning is a proven technique for an agent to learn a tas...
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03/13/2017
Sensor Fusion for Robot Control through Deep Reinforcement Learning
Deep reinforcement learning is becoming increasingly popular for robot c...
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07/02/2016
Representation learning for very short texts using weighted word embedding aggregation
Short text messages such as tweets are very noisy and sparse in their us...
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05/27/2016
Lazy Evaluation of Convolutional Filters
In this paper we propose a technique which avoids the evaluation of cert...
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05/09/2016
Efficiency Evaluation of Character-level RNN Training Schedules
We present four training and prediction schedules from the same characte...
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12/02/2015