research
∙
06/07/2023
Changing Data Sources in the Age of Machine Learning for Official Statistics
Data science has become increasingly essential for the production of off...
share
research
∙
11/15/2022
Neural Bayesian Network Understudy
Bayesian Networks may be appealing for clinical decision-making due to t...
research
∙
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...
research
∙
04/22/2021
A learning gap between neuroscience and reinforcement learning
Historically, artificial intelligence has drawn much inspiration from ne...
research
∙
03/24/2020
Dynamic Narrowing of VAE Bottlenecks Using GECO and L_0 Regularization
When designing variational autoencoders (VAEs) or other types of latent ...
research
∙
03/06/2020
Deep Active Inference for Autonomous Robot Navigation
Active inference is a theory that underpins the way biological agent's p...
research
∙
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...
research
∙
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...
research
∙
06/09/2018
Learning to Grasp from a Single Demonstration
Learning-based approaches for robotic grasping using visual sensors typi...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
05/27/2016
Lazy Evaluation of Convolutional Filters
In this paper we propose a technique which avoids the evaluation of cert...
research
∙
05/09/2016
Efficiency Evaluation of Character-level RNN Training Schedules
We present four training and prediction schedules from the same characte...
research
∙
12/02/2015