research
          
      
      ∙
      07/12/2022
    Continual Learning with Deep Learning Methods in an Application-Oriented Context
Abstract knowledge is deeply grounded in many computer-based application...
          
            research
          
      
      ∙
      04/19/2021
    Continual Learning with Fully Probabilistic Models
We present an approach for continual learning (CL) that is based on full...
          
            research
          
      
      ∙
      04/19/2021
    Overcoming Catastrophic Forgetting with Gaussian Mixture Replay
We present Gaussian Mixture Replay (GMR), a rehearsal-based approach for...
          
            research
          
      
      ∙
      09/24/2020
    A Rigorous Link Between Self-Organizing Maps and Gaussian Mixture Models
This work presents a mathematical treatment of the relation between Self...
          
            research
          
      
      ∙
      12/18/2019
    Gradient-based training of Gaussian Mixture Models in High-Dimensional Spaces
We present an approach for efficiently training Gaussian Mixture Models ...
          
            research
          
      
      ∙
      09/10/2019
     
             
  
  
     
                             share
 share