research
          
      
      ∙
      01/28/2023
    ClusterFuG: Clustering Fully connected Graphs by Multicut
We propose a graph clustering formulation based on multicut (a.k.a. weig...
          
            research
          
      
      ∙
      05/23/2022
    DOGE-Train: Discrete Optimization on GPU with End-to-end Training
We present a fast, scalable, data-driven approach for solving linear rel...
          
            research
          
      
      ∙
      02/04/2022
    Structured Prediction Problem Archive
Structured prediction problems are one of the fundamental tools in machi...
          
            research
          
      
      ∙
      11/19/2021
    FastDOG: Fast Discrete Optimization on GPU
We present a massively parallel Lagrange decomposition method for solvin...
          
            research
          
      
      ∙
      09/04/2021
    RAMA: A Rapid Multicut Algorithm on GPU
We propose a highly parallel primal-dual algorithm for the multicut (a.k...
          
            research
          
      
      ∙
      06/06/2021
    Combinatorial Optimization for Panoptic Segmentation: An End-to-End Trainable Approach
We propose an end-to-end trainable architecture for simultaneous semanti...
          
            research
          
      
      ∙
      04/17/2019
     
             
                     
  
  
     
                             share
 share