NIPS Proceedingsβ

Michael Tschannen

3 Papers

  • Deep Generative Models for Distribution-Preserving Lossy Compression (2018)
  • Greedy Algorithms for Cone Constrained Optimization with Convergence Guarantees (2017)
  • Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations (2017)