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Michael Kampffmeyer

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Papers (16)

  1. Learning Latent Representations of Bank Customers With The Variational Autoencoder stat.ML · 2019 · author #2
  2. Deep Divergence-Based Approach to Clustering stat.ML · 2019 · author #1
  3. Recurrent Deep Divergence-based Clustering for simultaneous feature learning and clustering of variable length time series stat.ML · 2018 · author #3
  4. Reinforced Auto-Zoom Net: Towards Accurate and Fast Breast Cancer Segmentation in Whole-slide Images cs.CV · 2018 · author #2
  5. The Deep Kernelized Autoencoder stat.ML · 2018 · author #1
  6. Query-Conditioned Three-Player Adversarial Network for Video Summarization cs.CV · 2018 · author #2
  7. Geometric Generalization Based Zero-Shot Learning Dataset Infinite World: Simple Yet Powerful cs.LG · 2018 · author #2
  8. Unsupervised Domain Adaptation for Automatic Estimation of Cardiothoracic Ratio cs.CV · 2018 · author #2
  9. Segment-Based Credit Scoring Using Latent Clusters in the Variational Autoencoder cs.CE · 2018 · author #2
  10. Rethinking Knowledge Graph Propagation for Zero-Shot Learning cs.CV · 2018 · author #1
  11. Learning representations for multivariate time series with missing data using Temporal Kernelized Autoencoders cs.NE · 2018 · author #4
  12. ConnNet: A Long-Range Relation-Aware Pixel-Connectivity Network for Salient Segmentation cs.CV · 2018 · author #1
  13. Classification of postoperative surgical site infections from blood measurements with missing data using recurrent neural networks cs.NE · 2017 · author #4
  14. Urban Land Cover Classification with Missing Data Modalities Using Deep Convolutional Neural Networks cs.CV · 2017 · author #1
  15. Deep Kernelized Autoencoders stat.ML · 2017 · author #1
  16. Temporal Overdrive Recurrent Neural Network cs.NE · 2017 · author #2

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