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Lance Kaplan

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Papers (7)

  1. Prior Activation Distribution (PAD): A Versatile Representation to Utilize DNN Hidden Units cs.CV · 2019 · author #3
  2. Probabilistic Logic Programming with Beta-Distributed Random Variables cs.AI · 2018 · author #2
  3. Uncertainty Aware AI ML: Why and How cs.AI · 2018 · author #1
  4. Evidential Deep Learning to Quantify Classification Uncertainty cs.LG · 2018 · author #2
  5. AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks cs.SI · 2018 · author #4
  6. A Fundamental Limitation on Maximum Parameter Dimension for Accurate Estimation with Quantized Data math.ST · 2016 · author #3
  7. Functional Forms of Optimum Spoofing Attacks for Vector Parameter Estimation in Quantized Sensor Networks cs.IT · 2016 · author #3

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