Mathew Herrnegger

Water Resources Research · 2019

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Mathew Herrnegger trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Mohammed Alquraishi

Papers from Mathew Herrnegger's perspective

Ordered by how strongly the researchers Mathew Herrnegger trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Long Short-Term Memory
  3. End-to-end differentiable learning of protein structure
  4. Learning to predict the cosmological structure formation
  5. DeepTox: Toxicity Prediction using Deep Learning
  6. Shuffled complex evolution approach for effective and efficient global minimization
  7. Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data
  8. Flow Prediction in Ungauged Catchments Using Probabilistic Random Forests Regionalization and New Statistical Adequacy Tests (Water Resources Research)
  9. Application of stochastic parameter optimization to the Sacramento Soil Moisture Accounting model (Journal of Hydrology)
  10. Application of Deep Convolutional Neural Networks for Detecting Extreme Weather in Climate Datasets

Their papers