Philipp Marquetand

Atomic and Molecular Physics, and Optics · 2006–2023

A researcher in the Science corpus: 8 papers; trusts 17 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Philipp Marquetand trusts overall

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

  1. J. Behler
  2. Frank Neese
  3. Kristof T. Schütt
  4. Matthias Rupp 
  5. Radford M. Neal
  6. A. P. Bart'ok
  7. Nongnuch Artrith
  8. Stefan Grimme

Who trusts Philipp Marquetand overall

  1. Michael Gastegger
  2. Kristof T. Schütt
  3. K. Müller

Papers from Philipp Marquetand's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Long Short-Term Memory
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet: A large-scale hierarchical image database
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers