Samuel Lanthaler

Statistical and Nonlinear Physics · 2016–2021

A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

Whom Samuel Lanthaler trusts overall

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

  1. Andrew R. Barron
  2. Luke G. Rogers
  3. Zong-Yi Li
  4. Tianping Chen
  5. Dmitry Yarotsky
  6. Maizar Raissi
  7. Andrew M. Stuart
  8. Kurt Hornik
  9. G. Em Karniadakis
  10. Siddhartha Mishra

Who trusts Samuel Lanthaler overall

  1. Nikola B. Kovachki
  2. Lu Lu
  3. Zong-Yi Li
  4. Kamyar Azzizadenesheli
  5. Xuhui Meng
  6. Pengzhan Jin
  7. Shengze Cai

Papers from Samuel Lanthaler's perspective

Ordered by how strongly the researchers Samuel Lanthaler 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  3. Multilayer feedforward networks are universal approximators
  4. ImageNet classification with deep convolutional neural networks
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Learning Multiple Layers of Features from Tiny Images
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators (Nature Machine Intelligence)

Their papers