Punith Kumar

Mechanical Engineering · 2018–2021

A researcher in the Science corpus: 6 papers; trusts 15 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Punith Kumar trusts overall

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

  1. J. Suryawanshi
  2. U. Ramamurty
  3. Kondagokuldoss Prashanth
  4. L. Thijs
  5. E. Wycisk
  6. P. Edwards
  7. J. Lewandowski
  8. B. Vrancken
  9. Jean-Pierre Kruth
  10. Andrew Y. Ng

Who trusts Punith Kumar overall

  1. U. Ramamurty
  2. Thorsten Becker
  3. Sheng Huang
  4. Gaurav Singh

Papers from Punith Kumar's perspective

Ordered by how strongly the researchers Punith Kumar 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. Self-Normalizing Neural Networks
  3. Predicting the output from a complex computer code when fast approximations are available
  4. Feature selection, L1 vs. L2 regularization, and rotational invariance
  5. Engineering Design via Surrogate Modelling - A Practical Guide
  6. A guide to deep learning in healthcare
  7. The Hardness of Metals
  8. Graded Materials for Resistance to Contact Deformation and Damage (Science)
  9. Computational modeling of the forward and reverse problems in instrumented sharp indentation
  10. General relationship between strength and hardness

Their papers