Thomas Bonis

Applied Mathematics · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas Bonis trusts overall

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

  1. Alex Zhai
  2. Feng-Yu Wang
  3. Gershon Wolansky
  4. Iosif Pinelis
  5. Max Fathi
  6. Michel Ledoux

Papers from Thomas Bonis's perspective

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

  1. A bound for the error in the normal approximation to the distribution of a sum of dependent random variables
  2. A high-dimensional CLT in W2\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs}…
  3. Berry–Esseen bounds in the entropic central limit theorem
  4. On the dependence of the Berry–Esseen bound on dimension
  5. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. ImageNet classification with deep convolutional neural networks
  8. ImageNet: A large-scale hierarchical image database
  9. Unsupervised Representation Learning by Predicting Image Rotations
  10. Building high-level features using large scale unsupervised learning

Their papers