Agathe Girard

Probabilistic & Bayesian Methods · 2002–2005

A researcher in the Science corpus: 5 papers; trusts 5 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Agathe Girard trusts overall

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

  1. Radford M. Neal
  2. Christopher K. I. Williams
  3. Joaquin Quiñonero Candela
  4. Michael E. Tipping
  5. Volker Tresp
  6. Matthias W. Seeger
  7. Carl E. Rasmussen
  8. Michael A. Arbib
  9. Roderick Murray-Smith
  10. Jan M. Maciejowski

Who trusts Agathe Girard overall

  1. Marc Peter Deisenroth
  2. Carl E. Rasmussen
  3. Jus Kocijan
  4. Duy Nguyen-Tuong
  5. Jan Peters
  6. Jonathan Ko
  7. Kurtland Chua
  8. Sanket Kamthe
  9. Thang D. Bui
  10. Andreas C. Damianou

Papers from Agathe Girard's perspective

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

  1. Using the Nyström Method to Speed Up Kernel Machines
  2. Bayesian learning for neural networks
  3. In Advances in Neural Information Processing Systems
  4. Prediction with Gaussian Processes: From Linear Regression to Linear Prediction and Beyond
  5. A Bayesian Committee Machine (Neural Computation)
  6. Sparse Bayesian Learning and the Relevance Vector Machine
  7. Fast Forward Selection to Speed Up Sparse Gaussian Process Regression
  8. Gaussian Process Priors with Uncertain Inputs - Application to Multiple-Step Ahead Time Series Forecasting
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Propagation of uncertainty in Bayesian kernel models - application to multiple-step ahead forecasting

Their papers