Parashkev Nachev

Computer Vision and Pattern Recognition · 2008–2022

A researcher in the Science corpus: 4 papers; trusts 1 researcher and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Parashkev Nachev trusts overall

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

  1. Mary A. Mayka
  2. Ross Cunnington
  3. Markus Ullsperger
  4. Adam R. Aron
  5. Masaki Isoda

Who trusts Parashkev Nachev overall

  1. Gianluca Baldassarre
  2. Amitai Shenhav
  3. Matthew Botvinick
  4. Daniele Caligiore
  5. Martin Wiener
  6. Francesco Mannella
  7. Robert M. Hardwick

Papers from Parashkev Nachev's perspective

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

  1. Denoising Diffusion Probabilistic Models (Neural Information Processing Systems)
  2. Hierarchical Text-Conditional Image Generation with CLIP Latents (arXiv.org)
  3. Autoencoding beyond pixels using a learned similarity metric
  4. Deep Unsupervised Learning using Nonequilibrium Thermodynamics
  5. ImageNet classification with deep convolutional neural networks
  6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  7. Denoising Diffusion Implicit Models
  8. Imaging the premotor areas. (Current Opinion in Neurobiology)
  9. High-Resolution Image Synthesis with Latent Diffusion Models (Computer Vision and Pattern Recognition)
  10. The Unreasonable Effectiveness of Deep Features as a Perceptual Metric

Their papers