Ari Heljakka
Generative Models · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 284 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Generative Models — 59 citations into it; #1,800 of 1,956 by trust here, #1,766 by citations
- Computer Vision and Pattern Recognition — 55 citations into it; #19,780 of 21,575 by trust here, #18,266 by citations
- Artificial Intelligence — 29 citations into it
- Statistical and Nonlinear Physics — 11 citations into it
- Probabilistic & Bayesian Methods — 7 citations into it
- Signal Processing — 6 citations into it
Whom Ari Heljakka trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yoshua Bengio
- Tero Karras
- Yann LeCun
- Ilya Sutskever
- Danilo Jimenez Rezende
- Ian J. Goodfellow
Who trusts Ari Heljakka overall
Papers from Ari Heljakka's perspective
Ordered by how strongly the researchers Ari Heljakka trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Pioneer Networks: Progressively Growing Generative Autoencoder (2018) — 41 citations
- Towards Photographic Image Manipulation with Balanced Growing of Generative Autoencoders (2019) — 15 citations