Hermanni Hälvä

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 11 citations into it
• Signal Processing — 8 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it
• Probabilistic & Bayesian Methods — 6 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Hermanni Hälvä trusts overall

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

1. Aapo Hyvärinen
2. Diederik P. Kingma
3. Hiroshi Morioka
4. Geoffrey E. Hinton
5. Pascal Vincent
6. Henning Sprekeler
7. Ilyes Khemakhem
8. Elizabeth S. Allman
9. Peter Sorrenson
10. Jimmy Ba

Who trusts Hermanni Hälvä overall

1. Bernhard Schölkopf

Papers from Hermanni Hälvä's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. GENERATIVE ADVERSARIAL NETS
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Hidden Markov Nonlinear ICA: Unsupervised Learning from Nonstationary Time Series (2020) — 94 citations