Marco Pasini

Generative Models · 2022

A researcher in the Science corpus: 1 paper; trusts 58 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Generative Models — 21 citations into it
• Computer Vision and Pattern Recognition — 20 citations into it; #20,471 of 21,575 by trust here, #21,424 by citations
• Signal Processing — 16 citations into it; #7,216 of 7,572 by trust here, #7,486 by citations
• Artificial Intelligence — 10 citations into it

Whom Marco Pasini trusts overall

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

1. Diederik P. Kingma
2. Xun Huang
3. Chris Donahue
4. Geoffrey E. Hinton
5. Aäron van den Oord
6. Tero Karras
7. Yoshua Bengio
8. Lars M. Mescheder
9. Ali Razavi
10. Patrick Esser

Who trusts Marco Pasini overall

1. Hubert Siuzdak

Papers from Marco Pasini's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. GENERATIVE ADVERSARIAL NETS
9. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Musika! Fast Infinite Waveform Music Generation (2022) — 43 citations