Gavin Mischler

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 35 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 47 citations into it
• Signal Processing — 37 citations into it
• Speech & Audio — 23 citations into it
• Generative Models — 16 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it

Whom Gavin Mischler trusts overall

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

1. Cong Han
2. Diederik P. Kingma
3. Heiga Zen
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Alex Krizhevsky
7. Nima Mesgarani
8. Alex Graves
9. Kaiming He
10. Ilya Sutskever

Papers from Gavin Mischler's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet classification with deep convolutional neural networks
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. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models (2023) — 287 citations