I. Kumar

Signal Processing · 2023

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Signal Processing — 31 citations into it
• Artificial Intelligence — 26 citations into it
• Speech & Audio — 23 citations into it
• Generative Models — 16 citations into it
• Computer Vision and Pattern Recognition — 15 citations into it

Whom I. Kumar trusts overall

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

1. Yoshua Bengio
2. Aäron van den Oord
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Oriol Vinyals
6. Alex Krizhevsky
7. Gautham J. Mysore
8. Ilya Sutskever
9. Kaiming He

Papers from I. Kumar's perspective

Ordered by how strongly the researchers I. Kumar 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. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. WaveNet: A Generative Model for Raw Audio
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• High-Fidelity Audio Compression with Improved RVQGAN (2023) — 803 citations