Srinivas Peeta
Artificial Intelligence · 2001–2017
A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 10 citations into it
- Computer Vision and Pattern Recognition — 5 citations into it
- Graph Learning — 5 citations into it
Whom Srinivas Peeta trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Srinivas Peeta overall
Papers from Srinivas Peeta's perspective
Ordered by how strongly the researchers Srinivas Peeta trusts endorse each paper. Same corpus, a different order for every researcher.
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Semi-Supervised Classification with Graph Convolutional Networks (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Predicting Station-level Hourly Demands in a Large-scale Bike-sharing Network: A Graph Convolutional Neural Network Approach (2017) — 418 citations
- Dynamic Game Theoretic Model of Multi-Layer Infrastructure Networks (2005) — 119 citations
- Foundations of Dynamic Traffic Assignment: The Past, the Present and the Future (2001) — 876 citations