Anusha Lalitha
Artificial Intelligence · 2014–2019
A researcher in the Science corpus: 4 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 31 citations into it
- Computer Networks and Communications — 22 citations into it
- Probabilistic & Bayesian Methods — 10 citations into it
- Management Science and Operations Research — 9 citations into it
- Electrical and Electronic Engineering — 7 citations into it
- Statistical and Nonlinear Physics — 6 citations into it
Whom Anusha Lalitha trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ali Jadbabaie
- Mark Newman
- Angelia Nedić
- Yarin Gal
- Charles Blundell
- Diederik P. Kingma
- Shahin Shahrampour
- Alexander Olshevsky
- Pooya Molavi
- Soummya Kar
Who trusts Anusha Lalitha overall
Papers from Anusha Lalitha's perspective
Ordered by how strongly the researchers Anusha Lalitha trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- Decentralized Bayesian Learning over Graphs (2019) — 27 citations
- Peer-to-peer Federated Learning on Graphs (2019) — 228 citations
- Learning via active hypothesis testing over networks (2017) — 4 citations
- Social learning and distributed hypothesis testing (2014) — 201 citations