Mansi Rankawat

Probabilistic & Bayesian Methods · 2022

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Probabilistic & Bayesian Methods — 32 citations into it
• Artificial Intelligence — 21 citations into it
• Reinforcement Learning — 7 citations into it

Whom Mansi Rankawat trusts overall

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

1. Nir Friedman
2. Daniel Eaton
3. David Maxwell Chickering
4. Jack Kuipers
5. David E. Heckerman
6. Tom L. Burr
7. David Madigan

Papers from Mansi Rankawat's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Human-level control through deep reinforcement learning
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Bayesian Graphical Models for Discrete Data
8. Causality : Models , Reasoning , and Inference
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Optimal Structure Identification With Greedy Search

Their papers

• Bayesian Structure Learning with Generative Flow Networks (2022) — 202 citations