Shivam Handa

Probabilistic & Bayesian Methods · 2018

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Probabilistic & Bayesian Methods — 21 citations into it
• Artificial Intelligence — 16 citations into it

Whom Shivam Handa trusts overall

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

1. Vikash K. Mansinghka
2. David John Cameron MacKay
3. Tom Minka
4. Avi Pfeffer
5. Lawrence M. Murray
6. Martin J. Wainwright

Papers from Shivam Handa's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Expectation Propagation for approximate Bayesian inference
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Graphical Models, Exponential Families, and Variational Inference
5. Gradient-based learning applied to document recognition
6. Information Theory, Inference, and Learning Algorithms
7. Long Short-Term Memory
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Church: a language for generative models
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Probabilistic programming with programmable inference (2018) — 63 citations