Nimalan Mahendran

Artificial Intelligence · 2012

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it
• Statistics and Probability — 9 citations into it
• Probabilistic & Bayesian Methods — 7 citations into it; #1,169 of 1,525 by trust here, #1,113 by citations

Whom Nimalan Mahendran trusts overall

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

1. Christophe Andrieu
2. Daniel J. Lizotte
3. Michael A. Osborne
4. Daniel E. Finkel
5. Eric Brochu
6. Nando de Freitas
7. Matthias Schonlau
8. Matthew D. Hoffman
9. Robert B. Gramacy
10. Firas Hamze

Who trusts Nimalan Mahendran overall

1. Ziyun Wang
2. Bobak Shahriari
3. Kirthevasan Kandasamy
4. Nando de Freitas
5. Matthew D. Hoffman
6. Jacob V. Gardner
7. Jasper Snoek
8. Jeff Schneider
9. Babak Shakibi
10. Matt J. Kusner

Papers from Nimalan Mahendran's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Learning Multiple Layers of Features from Tiny Images
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Reinforcement Learning: An Introduction
7. Long Short-Term Memory
8. A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• Adaptive MCMC with Bayesian Optimization (2012) — 80 citations