Deepak Garg

Mechanical Engineering · 2020

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Mechanical Engineering — 28 citations into it
• Computational Mechanics — 9 citations into it

Whom Deepak Garg trusts overall

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

1. I. Mudawar
2. Didrik Nielsen
3. Sung-Min Kim
4. James Bergstra
5. Bernard Widrow

Who trusts Deepak Garg overall

1. Zhibin Yu

Papers from Deepak Garg's perspective

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

1. Random Search for Hyper-Parameter Optimization
2. Adaptive switching circuits
3. Universal approach to predicting saturated flow boiling heat transfer in mini/micro-channels - Part II. Two-phase heat transfer coefficient
4. Tree Boosting With XGBoost - Why Does XGBoost Win "Every" Machine Learning Competition?
5. ImageNet classification with deep convolutional neural networks
6. Gradient-based learning applied to document recognition
7. Two-Phase Microchannel Heat Sinks: Theory, Applications, and Limitations
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Machine learning algorithms to predict flow condensation heat transfer coefficient in mini/micro-channel utilizing universal data (2020) — 165 citations
• An artificial neural network model to predict mini/micro-channels saturated flow boiling heat transfer coefficient based on universal consolidated data (2020) — 139 citations