Khemraj Shukla
Artificial Intelligence · 2020–2021
A researcher in the Science corpus: 3 papers; trusts 20 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 29 citations into it; #26,653 of 35,345 by trust here, #29,412 by citations
- Statistical and Nonlinear Physics — 26 citations into it; #4,516 of 10,127 by trust here, #5,625 by citations
- Computational Mechanics — 15 citations into it
- Optimization & Training — 13 citations into it
- Geophysics — 11 citations into it
- Aerospace Engineering — 10 citations into it
- AI for Physical Sciences — 8 citations into it
Whom Khemraj Shukla trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ameya Dilip Jagtap
- G. Em Karniadakis
- Diederik P. Kingma
- E. Kharazmi
- Maizar Raissi
- Radu Bogdan Rusu
- Jimmy Ba
- Geoffrey E. Hinton
- Quoc V. Le
- Alex Krizhevsky
Who trusts Khemraj Shukla overall
- Ameya Dilip Jagtap
- Majid Rasht-Behesht
- G. Em Karniadakis
- Zhiping Mao
- Shengze Cai
- C. Huber
- Enrui Zhang
Papers from Khemraj Shukla's perspective
Ordered by how strongly the researchers Khemraj Shukla trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Going deeper with convolutions
Their papers
- Physics‐Informed Neural Networks (PINNs) for Wave Propagation and Full Waveform Inversions (2021) — 401 citations
- Parallel Physics-Informed Neural Networks via Domain Decomposition (2021) — 416 citations
- Physics-Informed Neural Network for Ultrasound Nondestructive Quantification of Surface Breaking Cracks (2020) — 292 citations