Puskal P. Pokharel
Artificial Intelligence · 2006–2008
A researcher in the Science corpus: 5 papers; trusts 18 researchers and is trusted by 14 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 21 citations into it; #17,675 of 35,345 by trust here, #26,682 by citations
- Statistical Learning Theory — 12 citations into it
- Control and Systems Engineering — 10 citations into it
- Signal Processing — 9 citations into it; #1,676 of 7,572 by trust here, #3,198 by citations
- Computer Vision and Pattern Recognition — 5 citations into it
- Scaling & Learning Theory — 5 citations into it
Whom Puskal P. Pokharel trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Deniz Erdoğmuş
- Vladimir Naumovich Vapni
- Bernhard Schölkopf
- José Carlos Príncipe
- Emanuel Parzen
- Alex Smola
- Francis R. Bach
- Aapo Hyvärinen
- Yuhai Wu
- Michael I. Jordan
Who trusts Puskal P. Pokharel overall
- Ran He
- Weifeng Liu
- Weishi Zheng
- Bao-Gang Hu
- Tongliang Liu
- Yu Qi
- José Carlos Príncipe
- Badong Chen
- Andrew Cotter
- David Charte
Papers from Puskal P. Pokharel's perspective
Ordered by how strongly the researchers Puskal P. Pokharel trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- The Kernel Least-Mean-Square Algorithm (2008) — 305 citations
- Correntropy: Properties and Applications in Non-Gaussian Signal Processing (2007) — 1,555 citations
- Correntropy: A Localized Similarity Measure (2006) — 178 citations
- Generalized correlation function: definition, properties, and application to blind equalization (2006) — 441 citations
- An Explicit Construction Of A Reproducing Gaussian Kernel Hilbert Space (2006) — 19 citations