Mevlana Gemici
Artificial Intelligence · with Mohamed · 2016–2018
A researcher in the Science corpus: 3 papers; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 50 citations into it
- Computer Vision and Pattern Recognition — 26 citations into it
- Generative Models — 17 citations into it
- Probabilistic & Bayesian Methods — 17 citations into it
- Statistical and Nonlinear Physics — 7 citations into it
Whom Mevlana Gemici trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Danilo Jimenez Rezende
- Alex Graves
- Geoffrey E. Hinton
- Yoshua Bengio
- Shakir Mohamed
- Max Welling
- Kaiming He
- Alex Krizhevsky
- Radford M. Neal
Who trusts Mevlana Gemici overall
- David R Ha
- Danijar Hafner
- Valentin De Bortoli
- Joseph Marino
- Harshil Shah
- Jörg Bornschein
- J. Urgen Schmidhuber
- Danilo Jimenez Rezende
- Timothy P. Lillicrap
- James C. R. Whittington
Papers from Mevlana Gemici's perspective
Ordered by how strongly the researchers Mevlana Gemici trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- 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
- Unsupervised Predictive Memory in a Goal-Directed Agent (2018) — 206 citations
- Generative Temporal Models with Memory (2017) — 57 citations
- Normalizing Flows on Riemannian Manifolds (2016) — 120 citations