Martin Mladenov
Artificial Intelligence · 2014–2020
A researcher in the Science corpus: 4 papers; trusts 7 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 51 citations into it; #16,556 of 35,345 by trust here, #22,463 by citations
- Management Science and Operations Research — 26 citations into it
- Information Systems — 22 citations into it
- Computer Vision and Pattern Recognition — 15 citations into it; #12,841 of 21,575 by trust here, #17,757 by citations
- Economics and Econometrics — 8 citations into it
- Computational Theory and Mathematics — 7 citations into it; #5,657 of 12,182 by trust here, #7,501 by citations
- Signal Processing — 7 citations into it
Whom Martin Mladenov trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Aranyak Mehta
- Mark Chavira
- Hao Cui
- Ruslan Salakhutdinov
- Thorsten Joachims
- Martin Jaggi
- F. Maxwell Harper
- Geoffrey E. Hinton
- Pedro M. Domingos
- Shayan Doroudi
Who trusts Martin Mladenov overall
Papers from Martin Mladenov's perspective
Ordered by how strongly the researchers Martin Mladenov 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
- Attention is All you Need (Neural Information Processing Systems)
- 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
- RecSim: A Configurable Simulation Platform for Recommender Systems (2019) — 215 citations
- Power Iterated Color Refinement (2014) — 41 citations
- The Symbolic Interior Point Method (2016) — 3 citations
- Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching Approach (2020) — 72 citations