Dmitri Carpov
Time-Series & Forecasting · 2019
A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Time-Series & Forecasting — 23 citations into it; #150 of 381 by trust here, #73 by citations
- Management Science and Operations Research — 20 citations into it; #4,884 of 11,946 by trust here, #2,402 by citations
- Model Architectures — 9 citations into it
- Evaluation & Benchmarks — 7 citations into it
- Statistics and Probability — 7 citations into it
- Economics and Econometrics — 6 citations into it
Whom Dmitri Carpov trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Vassilios Assimakopoulos
- Spyros Makridakis
- Rob J Hyndman
- Leo Breiman
- Charles C. Holt
- Evangelos Spiliotis
- Vinod Nair
- George Athanasopoulos
- Hsiang-Fu Yu
- Geoffrey E. Hinton
Who trusts Dmitri Carpov overall
- Haixu Wu
- Tian Zhou
- Gerald Woo
- Donghao Luo
- Zhijian Xu
- Abhimanyu Das
- Nate Gruver
- Yong Liu
- Shiyu Wang
- Ailing Zeng
Papers from Dmitri Carpov's perspective
Ordered by how strongly the researchers Dmitri Carpov trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Rectified Linear Units Improve Restricted Boltzmann Machines
- Bagging Predictors
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks (International Journal of Forecasting)
- Attention is All you Need (Neural Information Processing Systems)
- Deep State Space Models for Time Series Forecasting
Their papers
- N-BEATS: Neural basis expansion analysis for interpretable time series forecasting (2019) — 1,690 citations