Anshuman Mishra
Global and Planetary Change · 2006–2023
A researcher in the Science corpus: 11 papers; trusts 18 researchers and is trusted by 19 researchers here, as inferred from the citation graph.
Subfields
- Global and Planetary Change — 72 citations into it; #1,051 of 10,225 by trust here, #3,280 by citations
- Artificial Intelligence — 35 citations into it
- Finance — 23 citations into it
- Water Science and Technology — 22 citations into it
- Environmental Engineering — 19 citations into it; #1,260 of 5,479 by trust here, #2,775 by citations
- Statistics and Probability — 15 citations into it
- Evaluation & Benchmarks — 14 citations into it
- Atmospheric Science — 11 citations into it; #4,027 of 4,804 by trust here, #2,716 by citations
Whom Anshuman Mishra trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Hirotugu Akaike
- Lianjun Zhang
- Tushar Khot
- Geoffrey E. Hinton
- Yoshua Bengio
- Vijay P. Singh
- Diederik P. Kingma
- Peter Clark
- Katja Filippova
- Yinhan Liu
Who trusts Anshuman Mishra overall
- Ö. F. Durdu
- Songbai Song
- Gabriel Constantino Blain
- Vijay P. Singh
- Anurag Malik
- Jianzhu Li
- A. Belayneh
- Yujie Li
- Yuhu Zhang
- Anil Kumar
Papers from Anshuman Mishra's perspective
Ordered by how strongly the researchers Anshuman Mishra trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
Their papers
- Looking Beyond Sentence-Level Natural Language Inference for Question Answering and Text Summarization (2021) — 62 citations
- Drought forecasting using feed-forward recursive neural network (2006) — 374 citations
- Open Data from the Third Observing Run of LIGO, Virgo, KAGRA, and GEO (2023) — 273 citations
- Compound natural and human disasters: Managing drought and COVID-19 to sustain global agriculture and food sectors (2020) — 164 citations
- Multivariate drought index: An information theory based approach for integrated drought assessment (2015) — 240 citations
- Identification of the best multi-model combination for simulating river discharge (2015) — 55 citations
- A bivariate mixed distribution with a heavy‐tailed component and its application to single‐site daily rainfall simulation (2013) — 117 citations
- Drought Analysis Using Copulas (2013) — 119 citations
- Simulation of the entire range of daily precipitation using a hybrid probability distribution (2012) — 74 citations
- Drought characterization: a probabilistic approach (2009) — 231 citations
- Developments in hydrometric network design: A review (2009) — 320 citations