Jayant R. Kalagnanam
Artificial Intelligence · 2003–2023
A researcher in the Science corpus: 9 papers; trusts 60 researchers and is trusted by 20 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 70 citations into it; #9,189 of 35,345 by trust here, #7,531 by citations
- Signal Processing — 26 citations into it; #5,717 of 7,572 by trust here, #3,309 by citations
- Computer Vision and Pattern Recognition — 22 citations into it
- Statistical Learning Theory — 16 citations into it
- Management Science and Operations Research — 15 citations into it; #8,932 of 11,946 by trust here, #4,430 by citations
- Model Architectures — 15 citations into it
- Algorithms & Complexity — 14 citations into it; #422 of 516 by trust here, #285 by citations
- Information Systems — 13 citations into it; #3,850 of 8,771 by trust here, #2,539 by citations
Whom Jayant R. Kalagnanam trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- J. Ross Quinlan
- Christodoulos A. Floudas
- Dimitris J. Bertsimas
- Chih-Jen Lin
- B. H. Kim
- Kaiming He
- Geoffrey E. Hinton
- Yoshua Bengio
- Mohammad Norouzi
- Leo Breiman
Who trusts Jayant R. Kalagnanam overall
- Emilio Carrizosa
- Vinícius G. Costa
- Mohammad Alrifai
- Rafael Blanquero
- Murat Firat
- Cristina Molero-Río
- Zibin Zheng
- Sina Aghaei
- Thibaut Vidal
- Haoran Zhu
Papers from Jayant R. Kalagnanam's perspective
Ordered by how strongly the researchers Jayant R. Kalagnanam trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- A Time Series is Worth 64 Words: Long-term Forecasting with Transformers (2022) — 4,010 citations
- TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting (2023) — 397 citations
- Optimal decision trees for categorical data via integer programming (2021) — 94 citations
- A Scalable MIP-based Method for Learning Optimal Multivariate Decision Trees (2020) — 46 citations
- Optimal Generalized Decision Trees via Integer Programming (2016) — 33 citations
- Some Efficient Optimization Methods for Solving the Security-Constrained Optimal Power Flow Problem (2014) — 96 citations
- Foundations for Smarter Cities (2010) — 1,104 citations
- QoS-aware middleware for Web services composition (2004) — 2,967 citations
- Quality driven web services composition (2003) — 1,295 citations