Laks V. S. Lakshmanan

Artificial Intelligence · 2001–2024

A researcher in the Science corpus: 11 papers; trusts 71 researchers and is trusted by 35 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 87 citations into it; #8,983 of 35,345 by trust here, #9,760 by citations
• Statistical and Nonlinear Physics — 64 citations into it; #2,434 of 10,127 by trust here, #2,036 by citations
• Computer Networks and Communications — 31 citations into it; #1,193 of 9,886 by trust here, #2,687 by citations
• Information Systems — 30 citations into it; #5,277 of 8,771 by trust here, #3,761 by citations
• Large Language Models — 21 citations into it
• Management Science and Operations Research — 20 citations into it; #3,088 of 11,946 by trust here, #5,548 by citations
• Sociology and Political Science — 17 citations into it; #16,981 of 22,756 by trust here, #12,387 by citations
• Safety, Robustness & Interpretability — 12 citations into it

Whom Laks V. S. Lakshmanan trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Jon M. Kleinberg
2. Yajun Wang
3. David Kempe
4. Jure Leskovec
5. Kazumi Saito
6. Mark Newman
7. Matthew Richardson
8. Geoffrey E. Hinton
9. Chi Wang
10. Pedro M. Domingos

Who trusts Laks V. S. Lakshmanan overall

1. Youze Tang
2. Yuchen Li
3. Charu C. Aggarwal
4. Ihab F. Ilyas
5. Yanchen Shi
6. Xu Chu
7. Xiaokui Xiao
8. Jiawei Han
9. Linyuan Lu
10. Yongfeng Zhang

Papers from Laks V. S. Lakshmanan's perspective

Ordered by how strongly the researchers Laks V. S. Lakshmanan trusts endorse each paper. Same corpus, a different order for every researcher.

1. Attention is All you Need (Neural Information Processing Systems)
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
10. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)

Their papers

• Learning influence probabilities in social networks (2010) — 1,146 citations
• Mining frequent itemsets with convertible constraints (2001) — 391 citations
• On approximating optimum repairs for functional dependency violations (2009) — 209 citations
• Recommendation Diversification Using Explanations (2009) — 79 citations
• Automatic Detection of Machine Generated Text: A Critical Survey (2020) — 305 citations
• Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing (2024) — 356 citations
• Information and Influence Propagation in Social Networks (2013) — 433 citations
• A Data-Based Approach to Social Influence Maximization (2011) — 483 citations
• SIMPATH: An Efficient Algorithm for Influence Maximization under the Linear Threshold Model (2011) — 537 citations
• CELF++: optimizing the greedy algorithm for influence maximization in social networks (2011) — 962 citations
• TIMBER: A native XML database (2002) — 458 citations