Youngser Park

Artificial Intelligence · 2005–2026

A researcher in the Science corpus: 13 papers; trusts 12 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 80 citations into it; #29,781 of 35,345 by trust here, #22,463 by citations
• Statistics and Probability — 34 citations into it; #11,362 of 12,932 by trust here, #4,517 by citations
• Natural Language Processing — 27 citations into it
• Representation & Self-Supervised Learning — 18 citations into it

Whom Youngser Park trusts overall

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

1. Hayden S. Helm
2. Yoshua Bengio
3. Chris Fraley
4. Brandon Duderstadt
5. Nils Reimers
6. Sebastian Thrun
7. Geoffrey E. Hinton
8. Yann LeCun
9. Julian Risch

Who trusts Youngser Park overall

1. Hayden S. Helm
2. Charu C. Aggarwal
3. Aranyak Acharyya
4. Brandon Duderstadt

Papers from Youngser Park's perspective

Ordered by how strongly the researchers Youngser Park trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers

• Statistical Inference on Random Dot Product Graphs: a Survey (2017) — 290 citations
• A central limit theorem for an omnibus embedding of multiple random graphs and implications for multiscale network inference (2017)
• Recovering manifold structure in LLM responses through a joint Euclidean mirror (2026)
• Data Kernel Perspective Space Performance Guarantees for Synthetic Data from Transformer Models (2026)
• Concentration bounds on response-based vector embeddings of black-box generative models (2025)
• Tracking the perspectives of interacting language models (2024) — 17 citations
• Statistical inference on black-box generative models in the data kernel perspective space (2024) — 12 citations
• Discovering a change point in a time series of organoid networks via the iso-mirror (2023)
• The connectome of an insect brain (2022)
• Dynamic Silos: Modularity in intra-organizational communication networks before and during the Covid-19 pandemic (2021)
• Dynamic Silos: Increased Modularity in Intra-organizational Communication Networks during the Covid-19 Pandemic (2021)
• The complete connectome of a learning and memory centre in an insect brain (2017) — 479 citations
• Scan Statistics on Enron Graphs (2005) — 365 citations