Aaron Gokaslan

Artificial Intelligence · with Arriola · 2019–2025

A researcher in the Science corpus: 3 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 69 citations into it
• Computer Vision and Pattern Recognition — 40 citations into it
• Generative Models — 25 citations into it
• Control and Systems Engineering — 15 citations into it
• Reinforcement Learning — 15 citations into it
• Statistical and Nonlinear Physics — 13 citations into it

Whom Aaron Gokaslan trusts overall

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

1. Diederik P. Kingma
2. Jonathan Ho
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Yann LeCun
6. Alex Krizhevsky
7. Ilya Sutskever
8. Pieter Abbeel
9. Kaiming He
10. Ashish Vaswani

Papers from Aaron Gokaslan's perspective

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

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

Their papers

• Learning Deep Parameterized Skills from Demonstration for Re-targetable Visuomotor Control (2019) — 11 citations
• BLOCK DIFFUSION: INTERPOLATING BETWEEN AU-TOREGRESSIVE AND DIFFUSION LANGUAGE MODELS (2025) — 334 citations
• Simple and Effective Masked Diffusion Language Models (2024) — 763 citations