Dan A. Calian
Artificial Intelligence · 2021–2025
A researcher in the Science corpus: 4 papers; trusts 252 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 141 citations into it
- Computer Vision and Pattern Recognition — 91 citations into it
- Safety, Robustness & Interpretability — 84 citations into it
- Optimization & Training — 34 citations into it
- Generative Models — 17 citations into it
- Molecular Biology — 16 citations into it
- Hardware and Architecture — 14 citations into it
- Signal Processing — 14 citations into it
Whom Dan A. Calian trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Kaiming He
- Diederik P. Kingma
- Geoffrey E. Hinton
- Ian J. Goodfellow
- Yoshua Bengio
- Christian Szegedy
- Yann LeCun
- Ilya Sutskever
- Yurii E. Nesterov
Papers from Dan A. Calian's perspective
Ordered by how strongly the researchers Dan A. Calian trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Improving Robustness using Generated Data (2021) — 379 citations
- Fixing Data Augmentation to Improve Adversarial Robustness (2021) — 319 citations
- Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities (2025) — 3,609 citations
- Data Augmentation Can Improve Robustness (2021) — 411 citations