Justin Gilmer
Publications by Year
Research Areas
Adversarial Robustness in Machine Learning, Advanced Neural Network Applications, Anomaly Detection Techniques and Applications, Explainable Artificial Intelligence (XAI), Neural Networks and Applications
Most-Cited Works
- → Neural Message Passing for Quantum Chemistry(2017)2,978 cited
- → The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization(2021)986 cited
- → Interpretability Beyond Feature Attribution: Quantitative Testing with\n Concept Activation Vectors (TCAV)(2017)732 cited
- → Sanity Checks for Saliency Maps(2018)604 cited
- → AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty(2019)566 cited
- → Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context(2024)276 cited
- → SVCCA: Singular Vector Canonical Correlation Analysis for Deep Learning Dynamics and Interpretability(2017)226 cited