Guillaume Leclerc
Massachusetts Institute of Technology(US)
Publications by Year
Research Areas
Adversarial Robustness in Machine Learning, Advanced Neural Network Applications, Acute Ischemic Stroke Management, Anomaly Detection Techniques and Applications, COVID-19 diagnosis using AI
Most-Cited Works
- SageDB: A Learned Database System(2019)
- → Model metamers reveal divergent invariances between biological and artificial neural networks(2023)41 cited
- → OpenAI o1 System Card(2024)34 cited
- → FFCV: Accelerating Training by Removing Data Bottlenecks(2023)23 cited
- → Adversarially trained neural representations may already be as robust as corresponding biological neural representations(2022)19 cited
- → Datamodels: Predicting Predictions from Training Data(2022)18 cited
- → Machine learning for early dynamic prediction of functional outcome after stroke(2024)18 cited
- → The Seamless Peer and Cloud Evolution Framework(2016)16 cited
- → Raising the Cost of Malicious AI-Powered Image Editing(2023)15 cited
- → 3DB: A Framework for Debugging Computer Vision Models(2021)14 cited