Bryan Ostdiek
Harvard University(US)The NSF AI Institute for Artificial Intelligence and Fundamental Interactions(US)
Publications by Year
Research Areas
Particle physics theoretical and experimental studies, Dark Matter and Cosmic Phenomena, Anomaly Detection Techniques and Applications, Astronomy and Astrophysical Research, Computational Physics and Python Applications
Most-Cited Works
- → What is the machine learning?(2018)152 cited
- → The Dark Machines Anomaly Score Challenge: Benchmark Data and Model Independent Event Classification for the Large Hadron Collider(2022)116 cited
- → Towards the final word on neutralino dark matter(2016)94 cited
- → Relic neutralino surface at a 100 TeV collider(2015)64 cited
- → Challenges for unsupervised anomaly detection in particle physics(2022)52 cited
- → Deep Set Auto Encoders for Anomaly Detection in Particle Physics(2022)45 cited
- → Constraining the minimal dark matter fiveplet with LHC searches(2015)44 cited