Alexander Lavin

1. Simulation Intelligence: Towards a New Generation of Scientific Methods
   2021/12/06 by Alexander Lavin, David C. Krakauer, David Krakauer +49 · 2 voices · 7 citations
   Decision Sciences · #Scientific Computing and Data Management #Simulation Techniques and Applications #cs.AI #cs.CE #cs.LG #cs.MS
2. Unsupervised real-time anomaly detection for streaming data
   2017/11/01 by Subutai Ahmad, Alexander Lavin, Scott Purdy +1 · 8 citations
3. Technology Readiness Levels for AI & ML
   2020/06/21 by Alexander Lavin, Grégory Renard, Lavin, Alexander +1 · 6 citations
   Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Software Engineering (cs.SE) #Technology Assessment and Management
4. Multivariate Deep Evidential Regression
   2021/04/13 by Nis Meinert, Meinert, Nis, Alexander Lavin +1 · 4 citations
   Computer Science · Engineering · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Fault Detection and Control Systems #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE)
5. Digital Twin Earth -- Coasts: Developing a fast and physics-informed surrogate model for coastal floods via neural operators
   2021/10/14 by Peishi Jiang, Nis Meinert, Jiang, Peishi +19 · 1 citation
   Earth and Planetary Sciences · Environmental Science · Physics and Astronomy · #Atmospheric and Oceanic Physics (physics.ao-ph) #FOS: Physical sciences #Hydrological Forecasting Using AI #Meteorological Phenomena and Simulations #Model Reduction and Neural Networks
6. The Future of Fundamental Science Led by Generative Closed-Loop Artificial Intelligence
   2023/07/09 by Héctor Zenil, Jesper Tegnér, Zenil, Hector +37 · 1 citation
   Computer Science · Decision Sciences · Materials Science · #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Scientific Computing and Data Management