Taeb, Armeen

1. Inverse Problems and Data Assimilation
   2018/10/15 by Daniel Sanz-Alonso, Sanz-Alonso, Daniel, Andrew M. Stuart +3 · 9 citations
   Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Methodology (stat.ME)
2. Characterization and Greedy Learning of Gaussian Structural Causal Models under Unknown Interventions
   2022/11/27 by Gamella, Juan L., Taeb, Armeen, Heinze-Deml, Christina +1 · 2 citations
   #Computation (stat.CO) #FOS: Computer and information sciences #Machine Learning (stat.ML) #Methodology (stat.ME)
3. A Fast Non-parametric Approach for Local Causal Structure Learning
   2021/11/29 by Mona Azadkia, Armeen Taeb, Azadkia, Mona +3 · 1 citation
   Biochemistry, Genetics and Molecular Biology · Computer Science · #62D20 #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #FOS: Mathematics #Gene expression and cancer classification #Machine Learning (stat.ML) #Machine Learning and Algorithms #Methodology (stat.ME) #Statistics Theory (math.ST)
4. Provable concept learning for interpretable predictions using variational autoencoders
   2022/04/01 by Armeen Taeb, Taeb, Armeen, Nicolò Ruggeri +5 · 1 citation
   Computer Science · #AI in cancer detection #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare #Methodology (stat.ME)
5. A spectral method for multi-view subspace learning using the product of projections
   2024/10/24 by Renat Sergazinov, Sergazinov, Renat, Armeen Taeb +3 · 2 citations
   Engineering · #Advanced Measurement and Detection Methods
6. Causality-oriented robustness: exploiting general noise interventions
   2023/07/18 by Shen, Xinwei, Bühlmann, Peter, Taeb, Armeen · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)