Arto Klami

1. Group Factor Analysis
   2014/11/21 by Arto Klami, Klami, Arto, Seppo Virtanen +5 · 5 citations
   Biochemistry, Genetics and Molecular Biology · #Gene expression and cancer classification #Bioinformatics and Genomic Networks #Gene Regulatory Network Analysis
2. Prior knowledge elicitation: The past, present, and future
   2021/12/01 by Petrus Mikkola, Osvaldo A. Martin, Mikkola, Petrus +21 · 8 citations
   Computer Science · Mathematics · Decision Sciences · #Bayesian Modeling and Causal Inference #Statistical Methods and Bayesian Inference #Forecasting Techniques and Applications
3. Flexible Prior Elicitation via the Prior Predictive Distribution
   2020/02/23 by Marcelo Hartmann, Hartmann, Marcelo, Georgi Agiashvili +5 · 2 citations
   Computer Science · Mathematics · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Methodology (stat.ME) #Statistical Methods and Bayesian Inference #Statistical Methods and Inference
4. Estimating the Contamination Factor's Distribution in Unsupervised Anomaly Detection
   2022/10/19 by Lorenzo Perini, Paul Buerkner, Perini, Lorenzo +3 · 2 citations
   Computer Science · #Anomaly Detection Techniques and Applications #Data Stream Mining Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Network Security and Intrusion Detection
5. Variational Bayesian Decision-making for Continuous Utilities
   2019/02/02 by Tomasz Kuśmierczyk, Joseph Sakaya, Kuśmierczyk, Tomasz +3 · 1 citation
   Computer Science · #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
6. Density Ratio Estimation with Conditional Probability Paths
   2025/02/04 by Hanlin Yu, Arto Klami, Yu, Hanlin +7 · 1 voice · 3 citations
   Computer Science · #Machine Learning and Algorithms #cs.LG
7. Lagrangian Manifold Monte Carlo on Monge Patches
   2022/02/01 by Marcelo Hartmann, Mark Girolami, Hartmann, Marcelo +3 · 1 citation
   Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Markov Chains and Monte Carlo Methods #Methodology (stat.ME) #Topological and Geometric Data Analysis
8. Scalable Stochastic Gradient Riemannian Langevin Dynamics in Non-Diagonal Metrics
   2023/03/09 by Hanlin Yu, Marcelo Hartmann, Yu, Hanlin +5 · 1 citation
   Computer Science · Mathematics · #Gaussian Processes and Bayesian Inference #Markov Chains and Monte Carlo Methods #Adversarial Robustness in Machine Learning
9. Simplex-to-Euclidean Bijections for Categorical Flow Matching
   2025/10/31 by Bernardo Williams, Victor M. Yeom-Song, Williams, Bernardo +5 · 1 citation
   Computer Science · #Generative Adversarial Networks and Image Synthesis #Time Series Analysis and Forecasting #Anomaly Detection Techniques and Applications