Dellaportas, Petros

1. Gradient-based Adaptive Markov Chain Monte Carlo
   2019/11/04 by Michalis K. Titsias, Titsias, Michalis K., Πέτρος Δελλαπόρτας +1 · 3 citations
   Computer Science · Mathematics · #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods
2. A network and machine learning approach to detect Value Added Tax fraud
   2021/06/26 by Angelos Alexopoulos, Πέτρος Δελλαπόρτας, Alexopoulos, Angelos +9 · 2 citations
   Computer Science · #Applications (stat.AP) #FOS: Computer and information sciences #FOS: Physical sciences #Imbalanced Data Classification Techniques #Physics and Society (physics.soc-ph)
3. How Good are Low-Rank Approximations in Gaussian Process Regression?
   2020/04/03 by Daskalakis, Constantinos, Dellaportas, Petros, Panos, Aristeidis · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
4. Entropy-based adaptive Hamiltonian Monte Carlo
   2021/10/27 by Marcel Hirt, Michalis K. Titsias, Hirt, Marcel +3 · 1 citation
   Computer Science · Mathematics · Medicine · #Advanced Neuroimaging Techniques and Applications #Computation (stat.CO) #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods
5. Scalable Marked Point Processes for Exchangeable and Non-Exchangeable Event Sequences
   2021/05/30 by Panos, Aristeidis, Kosmidis, Ioannis, Dellaportas, Petros · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
6. Probabilistic Multi-Layer Perceptrons for Wind Farm Condition Monitoring
   2024/04/25 by Filippo Fiocchi, Fiocchi, Filippo, Domna Ladopoulou +3 · 1 citation
   Engineering · #Advanced Measurement and Detection Methods #Applications (stat.AP) #FOS: Computer and information sciences #Machine Fault Diagnosis Techniques #Machine Learning (cs.LG)