Alexandros Kalousis

1. Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling
   2021/02/25 by Naoya Takeishi, Alexandros Kalousis, Takeishi, Naoya +1 · 10 citations
   Computer Science · Physics and Astronomy · #Generative Adversarial Networks and Image Synthesis #Model Reduction and Neural Networks #Explainable Artificial Intelligence (XAI)
2. Parametric Local Metric Learning for Nearest Neighbor Classification
   2012/09/13 by Jun Wang, Wang, Jun, Adam Woźnica +3 · 6 citations
   Computer Science · #Face and Expression Recognition #Video Surveillance and Tracking Methods #Face recognition and analysis
3. Continual Classification Learning Using Generative Models
   2018/10/24 by Frantzeska Lavda, Lavda, Frantzeska, Jason Ramapuram +5 · 2 citations
   Computer Science · Medicine · #COVID-19 diagnosis using AI #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications
4. Improving VAE generations of multimodal data through data-dependent conditional priors
   2019/11/25 by Frantzeska Lavda, Lavda, Frantzeska, Magda Gregorová +3 · 2 citations
   Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Music and Audio Processing #Speech Recognition and Synthesis
5. GLAD: Improving Latent Graph Generative Modeling with Simple Quantization
   2024/03/25 by Van Khoa Nguyen, Nguyen, Van Khoa, Yoann Boget +5 · 3 citations
   Computer Science · #Semantic Web and Ontologies #Graph Theory and Algorithms #Advanced Graph Neural Networks
6. Deep Grey-Box Modeling With Adaptive Data-Driven Models Toward Trustworthy Estimation of Theory-Driven Models
   2022/10/24 by Naoya Takeishi, Takeishi, Naoya, Alexandros Kalousis +1 · 2 citations
   Computer Science · Physics and Astronomy · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
7. Discrete Graph Auto-Encoder
   2023/06/13 by Yoann Boget, Boget, Yoann, Magda Gregorová +3 · 1 citation
   Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #Topic Modeling
8. Two-Stage Metric Learning
   2014/05/12 by Jun Wang, Wang, Jun, Ke Sun +7 · 1 citation
   Computer Science · #Artificial Intelligence (cs.AI) #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Text and Document Classification Technologies