Damianou, Andreas

1. Preferential Bayesian Optimization
   2017/04/12 by Javier González, Gonzalez, Javier, Zhenwen Dai +5 · 13 citations
   Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Advanced Multi-Objective Optimization Algorithms #Gaussian Processes and Bayesian Inference
2. Variational Information Distillation for Knowledge Transfer
   2019/04/11 by Sung Soo Ahn, Shell Xu Hu, Ahn, Sungsoo +7 · 14 citations
   Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM
3. Policy-as-Prompt: Rethinking Content Moderation in the Age of Large Language Models
   2025/02/25 by Konstantina Palla, José Luis Redondo-García, Palla, Konstantina +13 · 15 citations
   Computer Science · Social Sciences · #Hate Speech and Cyberbullying Detection #Misinformation and Its Impacts #Spam and Phishing Detection
4. Deep Gaussian Processes for Multi-fidelity Modeling
   2019/03/18 by Kurt Cutajar, Mark Pullin, Cutajar, Kurt +7 · 5 citations
   Computer Science · #Gaussian Processes and Bayesian Inference #Advanced Multi-Objective Optimization Algorithms #Machine Learning and Data Classification
5. Fast Adaptation with Linearized Neural Networks
   2021/03/02 by Maddox, Wesley J., Tang, Shuai, Moreno, Pablo Garcia +2 · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
6. Text2Tracks: Prompt-based Music Recommendation via Generative Retrieval
   2025/03/31 by Enrico Palumbo, Palumbo, Enrico, Gustavo Penha +13 · 6 citations
   Computer Science · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Music and Audio Processing #Recommender Systems and Techniques #Topic Modeling
7. Towards Graph Foundation Models for Personalization
   2024/03/12 by Andreas Damianou, Francesco Fabbri, Damianou, Andreas +11 · 3 citations
   Computer Science · #Distributed and Parallel Computing Systems
8. Variational Auto-encoded Deep Gaussian Processes
   2015/11/19 by Dai, Zhenwen, Damianou, Andreas, González, Javier +1 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
9. Gaussian Process Models with Parallelization and GPU acceleration
   2014/10/18 by Zhenwen Dai, Dai, Zhenwen, Andreas Damianou +5 · 1 citation
   Computer Science · Physics and Astronomy · #Advanced Multi-Objective Optimization Algorithms #Distributed #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Parallel #Scientific Research and Discoveries #and Cluster Computing (cs.DC)
10. Empirical Bayes Transductive Meta-Learning with Synthetic Gradients
    2020/04/27 by Shell Xu Hu, Pablo García Moreno, Hu, Shell Xu +11 · 1 citation
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Machine Learning and ELM
11. Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations
    2025/08/13 by De Nadai, Marco, Damianou, Andreas, Lalmas, Mounia · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Information Retrieval (cs.IR)