Asperti, Andrea

1. Balancing reconstruction error and Kullback-Leibler divergence in\n Variational Autoencoders
   2020/02/18 by Andrea Asperti, Matteo Trentin, Asperti, Andrea +1 · 4 citations
   Computer Science · Physics and Astronomy · Biochemistry, Genetics and Molecular Biology · #Generative Adversarial Networks and Image Synthesis #Model Reduction and Neural Networks #Cell Image Analysis Techniques
2. Wind speed super-resolution and validation: from ERA5 to CERRA via diffusion models
   2024/01/27 by Fabio Merizzi, Merizzi, Fabio, Andrea Asperti +3 · 4 citations
   Environmental Science · Engineering · #Wind and Air Flow Studies #Energy Load and Power Forecasting #Wind Energy Research and Development
3. Comparing the latent space of generative models
   2022/07/14 by Asperti, Andrea, Tonelli, Valerio · 2 citations
   #68T07 Artificial Intelligence and Deep Learning #FOS: Computer and information sciences #I.3.3 #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
4. Thinking Machines: Mathematical Reasoning in the Age of LLMs
   2025/08/01 by Andrea Asperti, Asperti, Andrea, Alberto Naibo +3 · 2 voices · 1 citation
   Computer Science · #68T07 #68T20 #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #I.2.3 #I.2.6 #I.2.7 #cs.AI
5. Precipitation nowcasting with generative diffusion models
   2023/08/13 by Andrea Asperti, Asperti, Andrea, Fabio Merizzi +9 · 2 citations
   Environmental Science · Earth and Planetary Sciences · #Climate variability and models #Meteorological Phenomena and Simulations #Precipitation Measurement and Analysis
6. Sparsity in Variational Autoencoders
   2018/12/18 by Andrea Asperti, Asperti, Andrea · 1 citation
   Biochemistry, Genetics and Molecular Biology · Computer Science · Physics and Astronomy · #Cell Image Analysis Techniques #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
7. Variance Loss in Variational Autoencoders
   2020/02/23 by Asperti, Andrea · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
8. A Notion of Complexity for Theory of Mind via Discrete World Models
   2024/06/16 by Huang, X. Angelo, La Malfa, Emanuele, Marro, Samuele +3 · 2 citations
   #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
9. Dissecting FLOPs along input dimensions for GreenAI cost estimations
   2021/07/26 by Andrea Asperti, Asperti, Andrea, Davide Evangelista +3 · 1 citation
   Computer Science · #68T07 #Advanced Neural Network Applications #FOS: Computer and information sciences #I.2 #Machine Learning (cs.LG) #Stochastic Gradient Optimization Techniques
10. Image Embedding for Denoising Generative Models
    2022/12/30 by Asperti, Andrea, Evangelista, Davide, Marro, Samuele +1 · 1 citation
    #68T07 #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #I.3.3 #Machine Learning (cs.LG)
11. A Critical Assessment of Modern Generative Models' Ability to Replicate Artistic Styles
    2025/02/21 by Andrea Asperti, Asperti, Andrea, Franky George +6 · 2 citations
    Psychology · #68T05 #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Creativity in Education and Neuroscience #FOS: Computer and information sciences #I.2.10 #I.5.4 #Machine Learning (cs.LG)