Alessandro Laio

1. Intrinsic dimension of data representations in deep neural networks
   2019/05/29 by Alessio Ansuini, Ansuini, Alessio, Alessandro Laio +5 · 53 citations
   Computer Science · Mathematics · #Face and Expression Recognition #Neural Networks and Applications #Morphological variations and asymmetry
2. The geometry of hidden representations of large transformer models
   2023/02/01 by Lucrezia Valeriani, Valeriani, Lucrezia, Diego Doimo +9 · 22 citations
   Biochemistry, Genetics and Molecular Biology · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Fractal and DNA sequence analysis #Genomics and Phylogenetic Studies #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Bioinformatics
3. Emergence of a High-Dimensional Abstraction Phase in Language Transformers
   2024/05/24 by Emily Cheng, Cheng, Emily, Diego Doimo +11 · 15 citations
   Social Sciences · Arts and Humanities · Computer Science · #Language and cultural evolution #Linguistics and Cultural Studies #Natural Language Processing Techniques
4. Foundation neural-networks quantum states as a unified Ansatz for multiple hamiltonians
   2025/02/13 by Riccardo Rende, Luciano Loris Viteritti, Rende, Riccardo +9 · 1 voice · 16 citations
   Physics and Astronomy · Computer Science · #Quantum many-body systems #Quantum Computing Algorithms and Architecture #Neural Networks and Reservoir Computing
5. A distributional simplicity bias in the learning dynamics of transformers
   2024/10/25 by Riccardo Rende, Rende, Riccardo, Federica Gerace +5 · 6 citations
   Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Neural Networks and Applications
6. Unsupervised detection of semantic correlations in big data
   2024/11/04 by Álex Rodríguez, Acevedo, Santiago, Rodriguez, Alex +2 · 3 citations
   Computer Science · #Advanced Clustering Algorithms Research #Artificial Intelligence (cs.AI) #Computational Physics (physics.comp-ph) #Data Mining Algorithms and Applications #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG)
7. Hierarchical nucleation in deep neural networks
   2020/07/07 by Diego Doimo, Aldo Glielmo, Doimo, Diego +5 · 1 citation
   Computer Science · Materials Science · #Domain Adaptation and Few-Shot Learning #Machine Learning in Materials Science #Generative Adversarial Networks and Image Synthesis