Matthieu Wyart

1. A Phase Transition in Diffusion Models Reveals the Hierarchical Nature of Data
   2024/02/26 by Antonio Sclocchi, Sclocchi, Antonio, Alessandro Favero +3 · 9 citations
   Computer Science · Physics and Astronomy · #Advanced Mathematical Modeling in Engineering #Advanced Thermodynamics and Statistical Mechanics #Computer Vision and Pattern Recognition (cs.CV) #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Theoretical and Computational Physics
2. Relation between Bid-Ask Spread, Impact and Volatility in Double Auction Markets
   2006/03/10 by Matthieu Wyart, Jean‐Philippe Bouchaud, Wyart, Matthieu +7 · 2 citations
   Economics, Econometrics and Finance · Decision Sciences · #Financial Markets and Investment Strategies #Auction Theory and Applications #Complex Systems and Time Series Analysis
3. Learning sparse features can lead to overfitting in neural networks
   2022/06/24 by Leonardo Petrini, Petrini, Leonardo, Francesco Cagnetta +5 · 2 citations
   Computer Science · Mathematics · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Medical Image Segmentation Techniques #Statistical Methods and Inference
4. Dissecting the Effects of SGD Noise in Distinct Regimes of Deep Learning
   2023/01/31 by Antonio Sclocchi, Sclocchi, Antonio, Mario Geiger +3 · 1 citation
   Computer Science · Materials Science · #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Computer and information sciences #FOS: Physical sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning in Materials Science #Neural Networks and Applications
5. A phase transition in diffusion models reveals the hierarchical nature of data
   2025/01/02 by Antonio Sclocchi, Alessandro Favero, Matthieu Wyart · 1 voice · 2 citations
   Computer Science · Biochemistry, Genetics and Molecular Biology · #Generative Adversarial Networks and Image Synthesis #Cell Image Analysis Techniques #Bayesian Methods and Mixture Models
6. How Compositional Generalization and Creativity Improve as Diffusion Models are Trained
   2025/02/17 by Alessandro Favero, Antonio Sclocchi, Favero, Alessandro +7 · 2 citations
   Psychology · #Creativity in Education and Neuroscience #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
7. Symmetry in language statistics shapes the geometry of model representations
   2026/02/16 by Dhruva Karkada, Daniel J. Korchinski, Andres Nava +2 · 2 voices · 2 citations
   #cs.LG #cond-mat.dis-nn #cs.CL
8. On the Emergence of Linear Analogies in Word Embeddings
   2025/05/24 by Daniel J. Korchinski, Korchinski, Daniel J., Dhruva Karkada +5 · 1 voice · 1 citation
   Computer Science · Physics and Astronomy · #Computation and Language (cs.CL) #Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #cond-mat.dis-nn #cs.CL #cs.LG