Andrea Agazzi
Scholar

Andrea Agazzi

Google Scholar ID: -r0-fc8AAAAJ
IMSV, University of Bern
Probability TheoryInteracting Particle SystemsStochastic Dynamical SystemsChemical Reaction
Citations & Impact
All-time
Citations
250
 
H-index
10
 
i10-index
10
 
Publications
20
 
Co-authors
16
list available
Contact
Resume (English only)
Academic Achievements
  • Oral presentation at NeurIPS 2025: 'A multiscale analysis of mean-field transformers in the moderate interaction regime'.
  • NeurIPS 2025: 'Quantitative convergence of trained single layer neural networks to Gaussian processes'.
  • Oral presentation at ICLR 2025: 'Emergence of clustering in mean-field transformer models'.
  • ICML 2023: 'Global optimality of Elman-type recurrent neural networks in the mean-field regime'.
  • Published in Communications in Mathematical Physics (2023) on random splitting of fluid models.
  • Published in Annals of Applied Probability (2018) on large deviations for Markov jump models of chemical reaction networks.
  • Multiple publications in top venues including IEEE CDC, Stochastic Processes and Their Applications, Journal of Statistical Physics, etc.
  • Long-term collaborations with prominent researchers such as Jonathan Mattingly, Jianfeng Lu, and Jean-Pierre Eckmann.