Some Conferences/Workshops/Talks and Poster Presentations

•  CECAM Workshop: From Many-Body Hamiltonians To Machine Learning and Back
  May 2015,  Dahlem, Berlin, Germany

Gionni Marchetti  &  Alexandre Taktchenko
Some Relations between Quantum Mechanics and Machine Learning

•  PSI-K Conference
  September 2015,  , San Sebastian (Donostia), Spain

Gionni Marchetti  &  Alexandre Taktchenko
Some Relations between Quantum Mechanics and Machine Learning

• Structural Complexity in Natural Languages(s) 2 (SCNL)

     October 2017, Paris, France

    Modeling Language Dynamics (competition and naming games)

• Conference on Complex Systems 2018 (CCS2018)

September 2018, Thessaloniki, Greece

Gionni Marchetti  et al.
Statistical Learning Approach To Naming Game Dynamics In Complex Networks

• Conference Industry  Interactive Innovation in Science, Engineering and Technology (13SET2019) at JIS Engineering College

December 2019, Kolkata, India 

Gionni Marchetti  

A Bayesian approach to Consensus

• GW goes large-scale (GW-XL), Cecam Workshop

    June 2020, Aalto University, Finland

   Gionni Marchetti  &  Alexandre Taktchenko
  Small and Large Momentum Transfer Forms of the Effective Coulomb    Interaction in the RPA for Condensed Matter  Systems

•  International Workshop on Recent Developments in Electronic Structure (ES21) (Organizer: Simons Foundation)

July 2021, New York, U. S. A

Gionni Marchetti  

Assessment of the Approximate Potentials from the RPA Effective Interaction in Condensed Matter Systems

• Conference on Complex Systems 2021 (CCS2021)

September 2021,   Lyon, France

Gionni Marchetti   et  al.
Recent results in the Bayesian naming game

•  IUPAP Conference on Computational Physics CCP 2022

August 2022, The University of Texas, Austin, Texas, USA

Gionni Marchetti  

Analysis of the effects of  Fermi Golden rule’s on the spin decoherence in bulk GaAs

•  EMLG/JMLG (European/Japanese Molecular Liquids Group)

September 2022,  Universitat de Barcelona,  Barcelona,  Spain

Gionni Marchetti  et al.

Can Machine Learning help us to systematically analyze the UV Resonance Raman Spectra of Glycoproteins absorbing on Nanoparticles?

•  XXVII Sitges Conference on Statistical Mechanics

May 2023,  Sitges,  Spain

Gionni Marchetti  et al.

A General Machine Learning Approach for Protein-Nanoparticles Structure Analysis from Experiments

     Schools 

• High Performance Computing (HPC) Autumn Academy, Centre for Mathematical Sciences, 

September 2011, University of Cambridge, UK.