Dr. Gorka Munoz-Gil

More Information

• FLD Research Documentation

  Publications 2024

  Contributions to Books / Journals

  Journal Article (Original Paper)

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    Caraglio, M.; Kaur, H.; Fiderer, L.; Lopez-Incera, A.; Briegel, H.J.; Franosch, T.; Munoz-Gil, G. (2024): Learning how to find targets in the micro-world: the case of intermittent active Brownian particles.
    In: Soft Matter 20/9, pp. 2008 - 2016. (DOI) (Web link)
    
    
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    Fernández-Fernández, G.; Manzo, C.; Lewenstein, M.; Dauphin, A.; Munoz Gil, G. (2024): Learning minimal representations of stochastic processes with variational autoencoders.
    In: Physical Review E (Statistical, Nonlinear, and Soft Matter Physics) E 110, NO. L012102. (DOI) (Web link)
    
    
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    Fürrutter, F.; Munoz-Gil, G.; Briegel, Hans J. (2024): Quantum circuit synthesis with diffusion models.
    In: Nature Machine Intelligence 6, pp. 515 - 524. (DOI) (Web link)
    
    
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    Munoz Gil, G.; Lopez-Incera, A.; Fiederer, L.; Briegel, Hans J. (2024): Optimal foraging strategies can be learned.
    In: New Journal of Physics 26, No. 013010. (DOI) (Web link)
    
    

  
  
  

  Lectures 2024

  Presentations at Conferences, Symposia, etc.

  Conference Lecture (Invited Lecture)

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    Lecturer(s): Munoz-Gil, G.: AI and scientific discovery: get the machine’s hands dirty!
    AIM24 - Artificial Intelligence for iMaging 2024, Tarragona, 2024-05-28. (Web link)
    
    
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    Lecturer(s): Munoz-Gil, G.: Diffusion models: from quantum circuit synthesis to experiment generation.
    Machine Learning and Quantum Physics Workshop (ML24), Obergurgl, 2024-03-25. (Web link)
    
    
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    Lecturer(s): Muñoz-Gil, Gorka: Exploring the world with you hands: action representation in Sciences.
    Artifical Intelligence in Imaging, Tarragona, 2024-05-27. (Web link)
    
    

  Poster Presentation

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    Lecturer(s): Munoz Gil, G.: Quantum diffusion models for quantum circuit synthesis.
    Quantum Optics Obergurgl 2024, Obergurgl, 2024-03-01. (Web link)
    
    
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    Lecturer(s): Muñoz-Gil, Gorka: Quantum circuit synthesis with diffusion models.
    Workshop at the International Conference on Machine Learning (ICML 2024), Wien, 2024-07-26. (Web link)
    
    
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    Lecturer(s): Muñoz-Gil, Gorka: Quantum circuit synthesis with diffusion models.
    6th Seefeld Workshop on Quantum Information, Seefeld, 2024-06-27. (Web link)
    
    

  
  
  

  Publications 2023

  Contributions to Books / Journals

  Journal Article (Original Paper)

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    Requena, B.; Masó-Orriols, S.; Bertran, J.; Lewenstein, M.; Manzo, C.; Munoz Gil, G. (2023): Inferring pointwise diffusion properties of single trajectories with deep learning.
    In: Biophysical Journal 122/22, pp. 4360 - 4369. (DOI) (Web link)
    
    
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    Requena, B.; Munoz-Gil, G.; Lewenstein, M.; Dunjko, V.; Tura, J. (2023): Certificates of quantum many-body properties assisted by machine learning.
    In: Physical Review Research 5/1, No. 013097. (DOI) (Web link)
    
    

  Journal Article (Editorial)

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    Manzo, C.; Munoz-Gil, G.; Volpe, G.; Garcia-March, M. A.; Lewenstein, M.; Metzler, R. (2023): Preface: characterisation of physical processes from anomalous diffusion data.
    In: Journal of Physics A-Mathematical and Theoretical 56/1, No. 010401. (DOI) (Web link)
    
    

  Other Publications

  Electronic Publication (Preprint)

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    Grzybowski, P. R.; Jankiewicz, A.; Piñol, E.; Cirauqui, D.; Grzybowska, D.H.; Petrykowski, P. M.; García-March, M. A.; Lewenstein, M.; Munoz-Gil, G.; Pozas-Kerstjens, A. (2023): Universal representation by Boltzmann machines with Regularised Axons. (DOI) (Web link)
    
    
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    Munoz-Gil, G.; Bachimanchi, H.; Pineda, J.; Midtvedt, B.; Lewenstein, M.; Metzler, R.; Krapf, D.; Volpe, G.; Manzo, C. (2023): Quantitative evaluation of methods to analyze motion changes in single-particle experiments. (DOI) (Web link)
    
    

  
  
  

  Lectures 2023

  Presentations at Conferences, Symposia, etc.

  Conference Lecture (Invited Lecture)

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    Lecturer(s): Munoz-Gil, Gorka: ML, randomness and Phyiscs.
    Machine Learning and (Quantum) Physics, Obergurgl, 2023-04-09. (Web link)
    
    

  Lecture at Summer-/Winterschool

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    Lecturer(s): Munoz Gil, G.: Optimal foraging strategies can be learned and outperform Lévy walks.
    Summer School on Mathematics of Movement, Cambridge, 2023-07-18. (Web link)
    
    

  Poster Presentation

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    Lecturer(s): Fürrutter, F. Co-author(s): Munoz-Gil, G.; Briegel, Hans J.: Multi-task generative diffusion models in quantum information.
    SFB BeyondC Autumn Workshop 2023, Innsbruck, 2023-09-11. (Web link)
    
    

  
  
  

  Publications 2022

  Contributions to Books / Journals

  Journal Article (Original Paper)

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    Gorka Munoz Gil, G.; Dauphin, A.; Federica A. Beduini, F. A.; Sánchez de Miguel, A. (2022): Citizen Science to Assess Light Pollution with Mobile Phones.
    In: Remote Sensing 14/19, Nr. 4976. (DOI) (Web link)
    
    
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    Munoz Gil, G.; Romero-Aristizabal, C.; Mateos, N.; Campelo, F.; I. de Llobet Cucalon, L.; Beato, M.; Lewenstein, M.; Maria F. Garcia-Parajo, M. F.; Torreno-Pina, J. A. (2022): Stochastic particle unbinding modulates growth dynamics and size of transcription factor condensates in living cells.
    In: PNAS. Proceedings of the National Academy of Sciences 119/31, Nr. e2200667119. (DOI) (Web link)
    
    

  Other Publications

  Electronic Publication (Preprint)

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    Cirauqui, D.; García-March, M. A.; Corominas, G. G.; Graß, T.; Grzybowski, P. R.; Munoz Gil, G.; Saavedra, J. R. M.; Lewenstein, M. (2022): Quantum Random Number Generators : Benchmarking and Challenges. (Web link)
    
    
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    Dawid, A.; Arnold, J.; Requena, B.; ..., ...; Munoz Gil, G.; ..., ...; Dauphin, A (2022): Modern applications of machine learning in quantum sciences. (Web link)
    
    

  
  
  

  Lectures 2022

  Presentations at Conferences, Symposia, etc.

  Conference Lecture (Invited Lecture)

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    Lecturer(s): Munoz Gil, G.: Machine learning approaches to anomalous diffusion.
    Physics in Biology and Medicine 2022, Maó, 2022-10-21. (Web link)
    
    
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    Lecturer(s): Munoz-Gil, G.: Creating community driven challenges to advance Science.
    Machine Learning in Natural Sciences: from Quantum Physics to Nanoscience and Structural Biology, Hamburg, 2022-09-19. (Web link)
    
    
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    Lecturer(s): Munoz-Gil, G.: Learning physics and optimal strategies with artificial agents.
    Venice meeting on Fluctuations in small complex systems VI, Venedig, 2022-09-05. (Web link)
    
    

  Poster Presentation

  • 
    Lecturer(s): Munoz Gil, G.: Certificates of quantum many body properties assisted by machine learning.
    5th Seefeld Workshop on Quantum Information, Seefeld, 2022-06-28. (Web link)
    
    
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    Lecturer(s): Munoz-Gil, G.: Understanding optimal strategies in real-world scenarios via reinforcement learning.
    Measurement-Based Quantum Computation, Learning and Agency (MBQC 2022), Obergurgl, 2022-09-01. (Web link)
    
    

  
  
  

  Lectures 2021

  Presentations at Conferences, Symposia, etc.

  Conference Lecture (Invited Lecture)

  • 
    Lecturer(s): Munoz Gil, G.: Machine learning approaches to anomalous diffusion data.
    Venice meeting on Fluctuations in small complex systems V, Venedig, 2021-10-04. (Web link)