Ignacio Peis
Scholar

Ignacio Peis

Google Scholar ID: LGvZev2acusC
Postdoc, Technical University of Denmark (DTU)
Deep LearningProbabilistic Machine LearningBayesian InferenceArtificial Intelligence
Citations & Impact
All-time
Citations
98
 
H-index
5
 
i10-index
4
 
Publications
10
 
Co-authors
14
list available
Publications
1 items
Resume (English only)
Academic Achievements
  • Paper 'Hyper-Transforming Latent Diffusion Models' accepted at ICML 2025; Presented talks and posters at multiple conferences.
Research Experience
  • Working on various projects within Jes Frellsen's group at DTU; Previously, a research intern at the Machine Learning Group, Department of Engineering, University of Cambridge.
Education
  • PhD in Probabilistic Machine Learning from UC3M, supervised by Prof. Antonio Artés-Rodríguez and Dr. Pablo M. Olmos; Research Intern at the Machine Learning Group, Department of Engineering, University of Cambridge, working with Prof. José Miguel Hernández-Lobato; Holds two MSc degrees in Telecommunications Engineering and Signal Processing from UC3M, and a BSc degree in Telecommunications Engineering from UGR.
Background
  • Currently a Postdoctoral Researcher at the Section for Cognitive Systems, Technical University of Denmark (DTU). Interested in the connection between Deep Learning and Probabilistic Modelling. Current research focuses on creating more expressive generative models, increasing their robustness, and developing better inference methods. His work has been applied to fields such as Neuroscience, Physics, and Psychiatry.
Miscellany
  • Co-organizing the next Andaluz.IA forum, to be held on December 19, 2025, at the Higher Technical School of Engineering (ETSI), Universidad de Sevilla.