Antonios Vozikis

Hi and welcome!

My primary research interests lie in Generative AI, Geometric Deep Learning and Scientific Machine Learning. Equiped with a Master in Artificial Intelligence at VU in a cooperation with UvA in Amsterdam, where I am exploring the vast potentials of AI. My thesis research is focused on the development of novel generative models for graphs and more specific knowledge graphs.

I am a graduate in Electrical and Computer Engineering with a lifelong passion for Mathematics. From a young age, I found joy in solving mathematical problems, which led me to work as a Mathematics and Python Programming teacher. Following my instincts and curiosity, I have shifted my trajectory into the field of AI, aiming to leverage technology for societal advancement. My goal is to use my skills and knowledge to drive positive societal change, fostering a brighter future.

When I’m not immersed in my research, I enjoy reading a wide range of books, indulging in a good cup of coffee, and taking long walks in nature. These activities not only provide relaxation but also inspire new ideas and perspectives.

latest posts

Jun 30, 2024	Equivariant Diffusion for Molecule Generation in 3D using Consistency Models

selected publications

ICCV

Morpheus: Benchmarking Physical Reasoning of Video Generative Models with Real Physical Experiments

Chenyu Zhang, Daniil Cherniavskii, Andrii Zadaianchuk , and 7 more authors

(under review), Apr 2025

Bib HTML

@article{MorpheusBenchmark,
  title = {Morpheus: Benchmarking Physical Reasoning of Video Generative Models with Real Physical Experiments},
  author = {Zhang, Chenyu and Cherniavskii, Daniil and Zadaianchuk, Andrii and Tragoudaras, Antonios and Vozikis, Antonios and Nijdam, Thijmen and Prinzhorn, Derck W. E. and Bodracska, Mark and Sebe, Nicu and Gavves, Efstratios},
  journal = {(under review)},
  year = {2025},
  month = apr,
  url = {https://arxiv.org/abs/2504.02918},
}

ICML

Equivariant Diffusion for Molecule Generation in 3D using Consistency Models

M. Sedlacek^*, A. Vozikis^*, P. Bartak , and 2 more authors

ICML, GRaM Workshop, Jul 2024

Bib HTML

@article{EquivariantGeneration,
  title = {Equivariant Diffusion for Molecule Generation in 3D using Consistency Models},
  author = {Sedlacek, M. and Vozikis, A. and Bartak, P. and Cadigan, L. and Guo, M.},
  journal = {ICML, GRaM Workshop},
  year = {2024},
  month = jul,
  url = {https://gram-blogposts.github.io/blog/2024/equivariant_diffusion},
}

news

Nov 01, 2024	I’m excited to share that I’ll be a teaching assistant for the master course Deep Learning at VU Amsterdam ! It’s a great opportunity to engage with the material deeply and help others navigate this fascinating field.
Oct 01, 2024	Excited to have completed my research project at CWI, where I designed the entire pipeline, explored cutting-edge techniques, combining deep learning models with SHAP values and large language models to transform black-box predictions into actionable maintenance insights. It feels incredibly rewarding to see my hard work come together, especially in such an innovative application of AI!Check my work under the supervision of Eric Pauwels here CWI Research Project
Jul 22, 2024	Blog post accepted in ICML 2024 under the GRaM Workshop. Find more details here: GRaM Workshop Blogpost
Jun 01, 2024	I’m thrilled to announce the beginning of my internship at CWI, the national institute for computer science and mathematics in the Netherlands. The goal of the current research project is to employ artificial intelligence (AI) to identify marine engine failures and provide mechanics with knowledge about the different ways they can solve the problem.
Sep 01, 2023	I am excited to announce that I’ve started a cooperative Master’s program in Artificial Intelligence between VU and UvA in Amsterdam. Really curious to learn more about this fast evolving field!