Martin Sedlacek

ELLIS PhD in robotics and vision at CIIRC CTU in Prague

headshot.jpg

CIIRC CTU, B-642

Jugoslávských partyzánů 1580/3, 160 00

Prague, Czech Republic

I'm a first year student in the ELLIS PhD programme co-advised by Josef Sivic (CIIRC) and Cordelia Schmid (INRIA Paris) working on robot learning and computer vision. I currently focus on generalization capabilities of VLAs - see our recent benchmarking work - REALM.

Previously, I completed the MSc in AI at the University of Amsterdam awarded with the "Cum Laude" distinction and received the ELLIS Honours Research scholarship.

Between 2018 and 2023, I also worked as a Software Engineer (Palantir, Amazon, Goldman Sachs) and simultaneously completed my undergraduate studies in Computer Science and Mathematics. I graduated with the EECS Final Year Prize (top 5% in the department) from Queen Mary University of London (QMUL) and received full funding for my studies as part of a degree apprenticeship with Goldman Sachs.

News

01/09/2025 Started as an ELLIS PhD at CIIRC in Prague working with Josef, Vladimir, and Cordelia.
15/06/2025 Graduated Cum Laude with an MSc. in AI from UvA.
01/09/2024 Accepted to the ELLIS Honours Research Fellowship co-advised by Josef Sivic and Cees Snoek focusing on generalization in VLAs.
17/07/2024 Blogpost on consistency models for molecular structure prediction accepted to the GRaM Workshop at ICML 2024.
28/05/2024 Reproducibility study accepted to MLRC'23@NeurIPS and jointly published in TMLR.

Selected publications

  1. lico.png
    REALM: A Real-to-Sim Validated Benchmark for Generalization in Robotic Manipulation
    Martin Sedlacek*, Pavlo Yefanov*, Georgy Ponimatkin, Jai Bardhan, Simon Pilc, Mederic Fourmy, Evangelos Kazakos, Cees G. M. Snoek, Josef Sivic, Vladimir Petrik
    arXiv, 2025
  2. edm.png
    Equivariant Diffusion for Molecule Generation in 3D using Consistency Models
    Martin Sedlacek*  Antonis Vozikis*,  Patrik Bartak,  Luke Cadigan, and  Mohan Guo
    GRaM Workshop @ ICML (Blogpost Track), 2024
  3. lico.png
    Reproducibility study of "LICO: Explainable Models with Language-Image Consistency"
    Luan Fletcher*,   Robert van der Klis*,  Martin Sedlacek*,  Stefan Vasilev*, and  Christos Athanasiadis
    TMLR, 2024