Gideon Stein, M.Sc.
Gideon Stein
Address: Computer Vision Group
Department of Mathematics and Computer Science
Friedrich Schiller University of Jena
Ernst-Abbe-Platz 2
07743 Jena
Germany
Phone: +49 (0) 3641 9 46425
E-mail: gideon (dot) stein (at) uni-jena (dot) de
Room: 1221
Links:
Curriculum Vitae
since 2021 PhD Student
Friedrich Schiller University of Jena and iDiv
Research topic: “Causal Reasoning and Deep Learning for Understanding Changes int the
Soil-Plant-Climate Interactions”
2018 – 2020 M.Sc. in Machine Learning & Data Analysis
ITMO University, St. Petersburg, Russia
Focus: Machine Learning
Master Thesis: “Transformer based action sequence generation in reinforcement learning settings”
2014 – 2018 B.A. in Philosophy and Economics
University Bayreuth
Bachelor Thesis: “Reinforcement learning and the provision of public goods”
Research Interests
  • Deep Learning
  • Causality
  • Interdisciplinarity
  • Language Generation
  • Reinforcement Learning
Publications
2024
Gideon Stein, Jonas Ziemer, Carolin Wicker, Jannik Jaenichen, Gabriele Demisch, Daniel Kloepper, Katja Last, Joachim Denzler, Christiane Schmullius, Maha Shadaydeh, Clémence Dubois:
Data-driven Prediction of Large Infrastructure Movements Through Persistent Scatterer Time Series Modeling.
IEEE International Geoscience and Remote Sensing Symposium (IGARSS). pp. 8669-8673. 2024.
[bibtex] [pdf] [doi] [abstract]
Gideon Stein, Maha Shadaydeh, Joachim Denzler:
Embracing the Black Box: Heading Towards Foundation Models for Causal Discovery from Time Series Data.
AAAI Workshop on AI for Time-series (AAAI-WS). 2024.
[bibtex] [pdf] [web] [abstract]
Gideon Stein, Sai Karthikeya Vemuri, Yuanyuan Huang, Anne Ebeling, Nico Eisenhauer, Maha Shadaydeh, Joachim Denzler:
Investigating the Effects of Plant Diversity on Soil Thermal Diffusivity Using Physics- Informed Neural Networks.
ICLR Workshop on AI4DifferentialEquations In Science (ICLR-WS). 2024.
[bibtex] [pdf] [web]
Niklas Penzel, Gideon Stein, Joachim Denzler:
Change Penalized Tuning to Reduce Pre-trained Biases.
Communications in Computer and Information Science. 2024. (accepted)
[bibtex] [abstract]
Niklas Penzel, Gideon Stein, Joachim Denzler:
Reducing Bias in Pre-trained Models by Tuning while Penalizing Change.
International Conference on Computer Vision Theory and Applications (VISAPP). Pages 90-101. 2024.
[bibtex] [web] [doi] [abstract]
Tristan Piater, Niklas Penzel, Gideon Stein, Joachim Denzler:
Self-Attention for Medical Imaging - On the need for evaluations beyond mere benchmarking.
Communications in Computer and Information Science. 2024. (accepted)
[bibtex] [abstract]
Tristan Piater, Niklas Penzel, Gideon Stein, Joachim Denzler:
When Medical Imaging Met Self-Attention: A Love Story That Didn’t Quite Work Out.
International Conference on Computer Vision Theory and Applications (VISAPP). Pages 149-158. 2024.
[bibtex] [web] [doi] [abstract]
2023
Yuanyuan Huang, Gideon Stein, Olaf Kolle, Karl Kuebler, Ernst-Detlef Schulze, Hui Dong, David Eichenberg, Gerd Gleixner, Anke Hildebrandt, Markus Lange, Christiane Roscher, Holger Schielzeth, Bernhard Schmid, Alexandra Weigelt, Wolfgang W. Weisser, Maha Shadaydeh, Joachim Denzler, Anne Ebeling, Nico Eisenhauer:
Enhanced Stability of Grassland Soil Temperature by Plant Diversity.
Nature Geoscience. pp. 1-7. 2023.
[bibtex] [doi] [abstract]
Yuanyuan Huang, Gideon Stein, Olaf Kolle, Karl Kuebler, Ernst-Detlef Schulze, Hui Dong, David Eichenberg, Gerd Gleixner, Anke Hildebrandt, Markus Lange, Christiane Roscher, Holger Schielzeth, Bernhard Schmid, Alexandra Weigelt, Wolfgang W. Weisser, Maha Shadaydeh, Joachim Denzler, Anne Ebeling, Nico Eisenhauer:
Plant Diversity Stabilizes Soil Temperature.
bioRxiv. pp. 2023-03. 2023.
[bibtex] [pdf]
2022
Clemence Dubois, Jannik Jänichen, Maha Shadaydeh, Gideon Stein, Alexandra Katz, Daniel Klöpper, Joachim Denzler, Christiane Schmullius, Katja Last:
KI4KI: Neues Projekt zur regelmässigen Überwachung von Stauanlagen aus dem All.
Messtechnische Überwachung von Stauanlagen ; XII.Mittweidaer Talsperrentag. Pages 15-19. 2022.
[bibtex] [web] [doi] [abstract]
Sven Festag, Gideon Stein, Tim Büchner, Maha Shadaydeh, Joachim Denzler, Cord Spreckelsen:
Outcome Prediction and Murmur Detection in Sets of Phonocardiograms by a Deep Learning-Based Ensemble Approach.
Computing in Cardiology (CinC). Pages 1-4. 2022.
[bibtex] [pdf] [doi] [abstract]
2020
Arip Asadulaev, Igor Kuznetsov, Gideon Stein, Andrey Filchenkov:
Exploring and Exploiting Conditioning of Reinforcement Learning Agents.
IEEE Access. 8 : pp. 211951-211960. 2020.
[bibtex] [abstract]
Gideon Stein, Andrey Filchenkov, Arip Asadulaev:
Stabilizing Transformer-Based Action Sequence Generation For Q-Learning.
arXiv preprint 2010.12698. 2020.
[bibtex] [pdf] [abstract]