Jacobian Policy Optimizations. - Arip Asadulaev; Gideon Stein; Igor Kuznetsov; Andrey Filchenkov (CoRR, 2019)

Transgenerators. - Arip Asadulaev; Gideon Stein; Andrey Filchenkov (ACAI, 2020)

Exploring and Exploiting Conditioning of Reinforcement Learning Agents. - Arip Asadulaev; Igor Kuznetsov; Gideon Stein; Andrey Filchenkov (IEEE Access, 2020)

Stabilizing Transformer-Based Action Sequence Generation For Q-Learning. - Gideon Stein; Andrey Filchenkov; Arip Asadulaev (CoRR, 2020)

Outcome Prediction and Murmur Detection in Sets of Phonocardiograms by a Deep Learning-Based Ensemble Approach. - Sven Festag; Gideon Stein; Tim Büchner; Maha Shadaydeh; Joachim Denzler; Cord Spreckelsen (CinC, 2022)

Data-Driven Prediction Of Large Infrastructure Movements Through Persistent Scatterer Time Series Modeling. - Gideon Stein; Jonas Ziemer; Carolin Wicker; Jannik Jänichen; Gabriele Demisch; Daniel Klöpper; Katja Last; Joachim Denzler; Christiane Schmullius; Maha Shadaydeh; Clémence Dubois (IGARSS, 2024)

Reducing Bias in Pre-Trained Models by Tuning While Penalizing Change. - Niklas Penzel; Gideon Stein; Joachim Denzler (VISIGRAPP (2): VISAPP, 2024)

When Medical Imaging Met Self-Attention: A Love Story That Didn't Quite Work out. - Tristan Piater; Niklas Penzel; Gideon Stein; Joachim Denzler (VISIGRAPP (2): VISAPP, 2024)

Embracing the black box: Heading towards foundation models for causal discovery from time series data. - Gideon Stein; Maha Shadaydeh; Joachim Denzler (CoRR, 2024)

CausalRivers - Scaling up benchmarking of causal discovery for real-world time-series. - Gideon Stein; Maha Shadaydeh; Jan Blunk; Niklas Penzel; Joachim Denzler (ICLR, 2025)