XAI and Strategy Extraction via Reward Redistribution. - Marius-Constantin Dinu; Markus Hofmarcher; Vihang Prakash Patil; Matthias Dorfer; Patrick M. Blies; Johannes Brandstetter; Jose A. Arjona-Medina; Sepp Hochreiter (xxAI@ICML, 2020)

The balancing principle for parameter choice in distance-regularized domain adaptation. - Werner Zellinger; Natalia Shepeleva; Marius-Constantin Dinu; Hamid Eghbal-zadeh; Hoan Duc Nguyen; Bernhard Nessler; Sergei V. Pereverzyev; Bernhard Alois Moser (NeurIPS, 2021)

Understanding the Effects of Dataset Characteristics on Offline Reinforcement Learning. - Kajetan Schweighofer; Markus Hofmarcher; Marius-Constantin Dinu; Philipp Renz; Angela Bitto-Nemling; Vihang Patil; Sepp Hochreiter (CoRR, 2021)

A Dataset Perspective on Offline Reinforcement Learning. - Kajetan Schweighofer; Marius-Constantin Dinu; Andreas Radler; Markus Hofmarcher; Vihang Prakash Patil; Angela Bitto-Nemling; Hamid Eghbal-zadeh; Sepp Hochreiter (CoLLAs, 2022)

Reactive Exploration to Cope With Non-Stationarity in Lifelong Reinforcement Learning. - Christian Alexander Steinparz; Thomas Schmied; Fabian Paischer; Marius-Constantin Dinu; Vihang Prakash Patil; Angela Bitto-Nemling; Hamid Eghbal-zadeh; Sepp Hochreiter (CoLLAs, 2022)

Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution. - Vihang Patil; Markus Hofmarcher; Marius-Constantin Dinu; Matthias Dorfer; Patrick M. Blies; Johannes Brandstetter; José Antonio Arjona-Medina; Sepp Hochreiter (ICML, 2022)

Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation. - Marius-Constantin Dinu; Markus Holzleitner; Maximilian Beck; Hoan Duc Nguyen; Andrea Huber; Hamid Eghbal-zadeh; Bernhard Alois Moser; Sergei V. Pereverzyev; Sepp Hochreiter; Werner Zellinger (ICLR, 2023)

SymbolicAI: A framework for logic-based approaches combining generative models and solvers. - Marius-Constantin Dinu; Claudiu Leoveanu-Condrei; Markus Holzleitner; Werner Zellinger; Sepp Hochreiter (CoLLAs, 2024)

Large Language Models Can Self-Improve At Web Agent Tasks. - Ajay Patel; Markus Hofmarcher; Claudiu Leoveanu-Condrei; Marius-Constantin Dinu; Chris Callison-Burch; Sepp Hochreiter (CoRR, 2024)

Parameter Choice and Neuro-Symbolic Approaches for Deep Domain-Invariant Learning. - Marius-Constantin Dinu (CoRR, 2024)

Primality Testing via Circulant Matrix Eigenvalue Structure: A Novel Approach Using Cyclotomic Field Theory. - Marius-Constantin Dinu (CoRR, 2025)

HyDRA: A Hybrid-Driven Reasoning Architecture for Verifiable Knowledge Graphs. - Adrian Kaiser; Claudiu Leoveanu-Condrei; Ryan Gold; Marius-Constantin Dinu; Markus Hofmarcher (CoRR, 2025)