Marius-Constantin Dinu

16 papers A* 3Journal 9Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	HyDRA: A Hybrid-Driven Reasoning Architecture for Verifiable Knowledge Graphs. CoRR Adrian Kaiser, Claudiu Leoveanu-Condrei, Ryan Gold, Marius-Constantin Dinu, Markus Hofmarcher
2025	J	`jnl`	Primality Testing via Circulant Matrix Eigenvalue Structure: A Novel Approach Using Cyclotomic Field Theory. CoRR Marius-Constantin Dinu
2024	J	`jnl`	Large Language Models Can Self-Improve At Web Agent Tasks. CoRR Ajay Patel, Markus Hofmarcher, Claudiu Leoveanu-Condrei, Marius-Constantin Dinu, Chris Callison-Burch, Sepp Hochreiter
2024	J	`jnl`	Parameter Choice and Neuro-Symbolic Approaches for Deep Domain-Invariant Learning. CoRR Marius-Constantin Dinu
2024	—	`conf`	SymbolicAI: A framework for logic-based approaches combining generative models and solvers. CoLLAs Marius-Constantin Dinu, Claudiu Leoveanu-Condrei, Markus Holzleitner, Werner Zellinger, Sepp Hochreiter
2024	J	`jnl`	SymbolicAI: A framework for logic-based approaches combining generative models and solvers. CoRR Marius-Constantin Dinu, Claudiu Leoveanu-Condrei, Markus Holzleitner, Werner Zellinger, Sepp Hochreiter
2023	A*	`conf`	Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation. ICLR 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
2023	J	`jnl`	Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation. CoRR 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
2022	—	`conf`	A Dataset Perspective on Offline Reinforcement Learning. CoLLAs Kajetan Schweighofer, Marius-Constantin Dinu, Andreas Radler, Markus Hofmarcher, Vihang Prakash Patil, Angela Bitto-Nemling, Hamid Eghbal-zadeh, Sepp Hochreiter
2022	A*	`conf`	Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution. ICML Vihang Patil, Markus Hofmarcher, Marius-Constantin Dinu, Matthias Dorfer, Patrick M. Blies, Johannes Brandstetter, José Antonio Arjona-Medina, Sepp Hochreiter
2022	—	`conf`	Reactive Exploration to Cope With Non-Stationarity in Lifelong Reinforcement Learning. CoLLAs Christian Alexander Steinparz, Thomas Schmied, Fabian Paischer, Marius-Constantin Dinu, Vihang Prakash Patil, Angela Bitto-Nemling, Hamid Eghbal-zadeh, Sepp Hochreiter
2022	J	`jnl`	Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning. CoRR Christian Alexander Steinparz, Thomas Schmied, Fabian Paischer, Marius-Constantin Dinu, Vihang Patil, Angela Bitto-Nemling, Hamid Eghbal-zadeh, Sepp Hochreiter
2021	A*	`conf`	The balancing principle for parameter choice in distance-regularized domain adaptation. NeurIPS Werner Zellinger, Natalia Shepeleva, Marius-Constantin Dinu, Hamid Eghbal-zadeh, Hoan Duc Nguyen, Bernhard Nessler, Sergei V. Pereverzyev, Bernhard Alois Moser
2021	J	`jnl`	Understanding the Effects of Dataset Characteristics on Offline Reinforcement Learning. CoRR Kajetan Schweighofer, Markus Hofmarcher, Marius-Constantin Dinu, Philipp Renz, Angela Bitto-Nemling, Vihang Patil, Sepp Hochreiter
2020	J	`jnl`	Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution. CoRR Vihang Prakash Patil, Markus Hofmarcher, Marius-Constantin Dinu, Matthias Dorfer, Patrick M. Blies, Johannes Brandstetter, Jose A. Arjona-Medina, Sepp Hochreiter
2020	—	`conf`	XAI and Strategy Extraction via Reward Redistribution. xxAI@ICML Marius-Constantin Dinu, Markus Hofmarcher, Vihang Prakash Patil, Matthias Dorfer, Patrick M. Blies, Johannes Brandstetter, Jose A. Arjona-Medina, Sepp Hochreiter