Fabian Paischer

21 papers A* 3Journal 16Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	From Circuits to Dynamics: Understanding and Stabilizing Failure in 3D Diffusion Transformers. CoRR Maximilian Plattner, Fabian Paischer, Johannes Brandstetter, Arturs Berzins
2025	J	`jnl`	5D Neural Surrogates for Nonlinear Gyrokinetic Simulations of Plasma Turbulence. CoRR Gianluca Galletti, Fabian Paischer, Paul Setinek, William Hornsby, Lorenzo Zanisi, Naomi Carey, Stanislas Pamela, Johannes Brandstetter
2025	J	`jnl`	Going with the Speed of Sound: Pushing Neural Surrogates into Highly-turbulent Transonic Regimes. CoRR Fabian Paischer, Léo Cotteleer, Yann Dreze, Richard Kurle, Dylan Rubini, Maurits Bleeker, Tobias Kronlachner, Johannes Brandstetter
2025	J	`jnl`	GyroSwin: 5D Surrogates for Gyrokinetic Plasma Turbulence Simulations. CoRR Fabian Paischer, Gianluca Galletti, William Hornsby, Paul Setinek, Lorenzo Zanisi, Naomi Carey, Stanislas Pamela, Johannes Brandstetter
2025	J	`jnl`	Preference Discerning with LLM-Enhanced Generative Retrieval. Trans. Mach. Learn. Res. Fabian Paischer, Liu Yang, Linfeng Liu, Shuai Shao, Kaveh Hassani, Jiacheng Li, Ricky T. Q. Chen, Zhang Gabriel Li, Xiaoli Gao, Wei Shao, Xue Feng, Nima Noorshams, Sem Park, Bo Long, Hamid Eghbalzadeh
2025	J	`jnl`	Unifying Generative and Dense Retrieval for Sequential Recommendation. Trans. Mach. Learn. Res. Liu Yang, Fabian Paischer, Kaveh Hassani, Jiacheng Li, Shuai Shao, Zhang Gabriel Li, Yun He, Xue Feng, Nima Noorshams, Sem Park, Bo Long, Robert D. Nowak, Xiaoli Gao, Hamid Eghbalzadeh
2024	J	`jnl`	One Initialization to Rule them All: Fine-tuning via Explained Variance Adaptation. CoRR Fabian Paischer, Lukas Hauzenberger, Thomas Schmied, Benedikt Alkin, Marc Peter Deisenroth, Sepp Hochreiter
2024	J	`jnl`	Preference Discerning with LLM-Enhanced Generative Retrieval. CoRR Fabian Paischer, Liu Yang, Linfeng Liu, Shuai Shao, Kaveh Hassani, Jiacheng Li, Ricky Chen, Zhang Gabriel Li, Xialo Gao, Wei Shao, Xue Feng, Nima Noorshams, Sem Park, Bo Long, Hamid Eghbalzadeh
2024	J	`jnl`	Retrieval-Augmented Decision Transformer: External Memory for In-context RL. CoRR Thomas Schmied, Fabian Paischer, Vihang Patil, Markus Hofmarcher, Razvan Pascanu, Sepp Hochreiter
2024	J	`jnl`	Unifying Generative and Dense Retrieval for Sequential Recommendation. CoRR Liu Yang, Fabian Paischer, Kaveh Hassani, Jiacheng Li, Shuai Shao, Zhang Gabriel Li, Yun He, Xue Feng, Nima Noorshams, Sem Park, Bo Long, Robert D. Nowak, Xiaoli Gao, Hamid Eghbalzadeh
2023	A*	`conf`	Learning to Modulate pre-trained Models in RL. NeurIPS Thomas Schmied, Markus Hofmarcher, Fabian Paischer, Razvan Pascanu, Sepp Hochreiter
2023	J	`jnl`	Learning to Modulate pre-trained Models in RL. CoRR Thomas Schmied, Markus Hofmarcher, Fabian Paischer, Razvan Pascanu, Sepp Hochreiter
2023	J	`jnl`	SITTA: A Semantic Image-Text Alignment for Image Captioning. CoRR Fabian Paischer, Thomas Adler, Markus Hofmarcher, Sepp Hochreiter
2023	A*	`conf`	Semantic HELM: A Human-Readable Memory for Reinforcement Learning. NeurIPS Fabian Paischer, Thomas Adler, Markus Hofmarcher, Sepp Hochreiter
2023	J	`jnl`	Semantic HELM: An Interpretable Memory for Reinforcement Learning. CoRR Fabian Paischer, Thomas Adler, Markus Hofmarcher, Sepp Hochreiter
2022	A*	`conf`	History Compression via Language Models in Reinforcement Learning. ICML Fabian Paischer, Thomas Adler, Vihang Patil, Angela Bitto-Nemling, Markus Holzleitner, Sebastian Lehner, Hamid Eghbal-zadeh, Sepp Hochreiter
2022	J	`jnl`	History Compression via Language Models in Reinforcement Learning. CoRR Fabian Paischer, Thomas Adler, Vihang Patil, Angela Bitto-Nemling, Markus Holzleitner, Sebastian Lehner, Hamid Eghbal-zadeh, 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
2022	—	`conf`	WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models. NAACL-HLT Benjamin Minixhofer, Fabian Paischer, Navid Rekabsaz
2021	J	`jnl`	WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models. CoRR Benjamin Minixhofer, Fabian Paischer, Navid Rekabsaz