Fabian Paischer

According to our database, Fabian Paischer authored at least 13 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

5D Neural Surrogates for Nonlinear Gyrokinetic Simulations of Plasma Turbulence.

Gianluca Galletti, Fabian Paischer, Paul Setinek, William Hornsby, Lorenzo Zanisi, Naomi Carey, Stanislas Pamela, Johannes Brandstetter

CoRR, February, 2025

Preference Discerning with LLM-Enhanced Generative Retrieval.

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

Trans. Mach. Learn. Res., 2025

Unifying Generative and Dense Retrieval for Sequential Recommendation.

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

Trans. Mach. Learn. Res., 2025

2024

Preference Discerning with LLM-Enhanced Generative Retrieval.

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

CoRR, 2024

One Initialization to Rule them All: Fine-tuning via Explained Variance Adaptation.

Fabian Paischer, Lukas Hauzenberger, Thomas Schmied, Benedikt Alkin, Marc Peter Deisenroth, Sepp Hochreiter

CoRR, 2024

Retrieval-Augmented Decision Transformer: External Memory for In-context RL.

Thomas Schmied, Fabian Paischer, Vihang Patil, Markus Hofmarcher, Razvan Pascanu, Sepp Hochreiter

CoRR, 2024

2023

SITTA: A Semantic Image-Text Alignment for Image Captioning.

Fabian Paischer, Thomas Adler, Markus Hofmarcher, Sepp Hochreiter

CoRR, 2023

Semantic HELM: An Interpretable Memory for Reinforcement Learning.

Fabian Paischer, Thomas Adler, Markus Hofmarcher, Sepp Hochreiter

CoRR, 2023

Learning to Modulate pre-trained Models in RL.

Thomas Schmied, Markus Hofmarcher, Fabian Paischer, Razvan Pascanu, Sepp Hochreiter

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Semantic HELM: A Human-Readable Memory for Reinforcement Learning.

Fabian Paischer, Thomas Adler, Markus Hofmarcher, Sepp Hochreiter

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models.

Benjamin Minixhofer, Fabian Paischer, Navid Rekabsaz

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

History Compression via Language Models in Reinforcement Learning.

Fabian Paischer, Thomas Adler, Vihang Patil, Angela Bitto-Nemling, Markus Holzleitner, Sebastian Lehner, Hamid Eghbal-Zadeh, Sepp Hochreiter

Proceedings of the International Conference on Machine Learning, 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

Proceedings of the Conference on Lifelong Learning Agents, 2022