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)

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 (ICML, 2022)

WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models. - Benjamin Minixhofer; Fabian Paischer; Navid Rekabsaz (NAACL-HLT, 2022)

Semantic HELM: A Human-Readable Memory for Reinforcement Learning. - Fabian Paischer; Thomas Adler; Markus Hofmarcher; Sepp Hochreiter (NeurIPS, 2023)

Learning to Modulate pre-trained Models in RL. - Thomas Schmied; Markus Hofmarcher; Fabian Paischer; Razvan Pascanu; Sepp Hochreiter (NeurIPS, 2023)

Semantic HELM: An Interpretable Memory for Reinforcement Learning. - Fabian Paischer; Thomas Adler; Markus Hofmarcher; Sepp Hochreiter (CoRR, 2023)

SITTA: A Semantic Image-Text Alignment for Image Captioning. - Fabian Paischer; Thomas Adler; Markus Hofmarcher; Sepp Hochreiter (CoRR, 2023)

Retrieval-Augmented Decision Transformer: External Memory for In-context RL. - Thomas Schmied; Fabian Paischer; Vihang Patil; Markus Hofmarcher; Razvan Pascanu; Sepp Hochreiter (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)

Preference Discerning with LLM-Enhanced Generative Retrieval. - Fabian Paischer; Liu Yang 001; Linfeng Liu; Shuai Shao; Kaveh Hassani; Jiacheng Li; Ricky Chen; Zhang Gabriel Li; Xialo Gao; Wei Shao; Xue Feng; Nima Noorshams; et al. (CoRR, 2024)

Unifying Generative and Dense Retrieval for Sequential Recommendation. - Liu Yang 001; Fabian Paischer; Kaveh Hassani; Jiacheng Li; Shuai Shao; Zhang Gabriel Li; Yun He; Xue Feng; Nima Noorshams; Sem Park; Bo Long; Robert D. Nowak; et al. (Trans. Mach. Learn. Res., 2025)

Preference Discerning with LLM-Enhanced Generative Retrieval. - Fabian Paischer; Liu Yang 001; Linfeng Liu; Shuai Shao; Kaveh Hassani; Jiacheng Li; Ricky T. Q. Chen; Zhang Gabriel Li; Xiaoli Gao; Wei Shao; Xue Feng; Nima Noorshams; et al. (Trans. Mach. Learn. Res., 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, 2025)