Paischer, Fabian

15 publications

ICLRW 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

NeurIPS 2025 GyroSwin: 5d Surrogates for Gyrokinetic Plasma Turbulence Simulations Fabian Paischer, Gianluca Galletti, William Hornsby, Paul Setinek, Lorenzo Zanisi, Naomi Carey, Stanislas Pamela, Johannes Brandstetter

NeurIPS 2025 Parameter Efficient Fine-Tuning via Explained Variance Adaptation Fabian Paischer, Lukas Hauzenberger, Thomas Schmied, Benedikt Alkin, Marc Peter Deisenroth, Sepp Hochreiter

TMLR 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

TMLR 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

NeurIPSW 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

NeurIPSW 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

NeurIPS 2023 Learning to Modulate Pre-Trained Models in RL Thomas Schmied, Markus Hofmarcher, Fabian Paischer, Razvan Pascanu, Sepp Hochreiter

ICLRW 2023 Learning to Modulate Pre-Trained Models in RL Thomas Schmied, Markus Hofmarcher, Fabian Paischer, Razvan Pascanu, Sepp Hochreiter

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

NeurIPSW 2022 Foundation Models for History Compression in Reinforcement Learning Fabian Paischer, Thomas Adler, Andreas Radler, Markus Hofmarcher, Sepp Hochreiter

NeurIPSW 2022 Foundation Models for History Compression in Reinforcement Learning Fabian Paischer, Thomas Adler, Andreas Radler, Markus Hofmarcher, Sepp Hochreiter

ICML 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

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

NeurIPSW 2022 Toward Semantic History Compression for Reinforcement Learning Fabian Paischer, Thomas Adler, Andreas Radler, Markus Hofmarcher, Sepp Hochreiter