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Sepp Hochreiter

Johannes Kepler University of Linz, Austria

22 papers at tracked venues · 21 at CORE A* · active 2024–2025

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Venues

NeurIPS ×7ICLR ×6ICML ×6AAAI ×1CVPR ×1UAI ×1

Frequent coauthors

Sebastian Sanokowski
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Maximilian Beck
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Korbinian Pöppel
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Benedikt Alkin
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Kajetan Schweighofer
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Thomas Schmied
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Niklas Schmidinger
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Wei Lin
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Arturs Berzins
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Lukas Aichberger
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Fabian Paischer
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Andreas Auer
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Papers

  1. A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks
    ICML 2025 ·
    Thomas Schmied
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  2. Bio-xLSTM: Generative modeling, representation and in-context learning of biological and chemical sequences
    ICLR 2025 ·
    Niklas Schmidinger
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  3. Comparison Visual Instruction Tuning
    CVPR 2025 ·
    Wei Lin
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  4. FlashRNN: I/O-Aware Optimization of Traditional RNNs on modern hardware
    ICLR 2025 ·
    Korbinian Pöppel
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  5. Geometry-Informed Neural Networks
    ICML 2025 ·
    Arturs Berzins
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  6. Improving Uncertainty Estimation through Semantically Diverse Language Generation
    ICLR 2025 ·
    Lukas Aichberger
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  7. MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Masked Image Modeling Representations
    ICLR 2025 ·
    Benedikt Alkin
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  8. On Information-Theoretic Measures of Predictive Uncertainty
    UAI 2025 ·
    Kajetan Schweighofer
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  9. Parameter Efficient Fine-tuning via Explained Variance Adaptation
    NeurIPS 2025 ·
    Fabian Paischer
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  10. Rethinking Losses for Diffusion Bridge Samplers
    NeurIPS 2025 ·
    Sebastian Sanokowski
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  11. Scalable Discrete Diffusion Samplers: Combinatorial Optimization and Statistical Physics
    ICLR 2025 ·
    Sebastian Sanokowski
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  12. The Disparate Benefits of Deep Ensembles
    ICML 2025 ·
    Kajetan Schweighofer
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  13. TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning
    NeurIPS 2025 ·
    Andreas Auer
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  14. Tiled Flash Linear Attention: More Efficient Linear RNN and xLSTM Kernels
    NeurIPS 2025 ·
    Maximilian Beck
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  15. Vision-LSTM: xLSTM as Generic Vision Backbone
    ICLR 2025 ·
    Benedikt Alkin
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  16. pLSTM: parallelizable Linear Source Transition Mark networks
    NeurIPS 2025 ·
    Korbinian Pöppel
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  17. xLSTM 7B: A Recurrent LLM for Fast and Efficient Inference
    ICML 2025 ·
    Maximilian Beck
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  18. A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization
    ICML 2024 ·
    Sebastian Sanokowski
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  19. Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget
    AAAI 2024 ·
    Johannes Lehner
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  20. Energy-based Hopfield Boosting for Out-of-Distribution Detection
    NeurIPS 2024 ·
    Claus Hofmann
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  21. Overcoming Saturation in Density Ratio Estimation by Iterated Regularization
    ICML 2024 ·
    Lukas Gruber
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  22. xLSTM: Extended Long Short-Term Memory
    NeurIPS 2024 ·
    Maximilian Beck
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