PPaperPicks

Sepp Hochreiter

Johannes Kepler University of Linz, Austria

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

Venues

Frequent coauthors

Korbinian Pöppel
×7
Maximilian Beck
×6
Johannes Brandstetter
×6
Günter Klambauer
×5
Sebastian Sanokowski
×4
Benedikt Alkin
×4
Thomas Schmied
×3
Kajetan Schweighofer
×3
Sebastian Lehner
×3
Wei Lin
×2
Lukas Aichberger
×2
Mykyta Ielanskyi
×2

Papers

  1. A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks
    ICML 2025 ·
    Thomas Schmied
    ,
    Thomas Adler
    ,
    Vihang Prakash Patil
    ,
    Maximilian Beck
    ,
    Korbinian Pöppel
    ,
    Johannes Brandstetter
    ,
    Günter Klambauer
    ,
    Razvan Pascanu
    , Sepp Hochreiter
  2. Bio-xLSTM: Generative modeling, representation and in-context learning of biological and chemical sequences
    ICLR 2025 ·
    Niklas Schmidinger
    ,
    Lisa Schneckenreiter
    ,
    Philipp Seidl
    ,
    Johannes Schimunek
    ,
    Pieter-Jan Hoedt
    ,
    Johannes Brandstetter
    ,
    Andreas Mayr
    ,
    Sohvi Luukkonen
    , Sepp Hochreiter,
    Günter Klambauer
  3. Comparison Visual Instruction Tuning
    CVPR 2025 ·
    Wei Lin
    ,
    Muhammad Jehanzeb Mirza
    ,
    Sivan Doveh
    ,
    Rogério Feris
    ,
    Raja Giryes
    , Sepp Hochreiter,
    Leonid Karlinsky
  4. FlashRNN: I/O-Aware Optimization of Traditional RNNs on modern hardware
    ICLR 2025 ·
    Korbinian Pöppel
    ,
    Maximilian Beck
    , Sepp Hochreiter
  5. Geometry-Informed Neural Networks
    ICML 2025 ·
    Arturs Berzins
    ,
    Andreas Radler
    ,
    Eric Volkmann
    ,
    Sebastian Sanokowski
    , Sepp Hochreiter,
    Johannes Brandstetter
  6. Improving Uncertainty Estimation through Semantically Diverse Language Generation
    ICLR 2025 ·
    Lukas Aichberger
    ,
    Kajetan Schweighofer
    ,
    Mykyta Ielanskyi
    , Sepp Hochreiter
  7. MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Masked Image Modeling Representations
    ICLR 2025 ·
    Benedikt Alkin
    ,
    Lukas Miklautz
    , Sepp Hochreiter,
    Johannes Brandstetter
  8. On Information-Theoretic Measures of Predictive Uncertainty
    UAI 2025 ·
    Kajetan Schweighofer
    ,
    Lukas Aichberger
    ,
    Mykyta Ielanskyi
    , Sepp Hochreiter
  9. Parameter Efficient Fine-tuning via Explained Variance Adaptation
    NeurIPS 2025 ·
    Fabian Paischer
    ,
    Lukas Hauzenberger
    ,
    Thomas Schmied
    ,
    Benedikt Alkin
    ,
    Marc Peter Deisenroth
    , Sepp Hochreiter
  10. Rethinking Losses for Diffusion Bridge Samplers
    NeurIPS 2025 ·
    Sebastian Sanokowski
    ,
    Lukas Gruber
    ,
    Christoph Bartmann
    , Sepp Hochreiter,
    Sebastian Lehner
  11. Scalable Discrete Diffusion Samplers: Combinatorial Optimization and Statistical Physics
    ICLR 2025 ·
    Sebastian Sanokowski
    ,
    Wilhelm Franz Berghammer
    ,
    Haoyu Peter Wang
    ,
    Martin Ennemoser
    , Sepp Hochreiter,
    Sebastian Lehner
  12. The Disparate Benefits of Deep Ensembles
    ICML 2025 ·
    Kajetan Schweighofer
    ,
    Adrián Arnaiz-Rodríguez
    , Sepp Hochreiter,
    Nuria Oliver
  13. TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning
    NeurIPS 2025 ·
    Andreas Auer
    ,
    Patrick Podest
    ,
    Daniel Klotz
    ,
    Sebastian Böck
    ,
    Günter Klambauer
    , Sepp Hochreiter
  14. Tiled Flash Linear Attention: More Efficient Linear RNN and xLSTM Kernels
    NeurIPS 2025 ·
    Maximilian Beck
    ,
    Korbinian Pöppel
    ,
    Phillip Lippe
    , Sepp Hochreiter
  15. Vision-LSTM: xLSTM as Generic Vision Backbone
    ICLR 2025 ·
    Benedikt Alkin
    ,
    Maximilian Beck
    ,
    Korbinian Pöppel
    , Sepp Hochreiter,
    Johannes Brandstetter
  16. pLSTM: parallelizable Linear Source Transition Mark networks
    NeurIPS 2025 ·
    Korbinian Pöppel
    ,
    Richard Freinschlag
    ,
    Thomas Schmied
    ,
    Wei Lin
    , Sepp Hochreiter
  17. xLSTM 7B: A Recurrent LLM for Fast and Efficient Inference
    ICML 2025 ·
    Maximilian Beck
    ,
    Korbinian Pöppel
    ,
    Phillip Lippe
    ,
    Richard Kurle
    ,
    Patrick M. Blies
    ,
    Günter Klambauer
    ,
    Sebastian Böck
    , Sepp Hochreiter
  18. A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization
    ICML 2024 ·
    Sebastian Sanokowski
    , Sepp Hochreiter,
    Sebastian Lehner
  19. Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget
    AAAI 2024 ·
    Johannes Lehner
    ,
    Benedikt Alkin
    ,
    Andreas Fürst
    ,
    Elisabeth Rumetshofer
    ,
    Lukas Miklautz
    , Sepp Hochreiter
  20. Energy-based Hopfield Boosting for Out-of-Distribution Detection
    NeurIPS 2024 ·
    Claus Hofmann
    ,
    Simon Schmid
    ,
    Bernhard Lehner
    ,
    Daniel Klotz
    , Sepp Hochreiter
  21. Overcoming Saturation in Density Ratio Estimation by Iterated Regularization
    ICML 2024 ·
    Lukas Gruber
    ,
    Markus Holzleitner
    ,
    Johannes Lehner
    , Sepp Hochreiter,
    Werner Zellinger
  22. xLSTM: Extended Long Short-Term Memory
    NeurIPS 2024 ·
    Maximilian Beck
    ,
    Korbinian Pöppel
    ,
    Markus Spanring
    ,
    Andreas Auer
    ,
    Oleksandra Prudnikova
    ,
    Michael Kopp
    ,
    Günter Klambauer
    ,
    Johannes Brandstetter
    , Sepp Hochreiter