Sepp Hochreiter
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
37
Venues
10
Active years
1997–2025
Best venue rank
A*
Where they publish
Papers
37 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | Comparison Visual Instruction Tuning. | Wei Lin, Muhammad Jehanzeb Mirza, Sivan Doveh, Rogrio Feris, Raja Giryes, Sepp Hochreiter, Leonid Karlinsky |
| 2025 | ICLR | Improving Uncertainty Estimation through Semantically Diverse Language Generation. | Lukas Aichberger, Kajetan Schweighofer, Mykyta Ielanskyi, Sepp Hochreiter |
| 2025 | ICLR | Vision-LSTM: xLSTM as Generic Vision Backbone. | Benedikt Alkin, Maximilian Beck, Korbinian Pppel, Sepp Hochreiter, Johannes Brandstetter |
| 2025 | ICLR | MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Masked Image Modeling Representations. | Benedikt Alkin, Lukas Miklautz, Sepp Hochreiter, Johannes Brandstetter |
| 2025 | ICLR | FlashRNN: I/O-Aware Optimization of Traditional RNNs on modern hardware. | Korbinian Pppel, Maximilian Beck, Sepp Hochreiter |
| 2025 | ICLR | Scalable Discrete Diffusion Samplers: Combinatorial Optimization and Statistical Physics. | Sebastian Sanokowski, Wilhelm Franz Berghammer, Haoyu Peter Wang, Martin Ennemoser, Sepp Hochreiter, Sebastian Lehner |
| 2025 | ICLR | Bio-xLSTM: Generative modeling, representation and in-context learning of biological and chemical sequences. | Niklas Schmidinger, Lisa Schneckenreiter, Philipp Seidl, Johannes Schimunek, Pieter-Jan Hoedt, Johannes Brandstetter, Andreas Mayr, Sohvi Luukkonen, Sepp Hochreiter, Gnter Klambauer |
| 2025 | ICML | xLSTM 7B: A Recurrent LLM for Fast and Efficient Inference. | Maximilian Beck, Korbinian Pppel, Phillip Lippe, Richard Kurle, Patrick M. Blies, Gnter Klambauer, Sebastian Bck, Sepp Hochreiter |
| 2025 | ICML | Geometry-Informed Neural Networks. | Arturs Berzins, Andreas Radler, Eric Volkmann, Sebastian Sanokowski, Sepp Hochreiter, Johannes Brandstetter |
| 2025 | ICML | A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks. | Thomas Schmied, Thomas Adler, Vihang Prakash Patil, Maximilian Beck, Korbinian Pppel, Johannes Brandstetter, Gnter Klambauer, Razvan Pascanu, Sepp Hochreiter |
| 2025 | ICML | The Disparate Benefits of Deep Ensembles. | Kajetan Schweighofer, Adrin Arnaiz-Rodrguez, Sepp Hochreiter, Nuria Oliver |
| 2025 | UAI | On Information-Theoretic Measures of Predictive Uncertainty. | Kajetan Schweighofer, Lukas Aichberger, Mykyta Ielanskyi, Sepp Hochreiter |
| 2024 | AAAI | Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget. | Johannes Lehner, Benedikt Alkin, Andreas Frst, Elisabeth Rumetshofer, Lukas Miklautz, Sepp Hochreiter |
| 2024 | ICML | Overcoming Saturation in Density Ratio Estimation by Iterated Regularization. | Lukas Gruber, Markus Holzleitner, Johannes Lehner, Sepp Hochreiter, Werner Zellinger |
| 2024 | ICML | A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization. | Sebastian Sanokowski, Sepp Hochreiter, Sebastian Lehner |
| 2023 | AAAI | Boundary Graph Neural Networks for 3D Simulations. | Andreas Mayr, Sebastian Lehner, Arno Mayrhofer, Christoph Kloss, Sepp Hochreiter, Johannes Brandstetter |
| 2023 | ICLR | Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation. | Marius-Constantin Dinu, Markus Holzleitner, Maximilian Beck, Hoan Duc Nguyen, Andrea Huber, Hamid Eghbal-zadeh, Bernhard Alois Moser, Sergei V. Pereverzyev, Sepp Hochreiter, Werner Zellinger |
| 2023 | ICLR | Context-enriched molecule representations improve few-shot drug discovery. | Johannes Schimunek, Philipp Seidl, Lukas Friedrich, Daniel Kuhn, Friedrich Rippmann, Sepp Hochreiter, Gnter Klambauer |
| 2023 | ICML | Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language. | Philipp Seidl, Andreu Vall, Sepp Hochreiter, Gnter Klambauer |
| 2022 | ICML | 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 |
| 2022 | ICML | Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution. | Vihang Patil, Markus Hofmarcher, Marius-Constantin Dinu, Matthias Dorfer, Patrick M. Blies, Johannes Brandstetter, Jos Antonio Arjona-Medina, Sepp Hochreiter |
| 2021 | CIKM | CDCEO'21 - First Workshop on Complex Data Challenges in Earth Observation. | Aleksandra Gruca, Pedro Herruzo, Pilar Rpodas, Andrzej Kucik, Christian Briese, Michael K. Kopp, Sepp Hochreiter, Pedram Ghamisi, David P. Kreil |
| 2021 | ICLR | Hopfield Networks is All You Need. | Hubert Ramsauer, Bernhard Schfl, Johannes Lehner, Philipp Seidl, Michael Widrich, Lukas Gruber, Markus Holzleitner, Thomas Adler, David P. Kreil, Michael K. Kopp, Gnter Klambauer, Johannes Brandstetter, Sepp Hochreiter |
| 2021 | ICML | MC-LSTM: Mass-Conserving LSTM. | Pieter-Jan Hoedt, Frederik Kratzert, Daniel Klotz, Christina Halmich, Markus Holzleitner, Grey Nearing, Sepp Hochreiter, Gnter Klambauer |
| 2020 | ICML | XAI and Strategy Extraction via Reward Redistribution. | Marius-Constantin Dinu, Markus Hofmarcher, Vihang Prakash Patil, Matthias Dorfer, Patrick M. Blies, Johannes Brandstetter, Jose A. Arjona-Medina, Sepp Hochreiter |
| 2019 | ICLR | Human-level Protein Localization with Convolutional Neural Networks. | Elisabeth Rumetshofer, Markus Hofmarcher, Clemens Rhrl, Sepp Hochreiter, Gnter Klambauer |
| 2018 | ICLR | Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields. | Thomas Unterthiner, Bernhard Nessler, Calvin Seward, Gnter Klambauer, Martin Heusel, Hubert Ramsauer, Sepp Hochreiter |
| 2018 | ICML | First Order Generative Adversarial Networks. | Calvin Seward, Thomas Unterthiner, Urs Bergmann, Nikolay Jetchev, Sepp Hochreiter |
| 2009 | EUSFLAT | Modeling Position Specificity in Sequence Kernels by Fuzzy Equivalence Relations. | Ulrich Bodenhofer, Karin Schwarzbauer, Mihaela Ionescu, Sepp Hochreiter |
| 2007 | IJCNN | Optimality of LSTD and its Relation to MC. | Steffen Grnewlder, Sepp Hochreiter, Klaus Obermayer |
| 2006 | IJCNN | P-SVM Variable Selection for Discovering Dependencies Between Genetic and Brain Imaging Data. | Johannes Mohr, Imke Puls, Jana Wrase, Sepp Hochreiter, Andreas Heinz, Klaus Obermayer |
| 2005 | IJCNN | Optimal gradient-based learning using importance weights. | Sepp Hochreiter, Klaus Obermayer |
| 2005 | IJCNN | Optimal kernels for unsupervised learning. | Sepp Hochreiter, Klaus Obermayer |
| 2001 | ICANN | A Discrete Probabilistic Memory Model for Discovering Dependencies in Time. | Sepp Hochreiter, Michael Mozer |
| 2001 | ICANN | Learning to Learn Using Gradient Descent. | Sepp Hochreiter, A. Steven Younger, Peter R. Conwell |
| 1999 | ISCAS | Nonlinear ICA through low-complexity autoencoders. | Sepp Hochreiter, Jrgen Schmidhuber |
| 1997 | ICANN | Unsupervised Coding with LOCOCODE. | Sepp Hochreiter, Jrgen Schmidhuber |