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S. Hochreiter · SciRah

Researcher profile · Semantic Scholar

S. Hochreiter

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S. Hochreiter — researcher profile on SciRah

h-index: 63
Works: 345
Citations: 167K

Most-cited papers

xLSTM: Extended Long Short-Term Memory
Maximilian Beck, Korbinian Pöppel, M. Spanring, Andreas Auer +5 more
2024Neural Information Processing Systems721 citations
Semantic Scholar
TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning
Andreas Auer, Patrick Podest, Daniel Klotz, Sebastian Bock +2 more
2025Neural Information Processing Systems144 citations
Semantic Scholar
Vision-LSTM: xLSTM as Generic Vision Backbone
Benedikt Alkin, Maximilian Beck, Korbinian Poppel, S. Hochreiter +1 more
2024International Conference on Learning Representations117 citations
Semantic Scholar
xLSTM: Extended Long Short-Term Memory
Andreas Auer, Maximilian Beck, J. Brandstetter, S. Hochreiter +5 more
2024Advances in Neural Information Processing Systems 37106 citations Open access
Semantic Scholar
Improving Few- and Zero-Shot Reaction Template Prediction Using Modern Hopfield Networks
Philipp Seidl, Philipp Renz, N. Dyubankova, Paulo Neves +5 more
2022Journal of Chemical Information and Modeling97 citations Open access
Semantic Scholar
CLOOME: contrastive learning unlocks bioimaging databases for queries with chemical structures
Ana Sánchez-Fernández, Elisabeth Rumetshofer, S. Hochreiter, Günter Klambauer
2023bioRxiv84 citations Open access
Semantic Scholar
Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language
Philipp Seidl, Andreu Vall, S. Hochreiter, G. Klambauer
2023International Conference on Machine Learning81 citations Open access
Semantic Scholar
A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization
Sebastian Sanokowski, S. Hochreiter, Sebastian Lehner
2024International Conference on Machine Learning80 citations
Semantic Scholar
Conformal Prediction for Time Series with Modern Hopfield Networks
Andreas Auer, M. Gauch, D. Klotz, S. Hochreiter
2023Neural Information Processing Systems76 citations Open access
Semantic Scholar
Txt2Img-MHN: Remote Sensing Image Generation From Text Using Modern Hopfield Networks
Yonghao Xu, Wei-Kang Yu, Pedram Ghamisi, Michael K. Kopp +1 more
2022IEEE Transactions on Image Processing76 citations Open access
Semantic Scholar
Large Language Models Can Self-Improve At Web Agent Tasks
Ajay Patel, M. Hofmarcher, Claudiu Leoveanu-Condrei, Marius-Constantin Dinu +2 more
2024arXiv.org62 citations
Semantic Scholar
History Compression via Language Models in Reinforcement Learning
Fabian Paischer, Thomas Adler, Vihang Patil, Angela Bitto-Nemling +4 more
2022International Conference on Machine Learning54 citations Open access
Semantic Scholar
Unconstrained generation of synthetic antibody-antigen structures to guide machine learning methodology for antibody specificity prediction
Philippe A. Robert, R. Akbar, R. Frank, Milena Pavlović +21 more
2022Nature Computational Science52 citations Open access
Semantic Scholar
Boundary Graph Neural Networks for 3D Simulations
Andreas Mayr, S. Lehner, A. Mayrhofer, C. Kloss +2 more
2021AAAI Conference on Artificial Intelligence48 citations Open access
Semantic Scholar
Improving Uncertainty Estimation through Semantically Diverse Language Generation
Lukas Aichberger, Kajetan Schweighofer, Mykyta Ielanskyi, S. Hochreiter
2024International Conference on Learning Representations47 citations
Semantic Scholar
Context-enriched molecule representations improve few-shot drug discovery
Johannes Schimunek, Philipp Seidl, Lukas Friedrich, Daniel Kuhn +3 more
2023International Conference on Learning Representations42 citations Open access
Semantic Scholar
The Promise of AI for DILI Prediction
Andreu Vall, Y. Sabnis, Jiye Shi, R. Class +2 more
2021Frontiers in Artificial Intelligence41 citations Open access
Semantic Scholar
Quantification of Uncertainty with Adversarial Models
Kajetan Schweighofer, Lukas Aichberger, Mykyta Ielanskyi, G. Klambauer +1 more
2023Neural Information Processing Systems38 citations Open access
Semantic Scholar
Domain Shifts in Machine Learning Based Covid-19 Diagnosis From Blood Tests
T. Roland, Carl Böck, Thomas Tschoellitsch, Alexander Maletzky +3 more
2022Journal of medical systems38 citations Open access
Semantic Scholar
Learning to Modulate pre-trained Models in RL
Thomas Schmied, M. Hofmarcher, F. Paischer, Razvan Pascanu +1 more
2023Neural Information Processing Systems37 citations Open access
Semantic Scholar
In Defense of Metrics: Metrics Sufficiently Encode Typical Human Preferences Regarding Hydrological Model Performance
M. Gauch, Frederik Kratzert, Oren Gilon, H. Gupta +5 more
2023Water Resources Research36 citations Open access
Semantic Scholar
Scalable Discrete Diffusion Samplers: Combinatorial Optimization and Statistical Physics
Sebastian Sanokowski, Wilhelm Berghammer, Haoyu Wang, Martin Ennemoser +2 more
2025International Conference on Learning Representations33 citations
Semantic Scholar
Introducing an Improved Information-Theoretic Measure of Predictive Uncertainty
Kajetan Schweighofer, Lukas Aichberger, Mykyta Ielanskyi, S. Hochreiter
2023arXiv.org33 citations
Semantic Scholar
Hopular: Modern Hopfield Networks for Tabular Data
Bernhard Schafl, Lukas Gruber, Angela Bitto-Nemling, S. Hochreiter
2022arXiv.org33 citations Open access
Semantic Scholar
SymbolicAI: A framework for logic-based approaches combining generative models and solvers
Marius-Constantin Dinu, Claudiu Leoveanu-Condrei, Markus Holzleitner, Werner Zellinger +1 more
2024CoLLAs30 citations
Semantic Scholar
VN-EGNN: E(3)-Equivariant Graph Neural Networks with Virtual Nodes Enhance Protein Binding Site Identification
Florian Sestak, Lisa Schneckenreiter, J. Brandstetter, S. Hochreiter +2 more
2024arXiv.org30 citations
Semantic Scholar
Variational Annealing on Graphs for Combinatorial Optimization
Sebastian Sanokowski, Wilhelm Berghammer, S. Hochreiter, Sebastian Lehner
2023Neural Information Processing Systems30 citations
Semantic Scholar
Parameter Efficient Fine-tuning via Explained Variance Adaptation
Fabian Paischer, Lukas Hauzenberger, Thomas Schmied, Benedikt Alkin +2 more
2024Neural Information Processing Systems28 citations Open access
Semantic Scholar
Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget
Johannes Lehner, Benedikt Alkin, Andreas Furst, Elisabeth Rumetshofer +2 more
2023AAAI Conference on Artificial Intelligence28 citations Open access
Semantic Scholar
Bio-xLSTM: Generative modeling, representation and in-context learning of biological and chemical sequences
N. Schmidinger, Lisa Schneckenreiter, Philipp Seidl, Johannes Schimunek +6 more
2024International Conference on Learning Representations26 citations
Semantic Scholar
Proceedings of the Fifth Workshop on Computational Approaches to Linguistic Code-Switching
Kalika Bali, Pushpak Bhattacharyya, M. Fomicheva, Philipp Koehn +496 more
202126 citations Open access
Semantic Scholar
Traffic4cast at NeurIPS 2021 - Temporal and Spatial Few-Shot Transfer Learning in Gridded Geo-Spatial Processes
Christian Eichenberger, M. Neun, Henry Martin, Pedro Herruzo +33 more
2022Neural Information Processing Systems24 citations Open access
Semantic Scholar
Weather4cast at NeurIPS 2022: Super-Resolution Rain Movie Prediction under Spatio-temporal Shifts
A. Gruca, F. Serva, Llorenç Lliso, P. Rípodas +33 more
2021Neural Information Processing Systems24 citations
Semantic Scholar
Retrieval-Augmented Decision Transformer: External Memory for In-context RL
Thomas Schmied, F. Paischer, Vihang Patil, M. Hofmarcher +2 more
2024arXiv.org23 citations
Semantic Scholar
C ONTRASTIVE LEARNING OF IMAGE - AND STRUCTURE - BASED REPRESENTATIONS IN DRUG DISCOVERY
Ana Sánchez-Fernández, Elisabeth Rumetshofer, S. Hochreiter, G. Klambauer
202223 citations
Semantic Scholar
MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Representations
Benedikt Alkin, Lukas Miklautz, S. Hochreiter, J. Brandstetter
2024arXiv.org22 citations
Semantic Scholar
Using emergency department triage for machine learning-based admission and mortality prediction
Thomas Tschoellitsch, Philipp Seidl, Carl Böck, Alexander Maletzky +5 more
2023European journal of emergency medicine21 citations
Semantic Scholar
Semantic HELM: A Human-Readable Memory for Reinforcement Learning
F. Paischer, Thomas Adler, M. Hofmarcher, S. Hochreiter
2023Neural Information Processing Systems21 citations Open access
Semantic Scholar
Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation
Marius-Constantin Dinu, Markus Holzleitner, Maximilian H. Beck, Hoan Duc Nguyen +6 more
2023International Conference on Learning Representations20 citations Open access
Semantic Scholar
Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning
C. Steinparz, Thomas Schmied, Fabian Paischer, Marius-Constantin Dinu +4 more
2022CoLLAs20 citations Open access
Semantic Scholar
xLSTM 7B: A Recurrent LLM for Fast and Efficient Inference
Maximilian Beck, Korbinian Pöppel, Phillip Lippe, Richard Kurle +4 more
2025International Conference on Machine Learning19 citations
Semantic Scholar
HyperPCM: Robust Task-Conditioned Modeling of Drug–Target Interactions
Emma Svensson, Pieter-Jan Hoedt, S. Hochreiter, Günter Klambauer
2024Journal of Chemical Information and Modeling19 citations Open access
Semantic Scholar
Energy-based Hopfield Boosting for Out-of-Distribution Detection
Claus Hofmann, Simon Schmid, Bernhard Lehner, Daniel Klotz +1 more
2024Neural Information Processing Systems19 citations
Semantic Scholar
One Initialization to Rule them All: Fine-tuning via Explained Variance Adaptation
F. Paischer, Lukas Hauzenberger, Thomas Schmied, Benedikt Alkin +2 more
2024arXiv.org19 citations
Semantic Scholar
A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks
Thomas Schmied, Thomas Adler, Vihang Patil, Maximilian Beck +5 more
2024International Conference on Machine Learning19 citations
Semantic Scholar
Toward a broad AI
S. Hochreiter
2022Communications of the ACM19 citations Open access
Semantic Scholar
Lifting Hospital Electronic Health Record Data Treasures: Challenges and Opportunities
Alexander Maletzky, Carl Böck, Thomas Tschoellitsch, T. Roland +5 more
2022JMIR Medical Informatics19 citations Open access
Semantic Scholar
Tiled Flash Linear Attention: More Efficient Linear RNN and xLSTM Kernels
Maximilian Beck, Korbinian Pöppel, Phillip Lippe, S. Hochreiter
2025Neural Information Processing Systems18 citations
Semantic Scholar
Rethinking Uncertainty Estimation in LLMs: A Principled Single-Sequence Measure
Lukas Aichberger, Kajetan Schweighofer, S. Hochreiter
202418 citations
Semantic Scholar
On Information-Theoretic Measures of Predictive Uncertainty
Kajetan Schweighofer, Lukas Aichberger, Mykyta Ielanskyi, S. Hochreiter
2024Conference on Uncertainty in Artificial Intelligence17 citations
Semantic Scholar

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J. Brandstetter×8
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Maximilian Beck×6
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Thomas Schmied×6
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Kajetan Schweighofer×5

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