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Sepp Hochreiter

38 papers · 2015–2025 · 5 conferences · across top CS/AI conferences

Achievements

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+14 more ↓ 🌍 Conference Polyglot (5) πŸƒ Academic Marathon (10) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (6)
🐝 Cross-Pollinator (6) 🌈 Renaissance Researcher (9) πŸ—ΊοΈ Taxonomy Completionist (55) 🧬 Topic Evolution 🀝 Dynamic Duo (13) πŸ† Keyword Champion (4) πŸ‘‘ Triple Crown πŸ† Grand Slam ⚑ Prolific Year (9) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (103) πŸ”₯ Unstoppable (9) πŸ“ˆ Trend Setter πŸ’Ž Century Club (38)

Conferences

NIPS (13) ICLR (11) ICML (11) AAAI (2) UAI (1)

Top co-authors

GΓΌnter Klambauer (13) Johannes Brandstetter (11) Markus Holzleitner (6) Thomas Unterthiner (6) Maximilian Beck (6) Hubert Ramsauer (5) Korbinian PΓΆppel (5) Sebastian Lehner (5) Andreas Mayr (4) Markus Hofmarcher (4)

Keywords

hopfield network (4) reinforcement learning (3) contrastive learning (3) uncertainty quantification (2) language model (2) image generation (2) representation learning (2) delayed reward (2) graph neural network (2) neural network (2) long short-term memory (2) few-shot learning (2) reward redistribution (2) generative adversarial network (2) conformal prediction (1) vision transformer (1) unsupervised learning (1) temporal difference learning (1) sparse coding (1) zero-shot learning (1)

Papers

Vision-LSTM: xLSTM as Generic Vision Backbone ICLR 2025 The Disparate Benefits of Deep Ensembles ICML 2025 On Information-Theoretic Measures of Predictive Uncertainty UAI 2025 MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained Masked Image Modeling Representations ICLR 2025 Improving Uncertainty Estimation through Semantically Diverse Language Generation ICLR 2025 Bio-xLSTM: Generative modeling, representation and in-context learning of biological and chemical sequences ICLR 2025 FlashRNN: I/O-Aware Optimization of Traditional RNNs on modern hardware ICLR 2025 Scalable Discrete Diffusion Samplers: Combinatorial Optimization and Statistical Physics ICLR 2025 A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks ICML 2025 Geometry-Informed Neural Networks ICML 2025 xLSTM 7B: A Recurrent LLM for Fast and Efficient Inference ICML 2025 A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization ICML 2024 xLSTM: Extended Long Short-Term Memory NIPS 2024 Energy-based Hopfield Boosting for Out-of-Distribution Detection NIPS 2024 Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget AAAI 2024 Overcoming Saturation in Density Ratio Estimation by Iterated Regularization ICML 2024 Addressing Parameter Choice Issues in Unsupervised Domain Adaptation by Aggregation ICLR 2023 Semantic HELM: A Human-Readable Memory for Reinforcement Learning NIPS 2023 Quantification of Uncertainty with Adversarial Models NIPS 2023 Learning to Modulate pre-trained Models in RL NIPS 2023 Conformal Prediction for Time Series with Modern Hopfield Networks NIPS 2023 Variational Annealing on Graphs for Combinatorial Optimization NIPS 2023 Boundary Graph Neural Networks for 3D Simulations AAAI 2023 Context-enriched molecule representations improve few-shot drug discovery ICLR 2023 Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language ICML 2023 History Compression via Language Models in Reinforcement Learning ICML 2022 Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution ICML 2022 CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP NIPS 2022 Hopfield Networks is All You Need ICLR 2021 MC-LSTM: Mass-Conserving LSTM ICML 2021 Modern Hopfield Networks and Attention for Immune Repertoire Classification NIPS 2020 Human-level Protein Localization with Convolutional Neural Networks ICLR 2019 RUDDER: Return Decomposition for Delayed Rewards NIPS 2019 First Order Generative Adversarial Networks ICML 2018 Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields ICLR 2018 Self-Normalizing Neural Networks NIPS 2017 GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium NIPS 2017 Rectified Factor Networks NIPS 2015