Günter Klambauer

15 papers · 2017–2025 · 3 conferences · across top CS/AI conferences

Achievements

+8 more ↓

🌍 Conference Polyglot (3) 🏃 Academic Marathon (8) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (13)

🗺️ Taxonomy Completionist (23) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 👑 Triple Crown 🤝 Dynamic Duo (13) 🚀 Conference Pioneer 🔥 Unstoppable (9) 💎 Century Club (15)

Conferences

NIPS (6) ICLR (5) ICML (4)

Top co-authors

Sepp Hochreiter (13) Johannes Brandstetter (5) Philipp Seidl (4) Hubert Ramsauer (4) Maximilian Beck (3) Korbinian Pöppel (3) Michael Widrich (3) Andreas Mayr (2) Victor Greiff (2) Thomas Unterthiner (2)

Keywords

hopfield network (2) contrastive learning (2) zero-shot learning (1) bayesian inference (1) uncertainty quantification (1) epistemic uncertainty (1) batch normalization (1) state space model (1) multi-modal learning (1) deep learning (1) neural network optimization (1) posterior distribution (1) multiple instance learning (1) signal propagation (1) attention mechanism (1) few-shot learning (1) long short-term memory (1) weight initialization (1) language model (1) transformer architecture (1)

Papers

A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks ICML 2025 Bio-xLSTM: Generative modeling, representation and in-context learning of biological and chemical sequences ICLR 2025 xLSTM 7B: A Recurrent LLM for Fast and Efficient Inference ICML 2025 Incorporating probabilistic domain knowledge into deep multiple instance learning ICML 2024 xLSTM: Extended Long Short-Term Memory NIPS 2024 Principled Weight Initialisation for Input-Convex Neural Networks NIPS 2023 Quantification of Uncertainty with Adversarial Models NIPS 2023 Enhancing Activity Prediction Models in Drug Discovery with the Ability to Understand Human Language ICML 2023 Context-enriched molecule representations improve few-shot drug discovery ICLR 2023 CLOOB: Modern Hopfield Networks with InfoLOOB Outperform CLIP NIPS 2022 Hopfield Networks is All You Need ICLR 2021 Modern Hopfield Networks and Attention for Immune Repertoire Classification NIPS 2020 Human-level Protein Localization with Convolutional Neural Networks ICLR 2019 Coulomb GANs: Provably Optimal Nash Equilibria via Potential Fields ICLR 2018 Self-Normalizing Neural Networks NIPS 2017