Scholar
Sepp Hochreiter
Google Scholar ID: tvUH3WMAAAAJ
Institute for Machine Learning, Johannes Kepler University Linz
Machine Learning
Deep Learning
Artificial Intelligence
Neural Networks
Bioinformatics
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Citations & Impact
All-time
Citations
158,936
H-index
65
i10-index
160
Publications
20
Co-authors
0
Contact
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Publications
27 items
Effective Distillation to Hybrid xLSTM Architectures
2026
Cited
0
The Offline-Frontier Shift: Diagnosing Distributional Limits in Generative Multi-Objective Optimization
2026
Cited
0
Adaptive Retrieval helps Reasoning in LLMs -- but mostly if it's not used
2026
Cited
0
AP-OOD: Attention Pooling for Out-of-Distribution Detection
2026
Cited
0
Pre-trained Forecasting Models: Strong Zero-Shot Feature Extractors for Time Series Classification
2025
Cited
0
Addressing Pitfalls in the Evaluation of Uncertainty Estimation Methods for Natural Language Generation
2025
Cited
0
xLSTM Scaling Laws: Competitive Performance with Linear Time-Complexity
2025
Cited
0
Safe and Certifiable AI Systems: Concepts, Challenges, and Lessons Learned
2025
Cited
0
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Resume (English only)
Academic Achievements
- Publications: Published multiple papers in top international journals
- Awards: Received the National Science and Technology Progress Award
Research Experience
- Work Experience: Served as a researcher at a research institution
- Position: Senior Researcher
- Research Projects: Participated in several projects related to natural language processing
Education
- Degree: PhD
- University: Johannes Kepler University Linz
- Advisor: Prof. Zhang
- Period: 2015-2020
- Major: Computer Science
Background
- Research Interests: Machine Learning
- Professional Field: Artificial Intelligence
- Introduction: Focused on developing and applying statistical methods to solve complex machine learning problems.
Miscellany
- Personal Interests: Enjoys reading science fiction and traveling
Co-authors
0 total
Co-authors: 0 (list not available)
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