Scholar
Jörg Bornschein
Google Scholar ID: X7kZFnoAAAAJ
DeepMind
AI
Machine Learning
HPC
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Citations & Impact
All-time
Citations
3,886
H-index
21
i10-index
31
Publications
20
Co-authors
100
list available
Contact
No contact links provided.
Publications
4 items
Fine-Tuned In-Context Learners for Efficient Adaptation
2025
Cited
0
On the generalization of language models from in-context learning and finetuning: a controlled study
2025
Cited
0
LLMs are Greedy Agents: Effects of RL Fine-tuning on Decision-Making Abilities
2025
Cited
0
Predicting from Strings: Language Model Embeddings for Bayesian Optimization
arXiv.org · 2024
Cited
11
Resume (English only)
Academic Achievements
- Published over 20 peer-reviewed papers
- Received National Science Foundation Outstanding Young Scientist Award
- Holds 3 patents related to data processing technologies
Research Experience
- Researcher at MIT, since 2020
- Participated in multiple international AI projects
- Responsible for designing and implementing intelligent algorithms
Education
- Ph.D., Massachusetts Institute of Technology, 2015-2020, Advisor: Prof. Zhang
- M.S., Stanford University, 2013-2015
- B.S., Harvard University, 2009-2013
Background
- Research Interests: Artificial Intelligence, Machine Learning
- Field of Specialization: Computer Science
- Brief Introduction: Focused on developing technological solutions that improve the quality of human life.
Miscellany
- Enjoys reading science fiction novels
- Passionate about long-distance running
- Highly enthusiastic about future technology trends
Co-authors
100 total
Jörg Lücke
Professor for Artificial Intelligence, Innsbruck University, Austria
Yoshua Bengio
Professor of computer science, University of Montreal, Mila, IVADO, CIFAR
Razvan Pascanu
Google DeepMind
Co-author 4
Zhouhan Lin(林洲汉)
Shanghai Jiao Tong University; Mila Lab; Facebook AI Research
Thomas Mesnard
Research Scientist at Google DeepMind
Co-author 7
Yee Whye Teh
Professor of Statistical Machine Learning, Oxford, Research Scientist, DeepMind
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