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chs20

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chs20
·3 か月前·議論
Yes, surely. Just using this as another channel, often the most interesting opportunities are rather hidden.
chs20
·3 か月前·議論
Location: Tübingen, Germany

Remote: Yes

Willing to relocate: Yes (Europe/UK; open to exceptional opportunities elsewhere)

Technologies: Python, PyTorch, NumPy, transformers, multimodal ML, LLMs/VLMs, adversarial robustness, AI security, red-teaming, research

Résumé/CV: https://chs20.github.io

Email: [email protected]

PhD researcher in ML at the University of Tübingen seeking Research Scientist / Research Engineer roles. I work on robust and secure machine learning, with a focus on multimodal models, adversarial attacks and defenses, and AI safety. Publications include ICML and NeurIPS; I also have hands-on experience red-teaming frontier AI systems. Open to AI security, multimodal/generative ML, and strong research-oriented ML roles more broadly.
chs20
·2 年前·議論
Transformer / attention block is missing
chs20
·2 年前·議論
In my experience, papers published in these "special issues" don't really get any attention.
chs20
·3 年前·議論
Simulating cross-wind landings doesn't sound that hard, why do you think current sims don't do it well?
chs20
·3 年前·議論
Seems like Microsoft is getting the rest of OpenAI for free now.
chs20
·3 年前·議論
Why does he need to subsample? Seems like it should be feasible to find the minimum of a 6M array
chs20
·3 年前·議論
Will be interesting to see if they have taken any precaution in terms of adversarial robustness in particular to vision input.
chs20
·3 年前·議論
From which database are the papers that it searches?
chs20
·3 年前·議論
What is the motivation for lambda calculus?