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chs20

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chs20
·3 mesi fa·discuss
Yes, surely. Just using this as another channel, often the most interesting opportunities are rather hidden.
chs20
·3 mesi fa·discuss
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 anni fa·discuss
Transformer / attention block is missing
chs20
·2 anni fa·discuss
In my experience, papers published in these "special issues" don't really get any attention.
chs20
·3 anni fa·discuss
Simulating cross-wind landings doesn't sound that hard, why do you think current sims don't do it well?
chs20
·3 anni fa·discuss
Seems like Microsoft is getting the rest of OpenAI for free now.
chs20
·3 anni fa·discuss
Why does he need to subsample? Seems like it should be feasible to find the minimum of a 6M array
chs20
·3 anni fa·discuss
Will be interesting to see if they have taken any precaution in terms of adversarial robustness in particular to vision input.
chs20
·3 anni fa·discuss
From which database are the papers that it searches?
chs20
·3 anni fa·discuss
What is the motivation for lambda calculus?
chs20
·3 anni fa·discuss
But only regional trains. To me the biggest advantage is not having to worry about what tickets to buy in foreign cities.
chs20
·3 anni fa·discuss
I'm pretty sure you can't reliably distinguish LLM text from real person text.