Leonardo F. Toso takes a break from finishing a Ph.D. to share his research on the intersection of « control theory, machine learning, and optimization, with particular emphasis on meta-learning, federated learning, and adaptive control ».
There is a lot of math in adversarial machine learning, and we are grateful for his masterclass at #AIDays - dig into the award winning papers at https://leotoso.github.io/
Anastasiia Kucherenko discussing the challenges of traceable LLM Training Data, aka #ExplainableAI
They contributed to the awesome OlmoTrace tool from Ai2, which uses low perplexity scores to match output sequences #AIDays
The authors would have liked to use #Apertus instead of Gemma for the LLM-as-judge framework, but cited some incompatibilites at #AIDays that I will look into addressing.
IA4FriLex: Enhancing The Legislative Consultation Process With AI
Ornella Vaccarelli, Beat Wolf, Talia B. Kimber, Thomas Christin, Thomas Kadelbach
https://ai-days.swiss-ai-center.ch/en/papers/block-2
#EcoLogits featured in the morning presentation at #AIDays in Fribourg:
Why measuring AI environmental impact of organisations is non-trivial?
A paper by Loïc Guibert, David Bekri, Louise Aubet, Steve Berberat, Sébastien Rumley
Link to PDF: https://ai-days.swiss-ai-center.ch/en/papers/block-2
I am attending the #aidays at @UniKoeln, which brings together researchers, academic professionals and students from across the campus. It’s a great experience, offering many different perspectives. I learned about (interdisciplinary) #collaboration as #debugging in Nora Probst’s talk.
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Jens Dierkes
Jens Dierkes
Kiran Chandra