A Convexity-dependent Two-Phase Training Algorithm for Deep Neural Networks The key task of machine learning is to minimize the loss function that measures the model fit to the training data. The numerical methods to do this efficiently depend on the properties of the loss fu...

After the #BestPaperAward on the #KDIR #IC3K Conference in Marbella last week, the #paper is now available on #arXiv!

Check it out!

arxiv.org/abs/2510.25366

Handshake and handover of the Award by Prof. Lars Nolle

Selfie in front of the INSTICC IC3K Roll-Up Banner.

Got the #BestPaperAward yesterday at #KDIR #IC3K conference in #Marbella for the paper:

"A Convexity-Dependent Two-Phase Training Algorithm for Deep Neural Networks"

Huge thanks to the team!

There will be a #arXiv version soon! Stay tuned!

#paper #HSG #LLM #Transformers #ML #HSG #StGallen