3 papers
cs.LG2025
Weak-to-Strong Generalization under Distribution Shifts
Myeongho Jeon, Jan Sobotka, Suhwan Choi +1
As future superhuman models become increasingly complex, accurately supervising their behavior may exceed human capabilities. Recent works have demonstrated that in such scenarios,…
cs.LG2025
MEIcoder: Decoding Visual Stimuli from Neural Activity by Leveraging Most Exciting Inputs
Jan Sobotka, Luca Baroni, Ján AntolÃk
Decoding visual stimuli from neural population activity is crucial for understanding the brain and for applications in brain-machine interfaces. However, such biological data is of…
cs.LG2025
Enhancing Fractional Gradient Descent with Learned Optimizers
Jan Sobotka, Petr Å imánek, Pavel KordÃk
Fractional Gradient Descent (FGD) offers a novel and promising way to accelerate optimization by incorporating fractional calculus into machine learning. Although FGD has shown enc…