3 papers
cs.LG2025
One-Time Soft Alignment Enables Resilient Learning without Weight Transport
Jeonghwan Cheon, Jaehyuk Bae, Se-Bum Paik
Backpropagation is the cornerstone of deep learning, but its reliance on symmetric weight transport and global synchronization makes it computationally expensive and biologically i…
cs.LG2025
Pretraining with Random Noise for Fast and Robust Learning without Weight Transport
Jeonghwan Cheon, Sang Wan Lee, Se-Bum Paik
The brain prepares for learning even before interacting with the environment, by refining and optimizing its structures through spontaneous neural activity that resembles random no…
cs.LG2025
Pretraining with random noise for uncertainty calibration
Jeonghwan Cheon, Se-Bum Paik
Uncertainty calibration is crucial for various machine learning applications, yet it remains challenging. Many models exhibit hallucinations - confident yet inaccurate responses -…