2 papers
cs.CV2026
Can Knowledge Transfer Parameters Be Learned? LePoKet for Efficient Robotic Vision
Yanick C. Tchenko, Felix Mohr, Hicham Hadj-Abdelkader +1
Efficient perception is central to robotic systems operating under constrained computation, memory, and latency budgets. Knowledge transfer from larger pretrained models offers a p…
cs.LG2025
HKT: A Biologically Inspired Framework for Modular Hereditary Knowledge Transfer in Neural Networks
Yanick Chistian Tchenko, Felix Mohr, Hicham Hadj Abdelkader +1
A prevailing trend in neural network research suggests that model performance improves with increasing depth and capacity - often at the cost of integrability and efficiency. In th…