3 papers
cs.LG2026
Constrained Co-Design for Photonic Bayesian Neural Networks
Hendrik Borras, Xiao Wang, Bernhard Klein +4
Classical neural networks frequently produce overconfident predictions on ambiguous or out-of-distribution (OOD) data, a liability that grows with each AI system deployed in safety…
cs.LG2025
Variance-Aware Noisy Training: Hardening DNNs against Unstable Analog Computations
Xiao Wang, Hendrik Borras, Bernhard Klein +1
The disparity between the computational demands of deep learning and the capabilities of compute hardware is expanding drastically. Although deep learning achieves remarkable perfo…
cs.LG2025
On Hardening DNNs against Noisy Computations
Xiao Wang, Hendrik Borras, Bernhard Klein +1
The success of deep learning has sparked significant interest in designing computer hardware optimized for the high computational demands of neural network inference. As further mi…