3 papers
cs.LG2026
On the second-order optimization for spiking neural networks
Ngoc Phu Doan, Ihsen Alouani
Spiking Neural Networks (SNNs) offer an energy-efficient alternative to conventional neural networks by exploiting sparse, binary spikes, and event-driven computation. However, the…
cs.LG2026
Batch Normalization Amplifies Memorization and Privacy Risks
Ngoc Phu Doan, Chongyan Gu, Ihsen Alouani
Batch Normalization (BN) is widely adopted to enable faster convergence and more stable training of deep neural networks. However, its impact on privacy and memorization has remain…
astro-ph.HE2025
MALLORN: Many Artificial LSST Lightcurves based on Observations of Real Nuclear transients
Dylan Magill, Matt Nicholl, Vysakh Anilkumar +10
The Vera C. Rubin Observatory's 10-Year Legacy Survey of Space and Time (LSST) is expected to produce a hundredfold increase in the number of transients we observe. However, there…