3 papers
cs.LG2026
Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift
Robin Holzinger, Riccardo Colletti
Real-world data distributions evolve over time, inducing temporal distribution shift that can substantially degrade the reliability of deployed machine learning systems. However, t…
physics.app-ph2026
Integrated Circuit Architecture for Real-Time Sensing with Embedded Microbial Whole-Cell Sensors
Amritha Janardanan, Soner Sonmezoglu, Stefano Sonedda +6
Bacteria sense a diverse range of environmental analytes with high sensitivity and temporal resolution. Engineering and synthetic biology approaches enabled harnessing this capabil…
math.CO2024
Hamiltonian cycles passing through matchings in -ary -cubes
Baolai Liao, Fan Wang
As we all know, the -ary -cube is a highly efficient interconnect network topology structure. It is also a concept of great significance, with a broad range of applications s…