3 papers
physics.bio-ph2025
Modular connectivity in neural networks emerges from Poisson noise-motivated regularisation, and promotes robustness and compositional generalisation
Daoyuan Qian, Qiyao Liang, Ila Fiete
Circuits in the brain commonly exhibit modular architectures that factorise complex tasks, resulting in the ability to compositionally generalise and reduce catastrophic forgetting…
cs.LG2025
Compositional Generalization via Forced Rendering of Disentangled Latents
Qiyao Liang, Daoyuan Qian, Liu Ziyin +1
Composition-the ability to generate myriad variations from finite means-is believed to underlie powerful generalization. However, compositional generalization remains a key challen…
nlin.CD2024
Fundamental performance bounds on time-series generation using reservoir computing
Daoyuan Qian, Ila Fiete
Reservoir computing (RC) harnesses the intrinsic dynamics of a chaotic system, called the reservoir, to perform various time-varying functions. An important use-case of RC is the g…