collaborators

16 papers

nlin.AO2026

Symmetry-based selection rules for higher-order interactions in coupled oscillators

Iván Léon, Riccardo Muolo, Yuanzhao Zhang +1

Pairwise interactions among general nonlinear oscillators can be reduced, via phase reduction, to a Kuramoto-type phase coupling . For higher-order interactions…

cs.LG2026

Scaling World-Model Reinforcement Learning Through Diffusion Policy Optimization

Xiaoyuan Cheng, Wenxuan Yuan, Zhancun Mu +5

Model-based reinforcement learning (RL) can be effectively supported at scale through the use of world models. However, in practice, scaling such approaches remains fundamentally l…

cond-mat.dis-nn2026

Signature of glassy dynamics in dynamic modes decompositions

Zachary G. Nicolaou, Hangjun Cho, Yuanzhao Zhang +2

Glasses are traditionally characterized by their rugged landscape of disordered low-energy states and their slow relaxation towards thermodynamic equilibrium. Far from equilibrium,…

cond-mat.stat-mech2026

Anomalous scaling in redirection networks

Harrison Hartle, P. L. Krapivsky, S. Redner +1

In networks that grow by isotropic redirection (IR), a new node selects an initial target node uniformly at random and attaches to a randomly chosen neighbor of the target. The eme…

cs.LG2026

Context parroting: A simple but tough-to-beat baseline for foundation models in scientific machine learning

Yuanzhao Zhang, William Gilpin

Recent time-series foundation models exhibit strong abilities to predict physical systems. These abilities include zero-shot forecasting, in which a model forecasts future states o…

nlin.AO2026

Collective dynamics on higher-order networks

Federico Battiston, Christian Bick, Maxime Lucas +3

Higher-order interactions that nonlinearly couple more than two nodes are important in many networked systems, and their effects on collective dynamics are increasingly being studi…