1 citations · 1 across the 6 of their papers we have counts for
6 papers
Quantitative propagation of chaos and universality for asymmetric Langevin spin glass dynamics
Manuel Arnese, Kevin Hu
We obtain quantitative estimates on quenched propagation of chaos for Langevin spin glass dynamics with i.i.d. disorder. Prior work in the case of Gaussian disorder established the…
fabric-lib: RDMA Point-to-Point Communication for LLM Systems
Nandor Licker, Kevin Hu, Vladimir Zaytsev +1
Emerging Large Language Model (LLM) system patterns, such as disaggregated inference, Mixture-of-Experts (MoE) routing, and asynchronous reinforcement fine-tuning, require flexible…
A case study of the long-time behavior of the Gaussian local-field equation
Kevin Hu, Kavita Ramanan
For any integer , the -local-field equation (-LFE) characterizes the limit of the neighborhood path empirical measure of interacting diffusions on -regular random…
An H-theorem for a conditional McKean-Vlasov process related to interacting diffusions on regular trees
Kevin Hu, Kavita Ramanan
We study the long-time behavior of the -Markov local-field equation (-MLFE), which is a conditional McKean-Vlasov equation associated with interacting diffusions on the -r…
A Mimicking Theorem for processes driven by fractional Brownian motion
Kevin Hu, Kavita Ramanan, William Salkeld
In this paper, we prove a mimicking theorem for stochastic processes with an additive Gaussian noise along with some entropy and transport type estimates. As an application of thes…
The fundamental martingale with applications to Markov Random Fields
Kevin Hu, Kavita Ramanan, William Salkeld
We consider collections of SDEs indexed by a graph. Each SDE is driven by an additive Gaussian noise and each drift term interacts with all other SDEs within the graph neighbourhoo…