310 citations · 942 across the 43 of their papers we have counts for
16 papers · 1 filter
Parallel Submodular Function Minimization
Deeparnab Chakrabarty, Andrei Graur, Haotian Jiang +1
We consider the parallel complexity of submodular function minimization (SFM). We provide a pair of methods which obtain two new query versus depth trade-offs a submodular function…
Sparse Submodular Function Minimization
Andrei Graur, Haotian Jiang, Aaron Sidford
In this paper we study the problem of minimizing a submodular function that is guaranteed to have a -sparse minimizer. We give a deterministic a…
Superconductivity emerging from density-wave-like order in a correlated kagome metal
Yi Liu, Zi-Yi Liu, Jin-Ke Bao +22
Unconventional superconductivity (USC) in a highly correlated kagome system has been theoretically proposed for years, yet the experimental realization is hard to achieve. The rece…
Continuous-Time Channel Prediction Based on Tensor Neural Ordinary Differential Equation
Mingyao Cui, Hao Jiang, Yuhao Chen +2
Channel prediction is critical to address the channel aging issue in mobile scenarios. Existing channel prediction techniques are mainly designed for discrete channel prediction, w…
Channel Modeling for Heterogeneous Vehicular ISAC System with Shared Clusters
Baiping Xiong, Zaichen Zhang, Yingmeng Ge +4
In this paper, we consider the channel modeling of a heterogeneous vehicular integrated sensing and communication (ISAC) system, where a dual-functional multi-antenna base station…
Training Energy-Based Models with Diffusion Contrastive Divergences
Weijian Luo, Hao Jiang, Tianyang Hu +3
Energy-Based Models (EBMs) have been widely used for generative modeling. Contrastive Divergence (CD), a prevailing training objective for EBMs, requires sampling from the EBM with…