4 citations · 5 across the 5 of their papers we have counts for
5 papers
Deep learning surrogate models of JULES-INFERNO for wildfire prediction on a global scale
Sibo Cheng, Hector Chassagnon, Matthew Kasoar +2
Global wildfire models play a crucial role in anticipating and responding to changing wildfire regimes. JULES-INFERNO is a global vegetation and fire model simulating wildfire emis…
Improving Model Fusion by Training-time Neuron Alignment with Fixed Neuron Anchors
Zexi Li, Zhiqi Li, Jie Lin +5
Model fusion aims to integrate several deep neural network (DNN) models' knowledge into one by fusing parameters, and it has promising applications, such as improving the generaliz…
zkFL: Zero-Knowledge Proof-based Gradient Aggregation for Federated Learning
Zhipeng Wang, Nanqing Dong, Jiahao Sun +2
Federated learning (FL) is a machine learning paradigm, which enables multiple and decentralized clients to collaboratively train a model under the orchestration of a central aggre…
A generative model for surrogates of spatial-temporal wildfire nowcasting
Sibo Cheng, Yike Guo, Rossella Arcucci
Recent increase in wildfires worldwide has led to the need for real-time fire nowcasting. Physics-driven models, such as cellular automata and computational fluid dynamics can prov…
CoMoSpeech: One-Step Speech and Singing Voice Synthesis via Consistency Model
Zhen Ye, Wei Xue, Xu Tan +3
Denoising diffusion probabilistic models (DDPMs) have shown promising performance for speech synthesis. However, a large number of iterative steps are required to achieve high samp…