44 citations · 83 across the 6 of their papers we have counts for
4 papers · 1 filter
Opportunistic Expert Activation: Batch-Aware Expert Routing for Faster Decode Without Retraining
Costin-Andrei Oncescu, Qingyang Wu, Wai Tong Chung +5
An increasing number of LLMs employ Mixture-of-Experts (MoE) architectures where the feed-forward layer is replaced by a pool of experts and each token only activates a small subse…
A Staged Deep Learning Approach to Spatial Refinement in 3D Temporal Atmospheric Transport
M. Giselle Fernández-Godino, Wai Tong Chung, Akshay A. Gowardhan +4
High-resolution spatiotemporal simulations effectively capture the complexities of atmospheric plume dispersion in complex terrain. However, their high computational cost makes the…
Turbulence in Focus: Benchmarking Scaling Behavior of 3D Volumetric Super-Resolution with BLASTNet 2.0 Data
Wai Tong Chung, Bassem Akoush, Pushan Sharma +9
Analysis of compressible turbulent flows is essential for applications related to propulsion, energy generation, and the environment. Here, we present BLASTNet 2.0, a 2.2 TB networ…
The Bearable Lightness of Big Data: Towards Massive Public Datasets in Scientific Machine Learning
Wai Tong Chung, Ki Sung Jung, Jacqueline H. Chen +1
In general, large datasets enable deep learning models to perform with good accuracy and generalizability. However, massive high-fidelity simulation datasets (from molecular chemis…