4 citations · 5 across the 5 of their papers we have counts for
5 papers
DiffLUT-Net: Differentiable Training of FPGA LUT Networks with Learnable Connectivity
Jiaqi Ye, Xinrui Gong, Jingcun Wang +3
Field-programmable gate arrays (FPGAs) enable efficient neural-network inference, but most deployment flows either accelerate multiply-accumulate operations or convert pretrained q…
CompressKV: Semantic Retrieval Heads Know What Tokens are Not Important Before Generation
Xiaolin Lin, Jingcun Wang, Olga Kondrateva +3
Recent advances in large language models (LLMs) have significantly boosted long-context processing. However, the increasing key-value (KV) cache size poses critical challenges to m…
Deep Joint Source-Channel Coding for Small Satellite Applications
Olga Kondrateva, Grace Li Zhang, Julian Zobel +2
Small satellites used for Earth observation generate vast amounts of high-dimensional data, but their operation in low Earth orbit creates a significant communication bottleneck du…
Adaptable Deep Joint Source-and-Channel Coding for Small Satellite Applications
Olga Kondrateva, Stefan Dietzel, Björn Scheuermann
Earth observation with small satellites serves a wide range of relevant applications. However, significant advances in sensor technology (e.g., higher resolution, multiple spectrum…
Joint Source-and-Channel Coding for Small Satellite Applications
Olga Kondrateva, Stefan Dietzel, Björn Scheuermann
Small satellites are widely used today as cost effective means to perform Earth observation and other tasks that generate large amounts of high-dimensional data, such as multi-spec…