3 papers
eess.IV2026
Diffusion-aided Extreme Video Compression with Lightweight Semantics Guidance
Maojun Zhang, Haotian Wu, Richeng Jin +2
Modern video codecs and learning-based approaches struggle for semantic reconstruction at extremely low bit-rates due to reliance on low-level spatiotemporal redundancies. Generati…
eess.SP2025
Over-the-Air Inference over Multi-hop MIMO Networks
Chenghong Bian, Meng Hua, Deniz Gunduz
A novel over-the-air machine learning framework over multi-hop multiple-input and multiple-output (MIMO) networks is proposed. The core idea is to imitate fully connected (FC) neur…
cs.LG2024
Energy-Aware Dynamic Neural Inference
Marcello Bullo, Seifallah Jardak, Pietro Carnelli +1
The growing demand for intelligent applications beyond the network edge, coupled with the need for sustainable operation, are driving the seamless integration of deep learning (DL)…