Attention-aware Semantic Communications for Collaborative Inference https://arxiv.org/abs/2404.07217 #eess.SP #cs.AI #cs.CV #cs.LG
Houston we have a Divergence: A Subgroup Performance Analysis of ASR Models https://arxiv.org/abs/2404.07226 #eess.AS #cs.LG #cs.SD
Structured Reinforcement Learning for Media Streaming at the Wireless Edge https://arxiv.org/abs/2404.07315 #eess.SY #cs.AI #cs.LG #cs.SY
Rethinking Perceptual Metrics for Medical Image Translation https://arxiv.org/abs/2404.07318 #eess.IV #cs.CV #cs.LG
Conformer-1: Robust ASR via Large-Scale Semisupervised Bootstrapping https://arxiv.org/abs/2404.07341 #eess.AS #cs.CL #cs.LG #cs.SD
Synthesizing Neural Network Controllers with Closed-Loop Dissipativity Guarantees https://arxiv.org/abs/2404.07373 #eess.SY #cs.LG #cs.SY
Improving Multi-Center Generalizability of GAN-Based Fat Suppression using Federated Learning https://arxiv.org/abs/2404.07374 #eess.IV #cs.CV #cs.LG
Lyapunov-Based Deep Residual Neural Network (ResNet) Adaptive Control https://arxiv.org/abs/2404.07385 #eess.SY #cs.SY
Onboard Processing of Hyperspectral Imagery: Deep Learning Advancements, Methodologies, Challenges, and Emerging Trends https://arxiv.org/abs/2404.06526 #eess.IV
Leveraging Latents for Efficient Thermography Classification and Segmentation https://arxiv.org/abs/2404.06589 #eess.IV #cs.CV #cs.LG
Encoder-Quantization-Motion-based Video Quality Metrics https://arxiv.org/abs/2404.06620 #eess.IV
Res-U2Net: Untrained Deep Learning for Phase Retrieval and Image Reconstruction https://arxiv.org/abs/2404.06657 #physics.optics #eess.IV #cs.CV
On Bounds for Greedy Schemes in String Optimization based on Greedy Curvatures https://arxiv.org/abs/2404.06669 #eess.SY #cs.DS #cs.SY
Spiral Scanning and Self-Supervised Image Reconstruction Enable Ultra-Sparse Sampling Multispectral Photoacoustic Tomography https://arxiv.org/abs/2404.06695 #physics.med-ph #eess.IV
Dual Ensemble Kalman Filter for Stochastic Optimal Control https://arxiv.org/abs/2404.06696 #eess.SY #cs.SY
What is Learnt by the LEArnable Front-end (LEAF)? Adapting Per-Channel Energy Normalisation (PCEN) to Noisy Conditions https://arxiv.org/abs/2404.06702 #eess.AS #eess.SP #cs.SD
Iterative distributed moving horizon estimation of linear systems with penalties on both system disturbances and noise https://arxiv.org/abs/2404.06706 #eess.SY #cs.SY
Deep Learning-Based Brain Image Segmentation for Automated Tumour Detection https://arxiv.org/abs/2404.05763 #eess.IV #cs.CV
Study of the effect of Sharpness on Blind Video Quality Assessment https://arxiv.org/abs/2404.05764 #eess.IV #cs.CV
A feed of publications in arXiv on Electrical Engineering and Systems Science.
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