arXiv EE and SS @arxiv_eess@social.cleverlibre.org

Learning to Act Safely with Limited Exposure and Almost Sure Certainty. (arXiv:2105.08748v1 [eess.SY]) http://arxiv.org/abs/2105.08748

A real-time distributed post-disaster restoration planning strategy for distribution networks. (arXiv:2105.08817v1 [eess.SY]) http://arxiv.org/abs/2105.08817

Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report. (arXiv:2105.08819v1 [eess.IV]) http://arxiv.org/abs/2105.08819

Real-Time Video Super-Resolution on Smartphones with Deep Learning, Mobile AI 2021 Challenge: Report. (arXiv:2105.08826v1 [eess.IV]) http://arxiv.org/abs/2105.08826

A Contraction Theory Approach to Optimization Algorithms from Acceleration Flows. (arXiv:2105.08832v1 [math.OC]) http://arxiv.org/abs/2105.08832

Gym-ANM: Open-source software to leverage reinforcement learning for power system management in research and education. (arXiv:2105.08846v1 [cs.LG]) http://arxiv.org/abs/2105.08846

Applying the Mahalanobis Distance to Develop Robust Approaches Against False Data Injection Attacks on Dynamic Power State Estimation. (arXiv:2105.08873v1 [eess.SY]) http://arxiv.org/abs/2105.08873

A Lightweight Privacy-Preserving Scheme Using Label-based Pixel Block Mixing for Image Classification in Deep Learning. (arXiv:2105.08876v1 [cs.CV]) http://arxiv.org/abs/2105.08876

Enforcing Policy Feasibility Constraints through Differentiable Projection for Energy Optimization. (arXiv:2105.08881v1 [eess.SY]) http://arxiv.org/abs/2105.08881

Deep Neural Network Accelerated Implicit Filtering. (arXiv:2105.08883v1 [math.OC]) http://arxiv.org/abs/2105.08883

A parameter refinement method for Ptychography based on Deep Learning concepts. (arXiv:2105.08058v1 [eess.IV]) http://arxiv.org/abs/2105.08058

Unsupervised MRI Reconstruction via Zero-Shot Learned Adversarial Transformers. (arXiv:2105.08059v1 [eess.IV]) http://arxiv.org/abs/2105.08059

Robust Doppler Filter Design for Joint RadCom Systems Based on Spatial Modulation. (arXiv:2105.08060v1 [eess.SP]) http://arxiv.org/abs/2105.08060

An Integrated Deep Learning and Dynamic Programming Method for Predicting Tumor Suppressor Genes, Oncogenes, and Fusion from PDB Structures. (arXiv:2105.08100v1 [cs.LG]) http://arxiv.org/abs/2105.08100

Weakly Private Information Retrieval Under R\'enyi Divergence. (arXiv:2105.08114v1 [cs.IT]) http://arxiv.org/abs/2105.08114

A Data-Efficient Approach to Behind-the-Meter Solar Generation Disaggregation. (arXiv:2105.08122v1 [eess.SY]) http://arxiv.org/abs/2105.08122

On exploration requirements for learning safety constraints. (arXiv:2105.08143v1 [eess.SY]) http://arxiv.org/abs/2105.08143

MUSER: MUltimodal Stress Detection using Emotion Recognition as an Auxiliary Task. (arXiv:2105.08146v1 [cs.CL]) http://arxiv.org/abs/2105.08146

COVID-19 Lung Lesion Segmentation Using a Sparsely Supervised Mask R-CNN on Chest X-rays Automatically Computed from Volumetric CTs. (arXiv:2105.08147v1 [eess.IV]) http://arxiv.org/abs/2105.08147

Cardiac Functional Analysis with Cine MRI via Deep Learning Reconstruction. (arXiv:2105.08157v1 [eess.IV]) http://arxiv.org/abs/2105.08157