PhaseNet++ detects anomalies in industrial control systems by processing both magnitude and phase from STFT using a Phase Coherence Index graph and dual-head decoder, achieving 90.98% F1 on the SWaT benchmark.
Attention is all you need
6 Pith papers cite this work. Polarity classification is still indexing.
6
Pith papers citing it
years
2026 6verdicts
UNVERDICTED 6representative citing papers
SAME-Net adds a differentiable soft attention mask embedding module to achieve rectification-free end-to-end scene text spotting with 84.02% H-mean on Total-Text.
FedHF-Impute enables federated imputation across heterogeneous feature spaces by using a shared global feature graph and message passing for indirect cross-client knowledge transfer, reporting RMSE gains on SECOM and AirQuality datasets.
Introduces integration, metastability, and dynamical stability index measures from layer activations and reports patterns distinguishing CIFAR-10 from CIFAR-100 difficulty plus early convergence signals across ResNet variants, DenseNet, MobileNetV2, VGG-16, and a Vision Transformer.
D-Legion proposes a scalable architecture of Legions containing adaptive-precision systolic array cores that accelerates quantized LLM matrix multiplications, delivering up to 8.2x lower latency and 3.8x higher memory savings versus prior designs.
Adaptive 3D-RoPE adapts rotary positional encoding to wireless channel physics via learnable 3D frequencies and dynamic CSI control, yielding up to 10.7 dB NMSE gains in scale extrapolation and 1 dB in zero-shot tasks.
citing papers explorer
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PhaseNet++: Phase-Aware Frequency-Domain Anomaly Detection for Industrial Control Systems via Phase Coherence Graphs
PhaseNet++ detects anomalies in industrial control systems by processing both magnitude and phase from STFT using a Phase Coherence Index graph and dual-head decoder, achieving 90.98% F1 on the SWaT benchmark.
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Do You Need Text Rectification? Soft Attention Mask Embedding for Rectification-Free Scene Text Spotting
SAME-Net adds a differentiable soft attention mask embedding module to achieve rectification-free end-to-end scene text spotting with 84.02% H-mean on Total-Text.
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Federated Imputation under Heterogeneous Feature Spaces
FedHF-Impute enables federated imputation across heterogeneous feature spaces by using a shared global feature graph and message passing for indirect cross-client knowledge transfer, reporting RMSE gains on SECOM and AirQuality datasets.
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Training Deep Visual Networks Beyond Loss and Accuracy Through a Dynamical Systems Approach
Introduces integration, metastability, and dynamical stability index measures from layer activations and reports patterns distinguishing CIFAR-10 from CIFAR-100 difficulty plus early convergence signals across ResNet variants, DenseNet, MobileNetV2, VGG-16, and a Vision Transformer.
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D-Legion: A Scalable Many-Core Architecture for Accelerating Matrix Multiplication in Quantized LLMs
D-Legion proposes a scalable architecture of Legions containing adaptive-precision systolic array cores that accelerates quantized LLM matrix multiplications, delivering up to 8.2x lower latency and 3.8x higher memory savings versus prior designs.
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Adaptive 3D-RoPE: Physics-Aligned Rotary Positional Encoding for Wireless Foundation Models
Adaptive 3D-RoPE adapts rotary positional encoding to wireless channel physics via learnable 3D frequencies and dynamic CSI control, yielding up to 10.7 dB NMSE gains in scale extrapolation and 1 dB in zero-shot tasks.