Guardado en:
| Autores principales: | Carson, Erin, Chen, Xinye, Kang, Cheng |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2411.15209 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
LLM-ABBA: Understanding time series via symbolic approximation
por: Chen, Xinye, et al.
Publicado: (2024)
por: Chen, Xinye, et al.
Publicado: (2024)
TQ-DiT: Efficient Time-Aware Quantization for Diffusion Transformers
por: Hwang, Younghye, et al.
Publicado: (2025)
por: Hwang, Younghye, et al.
Publicado: (2025)
Sparse learned kernels for interpretable and efficient medical time series processing
por: Chen, Sully F., et al.
Publicado: (2023)
por: Chen, Sully F., et al.
Publicado: (2023)
Anomaly detection by partitioning of multi-variate time series
por: Lotte, Pierre, et al.
Publicado: (2025)
por: Lotte, Pierre, et al.
Publicado: (2025)
Anti-aliasing of neural distortion effects via model fine tuning
por: Carson, Alistair, et al.
Publicado: (2025)
por: Carson, Alistair, et al.
Publicado: (2025)
Improving performance of heart rate time series classification by grouping subjects
por: Beekhuizen, Michael, et al.
Publicado: (2023)
por: Beekhuizen, Michael, et al.
Publicado: (2023)
Concurrence: A dependence criterion for time series, applied to biological data
por: Sariyanidi, Evangelos, et al.
Publicado: (2025)
por: Sariyanidi, Evangelos, et al.
Publicado: (2025)
VAE-IF: Deep feature extraction with averaging for fully unsupervised artifact detection in routinely acquired ICU time-series
por: Haule, Hollan, et al.
Publicado: (2023)
por: Haule, Hollan, et al.
Publicado: (2023)
Forecasting-based Biomedical Time-series Data Synthesis for Open Data and Robust AI
por: Lee, Youngjoon, et al.
Publicado: (2025)
por: Lee, Youngjoon, et al.
Publicado: (2025)
Learning Representations for CSI Adaptive Quantization and Feedback
por: Rizzello, Valentina, et al.
Publicado: (2022)
por: Rizzello, Valentina, et al.
Publicado: (2022)
Interpretable mixture of experts for time series prediction under recurrent and non-recurrent conditions
por: Ke, Zemian, et al.
Publicado: (2024)
por: Ke, Zemian, et al.
Publicado: (2024)
GPT2MEG: Quantizing MEG for Autoregressive Generation
por: Csaky, Richard, et al.
Publicado: (2024)
por: Csaky, Richard, et al.
Publicado: (2024)
Rate-Constrained Quantization for Communication-Efficient Federated Learning
por: Hamidi, Shayan Mohajer, et al.
Publicado: (2024)
por: Hamidi, Shayan Mohajer, et al.
Publicado: (2024)
Privacy-Preserving Quantized Federated Learning with Diverse Precision
por: Nguyen, Dang Qua, et al.
Publicado: (2025)
por: Nguyen, Dang Qua, et al.
Publicado: (2025)
Quantizing Small-Scale State-Space Models for Edge AI
por: Zhao, Leo, et al.
Publicado: (2025)
por: Zhao, Leo, et al.
Publicado: (2025)
Quantization-Aware Collaborative Inference for Large Embodied AI Models
por: Lyu, Zhonghao, et al.
Publicado: (2026)
por: Lyu, Zhonghao, et al.
Publicado: (2026)
Generative adversarial wavelet neural operator: Application to fault detection and isolation of multivariate time series data
por: Rani, Jyoti, et al.
Publicado: (2024)
por: Rani, Jyoti, et al.
Publicado: (2024)
A Carbon Tracking Model for Federated Learning: Impact of Quantization and Sparsification
por: Barbieri, Luca, et al.
Publicado: (2023)
por: Barbieri, Luca, et al.
Publicado: (2023)
BrainRVQ: A High-Fidelity EEG Foundation Model via Dual-Domain Residual Quantization and Hierarchical Autoregression
por: Cui, Mingzhe, et al.
Publicado: (2026)
por: Cui, Mingzhe, et al.
Publicado: (2026)
Adaptive function approximation based on the Discrete Cosine Transform (DCT)
por: Pérez-Neira, Ana I., et al.
Publicado: (2023)
por: Pérez-Neira, Ana I., et al.
Publicado: (2023)
Communication-Efficient Federated Learning via Clipped Uniform Quantization
por: Bozorgasl, Zavareh, et al.
Publicado: (2024)
por: Bozorgasl, Zavareh, et al.
Publicado: (2024)
Uncertainty quantification with approximate variational learning for wearable photoplethysmography prediction tasks
por: Bench, Ciaran, et al.
Publicado: (2025)
por: Bench, Ciaran, et al.
Publicado: (2025)
Resampling Filter Design for Multirate Neural Audio Effect Processing
por: Carson, Alistair, et al.
Publicado: (2025)
por: Carson, Alistair, et al.
Publicado: (2025)
Batch Normalization-Free Fully Integer Quantized Neural Networks via Progressive Tandem Learning
por: Sun, Pengfei, et al.
Publicado: (2025)
por: Sun, Pengfei, et al.
Publicado: (2025)
Recurrences reveal shared causal drivers of complex time series
por: Gilpin, William
Publicado: (2023)
por: Gilpin, William
Publicado: (2023)
Signal Quality Auditing for Time-series Data
por: Gao, Chufan, et al.
Publicado: (2024)
por: Gao, Chufan, et al.
Publicado: (2024)
MobiVital: Self-supervised Time-series Quality Estimation for Contactless Respiration Monitoring Using UWB Radar
por: Wang, Ziqi, et al.
Publicado: (2025)
por: Wang, Ziqi, et al.
Publicado: (2025)
Channel-Aware Vector Quantization for Robust Semantic Communication on Discrete Channels
por: Meng, Zian, et al.
Publicado: (2025)
por: Meng, Zian, et al.
Publicado: (2025)
A system identification approach to clustering vector autoregressive time series
por: Yue, Zuogong, et al.
Publicado: (2025)
por: Yue, Zuogong, et al.
Publicado: (2025)
ROK Defense M&S in the Age of Hyperscale AI: Concepts, Challenges, and Future Directions
por: Lee, Youngjoon, et al.
Publicado: (2024)
por: Lee, Youngjoon, et al.
Publicado: (2024)
GeoPep: A geometry-aware masked language model for protein-peptide binding site prediction
por: Chen, Dian, et al.
Publicado: (2025)
por: Chen, Dian, et al.
Publicado: (2025)
FEMBA on the Edge: Physiologically-Aware Pre-Training, Quantization, and Deployment of a Bidirectional Mamba EEG Foundation Model on an Ultra-low Power Microcontroller
por: Tegon, Anna, et al.
Publicado: (2026)
por: Tegon, Anna, et al.
Publicado: (2026)
Real-time Calibration Model for Low-cost Sensor in Fine-grained Time series
por: Ahn, Seokho, et al.
Publicado: (2024)
por: Ahn, Seokho, et al.
Publicado: (2024)
Performance Monitoring of Proton Exchange Membrane Water Electrolyzer by Transformers-Based Machine Learning Model
por: Chen, Bingqing, et al.
Publicado: (2026)
por: Chen, Bingqing, et al.
Publicado: (2026)
Cross-Machine Anomaly Detection Leveraging Pre-trained Time-series Model
por: Li, Yangmeng, et al.
Publicado: (2026)
por: Li, Yangmeng, et al.
Publicado: (2026)
Evaluating Large Language Models as Virtual Annotators for Time-series Physical Sensing Data
por: Hota, Aritra, et al.
Publicado: (2024)
por: Hota, Aritra, et al.
Publicado: (2024)
Rolling bearing fault diagnosis method based on generative adversarial enhanced multi-scale convolutional neural network model
por: Zhou, Maoxuan, et al.
Publicado: (2024)
por: Zhou, Maoxuan, et al.
Publicado: (2024)
Generative AI-Powered Plugin for Robust Federated Learning in Heterogeneous IoT Networks
por: Lee, Youngjoon, et al.
Publicado: (2024)
por: Lee, Youngjoon, et al.
Publicado: (2024)
A Unified Benchmark of Federated Learning with Kolmogorov-Arnold Networks for Medical Imaging
por: Lee, Youngjoon, et al.
Publicado: (2025)
por: Lee, Youngjoon, et al.
Publicado: (2025)
UniFi: Combining Irregularly Sampled CSI from Diverse Communication Packets and Frequency Bands for Wi-Fi Sensing
por: Dong, Gaofeng, et al.
Publicado: (2025)
por: Dong, Gaofeng, et al.
Publicado: (2025)
Ejemplares similares
-
LLM-ABBA: Understanding time series via symbolic approximation
por: Chen, Xinye, et al.
Publicado: (2024) -
TQ-DiT: Efficient Time-Aware Quantization for Diffusion Transformers
por: Hwang, Younghye, et al.
Publicado: (2025) -
Sparse learned kernels for interpretable and efficient medical time series processing
por: Chen, Sully F., et al.
Publicado: (2023) -
Anomaly detection by partitioning of multi-variate time series
por: Lotte, Pierre, et al.
Publicado: (2025) -
Anti-aliasing of neural distortion effects via model fine tuning
por: Carson, Alistair, et al.
Publicado: (2025)