Saved in:
| Main Author: | Huang, Jiayi |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.10351 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Reliable Inference in Edge-Cloud Model Cascades via Conformal Alignment
by: Huang, Jiayi, et al.
Published: (2025)
by: Huang, Jiayi, et al.
Published: (2025)
Conformal Distributed Remote Inference in Sensor Networks Under Reliability and Communication Constraints
by: Zhu, Meiyi, et al.
Published: (2024)
by: Zhu, Meiyi, et al.
Published: (2024)
Robust Classification under Noisy Labels: A Geometry-Aware Reliability Framework for Foundation Models
by: Bozkurt, Ecem, et al.
Published: (2025)
by: Bozkurt, Ecem, et al.
Published: (2025)
Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference
by: Huang, Jiayi, et al.
Published: (2024)
by: Huang, Jiayi, et al.
Published: (2024)
Reliable LLM-Based Edge-Cloud-Expert Cascades for Telecom Knowledge Systems
by: Hou, Qiushuo, et al.
Published: (2025)
by: Hou, Qiushuo, et al.
Published: (2025)
Distilling Calibration via Conformalized Credal Inference
by: Huang, Jiayi, et al.
Published: (2025)
by: Huang, Jiayi, et al.
Published: (2025)
SleepNetZero: Zero-Burden Zero-Shot Reliable Sleep Staging With Neural Networks Based on Ballistocardiograms
by: Li, Shuzhen, et al.
Published: (2024)
by: Li, Shuzhen, et al.
Published: (2024)
Longitudinal Wrist PPG Analysis for Reliable Hypertension Risk Screening Using Deep Learning
by: Lin, Hui, et al.
Published: (2024)
by: Lin, Hui, et al.
Published: (2024)
Algorithm Based on One Monocular Video Delivers Highly Valid and Reliable Gait Parameters
by: Azhand, Arash, et al.
Published: (2020)
by: Azhand, Arash, et al.
Published: (2020)
Ultra-Reliable Risk-Aggregated Sum Rate Maximization via Model-Aided Deep Learning
by: Hashmi, Hassaan, et al.
Published: (2025)
by: Hashmi, Hassaan, et al.
Published: (2025)
On the Efficiency and Robustness of Vibration-based Foundation Models for IoT Sensing: A Case Study
by: Kimura, Tomoyoshi, et al.
Published: (2024)
by: Kimura, Tomoyoshi, et al.
Published: (2024)
Optimized Certainty Equivalent Risk-Controlling Prediction Sets
by: Huang, Jiayi, et al.
Published: (2026)
by: Huang, Jiayi, et al.
Published: (2026)
Calibration-Aware Bayesian Learning
by: Huang, Jiayi, et al.
Published: (2023)
by: Huang, Jiayi, et al.
Published: (2023)
Multi-level Reliability Interface for Semantic Communications over Wireless Networks
by: Tung, Tze-Yang, et al.
Published: (2024)
by: Tung, Tze-Yang, et al.
Published: (2024)
Boosted Neural Decoders: Achieving Extreme Reliability of LDPC Codes for 6G Networks
by: Kwak, Hee-Youl, et al.
Published: (2024)
by: Kwak, Hee-Youl, et al.
Published: (2024)
Conformal Calibration: Ensuring the Reliability of Black-Box AI in Wireless Systems
by: Simeone, Osvaldo, et al.
Published: (2025)
by: Simeone, Osvaldo, et al.
Published: (2025)
Guaranteed Dynamic Scheduling of Ultra-Reliable Low-Latency Traffic via Conformal Prediction
by: Cohen, Kfir M., et al.
Published: (2023)
by: Cohen, Kfir M., et al.
Published: (2023)
Deep Learning-Based Image Compression for Wireless Communications: Impacts on Reliability,Throughput, and Latency
by: Naseri, Mostafa, et al.
Published: (2024)
by: Naseri, Mostafa, et al.
Published: (2024)
Compressed Bayesian Federated Learning for Reliable Passive Radio Sensing in Industrial IoT
by: Barbieri, Luca, et al.
Published: (2024)
by: Barbieri, Luca, et al.
Published: (2024)
Retrieval-Augmented Generation for Reliable Interpretation of Radio Regulations
by: Kassimi, Zakaria El, et al.
Published: (2025)
by: Kassimi, Zakaria El, et al.
Published: (2025)
GEFM: Graph-Enhanced EEG Foundation Model
by: Wang, Limin, et al.
Published: (2024)
by: Wang, Limin, et al.
Published: (2024)
Neuro-GPT: Towards A Foundation Model for EEG
by: Cui, Wenhui, et al.
Published: (2023)
by: Cui, Wenhui, et al.
Published: (2023)
Conformal Inference for Time Series over Graphs
by: Dua, Sonakshi, et al.
Published: (2025)
by: Dua, Sonakshi, et al.
Published: (2025)
A Multi-Modal Foundational Model for Wireless Communication and Sensing
by: Yazdnian, Vahid, et al.
Published: (2026)
by: Yazdnian, Vahid, et al.
Published: (2026)
Toward Foundation Model for Multivariate Wearable Sensing of Physiological Signals
by: Luo, Yunfei, et al.
Published: (2024)
by: Luo, Yunfei, et al.
Published: (2024)
BUILD with Precision: Bottom-Up Inference of Linear DAGs
by: Ajorlou, Hamed, et al.
Published: (2025)
by: Ajorlou, Hamed, et al.
Published: (2025)
GPT-PPG: A GPT-based Foundation Model for Photoplethysmography Signals
by: Chen, Zhaoliang, et al.
Published: (2025)
by: Chen, Zhaoliang, et al.
Published: (2025)
PaPaGei: Open Foundation Models for Optical Physiological Signals
by: Pillai, Arvind, et al.
Published: (2024)
by: Pillai, Arvind, et al.
Published: (2024)
Higher-Order GNNs Meet Efficiency: Sparse Sobolev Graph Neural Networks
by: Giraldo, Jhony H., et al.
Published: (2024)
by: Giraldo, Jhony H., et al.
Published: (2024)
Quantization-Aware Collaborative Inference for Large Embodied AI Models
by: Lyu, Zhonghao, et al.
Published: (2026)
by: Lyu, Zhonghao, et al.
Published: (2026)
Robust Filtering -- Novel Statistical Learning and Inference Algorithms with Applications
by: Chughtai, Aamir Hussain
Published: (2025)
by: Chughtai, Aamir Hussain
Published: (2025)
Over-the-Air Inference over Multi-hop MIMO Networks
by: Bian, Chenghong, et al.
Published: (2025)
by: Bian, Chenghong, et al.
Published: (2025)
Communication-Computation Trade-Off in Resource-Constrained Edge Inference
by: Shao, Jiawei, et al.
Published: (2020)
by: Shao, Jiawei, et al.
Published: (2020)
AM-FM: A Foundation Model for Ambient Intelligence Through WiFi
by: Zhu, Guozhen, et al.
Published: (2026)
by: Zhu, Guozhen, et al.
Published: (2026)
EEG Foundation Challenge: From Cross-Task to Cross-Subject EEG Decoding
by: Aristimunha, Bruno, et al.
Published: (2025)
by: Aristimunha, Bruno, et al.
Published: (2025)
RefineBridge: Generative Bridge Models Improve Financial Forecasting by Foundation Models
by: Bolton, Anthony, et al.
Published: (2025)
by: Bolton, Anthony, et al.
Published: (2025)
Towards Robust Multimodal Physiological Foundation Models: Handling Arbitrary Missing Modalities
by: Jiang, Wei-Bang, et al.
Published: (2025)
by: Jiang, Wei-Bang, et al.
Published: (2025)
BrainOmni: A Brain Foundation Model for Unified EEG and MEG Signals
by: Xiao, Qinfan, et al.
Published: (2025)
by: Xiao, Qinfan, et al.
Published: (2025)
Communication-Learning Co-Design for Differentially Private Over-the-Air Federated Distillation
by: Hu, Zihao, et al.
Published: (2025)
by: Hu, Zihao, et al.
Published: (2025)
BrainGPT: Unleashing the Potential of EEG Generalist Foundation Model by Autoregressive Pre-training
by: Yue, Tongtian, et al.
Published: (2024)
by: Yue, Tongtian, et al.
Published: (2024)
Similar Items
-
Reliable Inference in Edge-Cloud Model Cascades via Conformal Alignment
by: Huang, Jiayi, et al.
Published: (2025) -
Conformal Distributed Remote Inference in Sensor Networks Under Reliability and Communication Constraints
by: Zhu, Meiyi, et al.
Published: (2024) -
Robust Classification under Noisy Labels: A Geometry-Aware Reliability Framework for Foundation Models
by: Bozkurt, Ecem, et al.
Published: (2025) -
Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference
by: Huang, Jiayi, et al.
Published: (2024) -
Reliable LLM-Based Edge-Cloud-Expert Cascades for Telecom Knowledge Systems
by: Hou, Qiushuo, et al.
Published: (2025)