Towards Quantifying the Hessian Structure of Neural Networks.
CoRR, May, 2025
Multiple Descent in the Multiple Random Feature Model.
J. Mach. Learn. Res., 2024
DAG-based swarm learning: A secure asynchronous learning framework for Internet of Vehicles.
Digit. Commun. Networks, 2024
CMATH: Cross-Modality Augmented Transformer with Hierarchical Variational Distillation for Multimodal Emotion Recognition in Conversation.
CoRR, 2024
Recent advances on eigenvalues of matrix-valued stochastic processes.
J. Multivar. Anal., 2022
Design of Wireless Force Sensing Module of Vascular Interventional Robot.
Proceedings of the Intelligent Robotics and Applications - 15th International Conference, 2022
Performance Evaluation Model of Substation Battery Pack Based on New Series Parallel Topology.
Proceedings of the e-Learning, e-Education, and Online Training, 2022
Research on the Evaluation Method of Ideological and Political Effect of Online Courses in Internet of Things.
Proceedings of the e-Learning, e-Education, and Online Training, 2022
Implicit Data-Driven Regularization in Deep Neural Networks under SGD.
CoRR, 2021
Design of an Antagonistic Variable Stiffness Finger for Interactions and Its Analysis.
Proceedings of the Intelligent Robotics and Applications - 14th International Conference, 2021
On a spiked model for large volatility matrix estimation from noisy high-frequency data.
Comput. Stat. Data Anal., 2019
A new multivariate CUSUM chart using principal components with a revision of Crosier's chart.
Commun. Stat. Simul. Comput., 2018
On singular value distribution of large-dimensional autocovariance matrices.
J. Multivar. Anal., 2015
Estimation of the number of spikes, possibly equal, in the high-dimensional case.
J. Multivar. Anal., 2014
On estimation of the noise variance in a high-dimensional signal detection model.
Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014
Fluctuations for linear spectral statistics of large random covariance matrices.
Proceedings of the 22nd European Signal Processing Conference, 2014
Estimation and fluctuations of functionals of large random matrices. (Estiamation et fluctuations de fonctionnelles de grandes matrices aléatoires).
PhD thesis, 2013
Fluctuations of an Improved Population Eigenvalue Estimator in Sample Covariance Matrix Models.
IEEE Trans. Inf. Theory, 2013
Eigenvalue Estimation of Parameterized Covariance Matrices of Large Dimensional Data.
IEEE Trans. Signal Process., 2012
On sample eigenvalues in a generalized spiked population model.
J. Multivar. Anal., 2012
Estimation of the Covariance Matrix of Large Dimensional Data
CoRR, 2012
On a model selection problem from high-dimensional sample covariance matrices.
J. Multivar. Anal., 2011
CLT for eigen-inference methods in cognitive radios.
Proceedings of the IEEE International Conference on Acoustics, 2011