基本信息
views: 93
Career Trajectory
Bio
Research Interests
Machine Learning and Computer Vision
Revealing structure in Unsupervised data, Matrix Factorization, Multi-scale methods
Theory and Design of Deep Networks, Regularizing Neural Networks
Interpretability/Explainability of Nonlinear Models
Nonparametric Statistics
Computationally Efficient Testing, Robust Resampling Methods
Applications
Learning Models in Data Sciences, Deep Network Designs for Biomedical studies
Multi-source Data Integration/Harmonization
Machine Learning and Computer Vision
Revealing structure in Unsupervised data, Matrix Factorization, Multi-scale methods
Theory and Design of Deep Networks, Regularizing Neural Networks
Interpretability/Explainability of Nonlinear Models
Nonparametric Statistics
Computationally Efficient Testing, Robust Resampling Methods
Applications
Learning Models in Data Sciences, Deep Network Designs for Biomedical studies
Multi-source Data Integration/Harmonization
Research Interests
Papers共 60 篇Author StatisticsCo-AuthorSimilar Experts
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ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)pp.7835-7839, (2024)
CoRR (2024): 5460-5464
CVPR 2023 (2023): 6409-6419
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)pp.1-5, (2023)
arxiv(2023)
Cited0Views0Bibtex
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0
CVPR 2023 (2023): 14663-14674
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)pp.1-5, (2023)
Sagnik Majumder,Hao Jiang,Pierre Moulon, Ethan Henderson,Paul Calamia,Kristen Grauman,Vamsi Krishna Ithapu
CVPR 2023 (2023): 10554-10564
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