publications

2024

1. 

   Provable Length Generalization in Sequence Prediction via Spectral Filtering

   arXiv preprint, 2024

   Bib HTML

   @article{lengthgen,
     journal = {arXiv preprint},
     title = {Provable Length Generalization in Sequence Prediction via Spectral Filtering},
     year = {2024},
   }

2. 

   FutureFill: Fast Generation from Convolutional Sequence Models

   arXiv preprint, 2024

   Bib HTML

   @article{futurefill,
     journal = {arXiv preprint},
     title = {FutureFill: Fast Generation from Convolutional Sequence Models},
     year = {2024},
   }

3. 

   Flash STU: Fast Spectral Transform Units

   arXiv preprint, 2024

   Bib HTML Code

   @article{flashstu,
     journal = {arXiv preprint},
     title = {Flash STU: Fast Spectral Transform Units},
     year = {2024},
   }

4. Nonconvex Meta-optimization for Deep Learning

   HiLD 2024: 2nd Workshop on High-dimensional Learning Dynamics, 2024

   Bib HTML Code

   @article{metaopt,
     journal = {HiLD 2024: 2nd Workshop on High-dimensional Learning Dynamics},
     title = {Nonconvex Meta-optimization for Deep Learning},
     year = {2024},
   }

2023

1. Robust Streaming, Sampling, and a Perspective on Online Learning

   arXiv preprint, 2023

   Bib HTML

   @article{robuststreaming,
     journal = {arXiv preprint},
     title = {Robust Streaming, Sampling, and a Perspective on Online Learning},
     year = {2023},
   }

2. 

   How MagNet: Machine Learning Framework for Modeling Power Magnetic Material Characteristics

   IEEE Transactions on Power Electronics, 2023

   Bib HTML

   @article{howmagnet,
     journal = {IEEE Transactions on Power Electronics},
     title = {How MagNet: Machine Learning Framework for Modeling Power Magnetic Material Characteristics},
     year = {2023},
     volume = {38},
     number = {12},
     pages = {15829-15853},
     doi = {10.1109/TPEL.2023.3309232},
   }

2022

1. 

   MagNet: An Open-Source Database for Data-Driven Magnetic Core Loss Modeling

   2022 IEEE Applied Power Electronics Conference and Exposition (APEC), 2022

   Bib HTML

   @article{magnet,
     journal = {2022 IEEE Applied Power Electronics Conference and Exposition (APEC)},
     title = {MagNet: An Open-Source Database for Data-Driven Magnetic Core Loss Modeling},
     year = {2022},
     volume = {},
     number = {},
     pages = {588-595},
     doi = {10.1109/APEC43599.2022.9773372},
     url = {https://mag-net.princeton.edu},
   }

2021

1. 

   Transfer Learning Methods for Magnetic Core Loss Modeling

   2021 IEEE 22nd Workshop on Control and Modelling of Power Electronics (COMPEL), 2021

   Bib HTML

   @article{transferlearning,
     journal = {2021 IEEE 22nd Workshop on Control and Modelling of Power Electronics (COMPEL)},
     title = {Transfer Learning Methods for Magnetic Core Loss Modeling},
     year = {2021},
     volume = {},
     number = {},
     pages = {1-6},
     doi = {10.1109/COMPEL52922.2021.9646065},
   }