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08/12/2023
Towards Exascale Computation for Turbomachinery Flows
A state-of-the-art large eddy simulation code has been developed to solv...
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08/06/2023
Prototypes-oriented Transductive Few-shot Learning with Conditional Transport
Transductive Few-Shot Learning (TFSL) has recently attracted increasing ...
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01/30/2023
Near Optimal Private and Robust Linear Regression
We study the canonical statistical estimation problem of linear regressi...
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01/16/2023
Machine Learning-Aided Efficient Decoding of Reed-Muller Subcodes
Reed-Muller (RM) codes achieve the capacity of general binary-input memo...
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05/27/2022
DP-PCA: Statistically Optimal and Differentially Private PCA
We study the canonical statistical task of computing the principal compo...
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11/12/2021
Differential privacy and robust statistics in high dimensions
We introduce a universal framework for characterizing the statistical ef...
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08/29/2021
KO codes: Inventing Nonlinear Encoding and Decoding for Reliable Wireless Communication via Deep-learning
Landmark codes underpin reliable physical layer communication, e.g., Ree...
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02/18/2021
Robust and Differentially Private Mean Estimation
Differential privacy has emerged as a standard requirement in a variety ...
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02/02/2021
Reed-Muller Subcodes: Machine Learning-Aided Design of Efficient Soft Recursive Decoding
Reed-Muller (RM) codes are conjectured to achieve the capacity of any bi...
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09/11/2020
MACE: A Flexible Framework for Membership Privacy Estimation in Generative Models
Generative models are widely used for publishing synthetic datasets. Des...
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05/12/2020
Adaptive Mixture Regression Network with Local Counting Map for Crowd Counting
The crowd counting task aims at estimating the number of people located ...
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05/24/2019
