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06/03/2023
Exploring the Optimal Choice for Generative Processes in Diffusion Models: Ordinary vs Stochastic Differential Equations
The diffusion model has shown remarkable success in computer vision, but...
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04/14/2023
The Random Feature Method for Time-dependent Problems
We present a framework for solving time-dependent partial differential e...
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09/04/2018
Geometric Operator Convolutional Neural Network
The Convolutional Neural Network (CNN) has been successfully applied in ...
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08/12/2018
Architectural Techniques for Improving NAND Flash Memory Reliability
Raw bit errors are common in NAND flash memory and will increase in the ...
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07/13/2018
Improving 3D NAND Flash Memory Lifetime by Tolerating Early Retention Loss and Process Variation
Compared to planar (i.e., two-dimensional) NAND flash memory, 3D NAND fl...
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05/08/2018
Characterizing, Exploiting, and Mitigating Vulnerabilities in MLC NAND Flash Memory Programming
This paper summarizes our work on experimentally analyzing, exploiting, ...
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05/08/2018
Read Disturb Errors in MLC NAND Flash Memory
This paper summarizes our work on experimentally characterizing, mitigat...
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05/08/2018
Experimental Characterization, Optimization, and Recovery of Data Retention Errors in MLC NAND Flash Memory
This paper summarizes our work on experimentally characterizing, mitigat...
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05/07/2018
RowClone: Accelerating Data Movement and Initialization Using DRAM
In existing systems, to perform any bulk data movement operation (copy o...
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11/28/2017
Errors in Flash-Memory-Based Solid-State Drives: Analysis, Mitigation, and Recovery
NAND flash memory is ubiquitous in everyday life today because its capac...
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06/27/2017
Using ECC DRAM to Adaptively Increase Memory Capacity
Modern DRAM modules are often equipped with hardware error correction ca...
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06/27/2017
Error Characterization, Mitigation, and Recovery in Flash Memory Based Solid-State Drives
NAND flash memory is ubiquitous in everyday life today because its capac...
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03/15/2017
