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09/17/2023
Energy stable neural network for gradient flow equations
In this paper, we propose an energy stable network (EStable-Net) for sol...
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08/20/2023
Large Transformers are Better EEG Learners
Pre-trained large transformer models have achieved remarkable performanc...
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12/11/2022
DOSnet as a Non-Black-Box PDE Solver: When Deep Learning Meets Operator Splitting
Deep neural networks (DNNs) recently emerged as a promising tool for ana...
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10/07/2022
GOLLIC: Learning Global Context beyond Patches for Lossless High-Resolution Image Compression
Neural-network-based approaches recently emerged in the field of data co...
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06/05/2021
Feature Flow Regularization: Improving Structured Sparsity in Deep Neural Networks
Pruning is a model compression method that removes redundant parameters ...
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07/06/2020
