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07/26/2023
Learning to simulate partially known spatio-temporal dynamics with trainable difference operators
Recently, using neural networks to simulate spatio-temporal dynamics has...
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06/26/2023
Analysis of the Decoder Width for Parametric Partial Differential Equations
Recently, Meta-Auto-Decoder (MAD) was proposed as a novel reduced order ...
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03/14/2023
Adaptive Rotated Convolution for Rotated Object Detection
Rotated object detection aims to identify and locate objects in images w...
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03/09/2023
Retinal Image Segmentation with Small Datasets
Many eye diseases like Diabetic Macular Edema (DME), Age-related Macular...
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02/25/2023
nnUNet RASPP for Retinal OCT Fluid Detection, Segmentation and Generalisation over Variations of Data Sources
Retinal Optical Coherence Tomography (OCT), a noninvasive cross-sectiona...
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02/18/2023
Solving Boltzmann equation with neural sparse representation
We consider the neural sparse representation to solve Boltzmann equation...
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01/31/2023
Company-as-Tribe: Company Financial Risk Assessment on Tribe-Style Graph with Hierarchical Graph Neural Networks
Company financial risk is ubiquitous and early risk assessment for liste...
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08/20/2022
Few-Shot Learning of Accurate Folding Landscape for Protein Structure Prediction
Data-driven predictive methods which can efficiently and accurately tran...
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06/24/2022
PSP: Million-level Protein Sequence Dataset for Protein Structure Prediction
Proteins are essential component of human life and their structures are ...
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12/24/2020
AsymptoticNG: A regularized natural gradient optimization algorithm with look-ahead strategy
Optimizers that further adjust the scale of gradient, such as Adam, Natu...
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11/30/2020
A CRF-based Framework for Tracklet Inactivation in Online Multi-Object Tracking
Online multi-object tracking (MOT) is an active research topic in the do...
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11/27/2020
Eigenvalue-corrected Natural Gradient Based on a New Approximation
Using second-order optimization methods for training deep neural network...
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11/21/2020
