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01/25/2023

Distributed Control of Partial Differential Equations Using Convolutional Reinforcement Learning

We present a convolutional framework which significantly reduces the com...
01/09/2023

Advances in Medical Image Analysis with Vision Transformers: A Comprehensive Review

The remarkable performance of the Transformer architecture in natural la...
01/30/2023

Curvature Filtrations for Graph Generative Model Evaluation

Graph generative model evaluation necessitates understanding differences...
01/19/2023

AtMan: Understanding Transformer Predictions Through Memory Efficient Attention Manipulation

Generative transformer models have become increasingly complex, with lar...
01/19/2023

Forecasting subcritical cylinder wakes with Fourier Neural Operators

We apply Fourier neural operators (FNOs), a state-of-the-art operator le...
01/19/2023

Learning ultrasound plane pose regression: assessing generalized pose coordinates in the fetal brain

In obstetric ultrasound (US) scanning, the learner's ability to mentally...
02/02/2023

Double Permutation Equivariance for Knowledge Graph Completion

This work provides a formalization of Knowledge Graphs (KGs) as a new cl...
01/18/2023

Semi-Supervised Semantic Segmentation via Gentle Teaching Assistant

Semi-Supervised Semantic Segmentation aims at training the segmentation ...
01/25/2023

Knowledge-augmented Graph Neural Networks with Concept-aware Attention for Adverse Drug Event Detection

Adverse drug events (ADEs) are an important aspect of drug safety. Vario...
01/12/2023

Asynchronous training of quantum reinforcement learning

The development of quantum machine learning (QML) has received a lot of ...
01/26/2023

A Benchmark Study by using various Machine Learning Models for Predicting Covid-19 trends

Machine learning and deep learning play vital roles in predicting diseas...