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09/11/2023
Predicting the Radiation Field of Molecular Clouds using Denoising Diffusion Probabilistic Models
Accurately quantifying the impact of radiation feedback in star formatio...
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04/23/2023
An Order-Complexity Model for Aesthetic Quality Assessment of Homophony Music Performance
Although computational aesthetics evaluation has made certain achievemen...
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04/04/2023
Denoising Diffusion Probabilistic Models to Predict the Density of Molecular Clouds
We introduce the state-of-the-art deep learning Denoising Diffusion Prob...
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01/14/2023
An Order-Complexity Model for Aesthetic Quality Assessment of Symbolic Homophony Music Scores
Computational aesthetics evaluation has made great achievements in the f...
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01/08/2023
Automatic Diagnosis of Carotid Atherosclerosis Using a Portable Freehand 3D Ultrasound Imaging System
Objective: The objective of this study is to develop a deep-learning bas...
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04/07/2022
A Framework for Following Temporal Logic Instructions with Unknown Causal Dependencies
Teaching a deep reinforcement learning (RL) agent to follow instructions...
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06/21/2021
Interpretable Model-based Hierarchical Reinforcement Learning using Inductive Logic Programming
Recently deep reinforcement learning has achieved tremendous success in ...
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03/22/2021
Improving Actor-Critic Reinforcement Learning via Hamiltonian Policy
Approximating optimal policies in reinforcement learning (RL) is often n...
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06/30/2020
Accelerating Reinforcement Learning Agent with EEG-based Implicit Human Feedback
Providing Reinforcement Learning (RL) agents with human feedback can dra...
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01/03/2019