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02/03/2023
Xtal2DoS: Attention-based Crystal to Sequence Learning for Density of States Prediction
Modern machine learning techniques have been extensively applied to mate...
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09/24/2022
Deep Attentive Belief Propagation: Integrating Reasoning and Learning for Solving Constraint Optimization Problems
Belief Propagation (BP) is an important message-passing algorithm for va...
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12/08/2021
Pretrained Cost Model for Distributed Constraint Optimization Problems
Distributed Constraint Optimization Problems (DCOPs) are an important su...
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12/02/2021
Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification
Multi-label classification (MLC) is a prediction task where each sample ...
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06/04/2021
Materials Representation and Transfer Learning for Multi-Property Prediction
The adoption of machine learning in materials science has rapidly transf...
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03/09/2021
HOT-VAE: Learning High-Order Label Correlation for Multi-Label Classification via Attention-Based Variational Autoencoders
Understanding how environmental characteristics affect bio-diversity pat...
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10/30/2020
Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation
A key problem in computational sustainability is to understand the distr...
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07/12/2020
Disentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit Model
Multi-label classification is the challenging task of predicting the pre...
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11/22/2017
Multiagent Simple Temporal Problem: The Arc-Consistency Approach
The Simple Temporal Problem (STP) is a fundamental temporal reasoning pr...
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08/18/2017
