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09/04/2023
Differentiable Bayesian Structure Learning with Acyclicity Assurance
Score-based approaches in the structure learning task are thriving becau...
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07/16/2023
Heteroscedastic Causal Structure Learning
Heretofore, learning the directed acyclic graphs (DAGs) that encode the ...
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11/20/2022
Diffeomorphic Information Neural Estimation
Mutual Information (MI) and Conditional Mutual Information (CMI) are mul...
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09/04/2022
Conditional Independence Testing via Latent Representation Learning
Detecting conditional independencies plays a key role in several statist...
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07/25/2022
Efficient Classification with Counterfactual Reasoning and Active Learning
Data augmentation is one of the most successful techniques to improve th...
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02/14/2022
Learning to Discover Medicines
Discovering new medicines is the hallmark of human endeavor to live a be...
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03/24/2021
Counterfactual Explanation with Multi-Agent Reinforcement Learning for Drug Target Prediction
Motivation: Several accurate deep learning models have been proposed to ...
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09/25/2020
GEFA: Early Fusion Approach in Drug-Target Affinity Prediction
Predicting the interaction between a compound and a target is crucial fo...
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04/28/2020
Deep Auto-Encoders with Sequential Learning for Multimodal Dimensional Emotion Recognition
Multimodal dimensional emotion recognition has drawn a great attention f...
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07/26/2018
Variational Memory Encoder-Decoder
Introducing variability while maintaining coherence is a core task in le...
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04/01/2018
