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08/23/2023
Performance Comparison of Design Optimization and Deep Learning-based Inverse Design
Surrogate model-based optimization has been increasingly used in the fie...
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07/27/2023
BubbleML: A Multi-Physics Dataset and Benchmarks for Machine Learning
In the field of phase change phenomena, the lack of accessible and diver...
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10/27/2022
Learning Joint Representation of Human Motion and Language
In this work, we present MoLang (a Motion-Language connecting model) for...
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09/01/2022
FLAME: Free-form Language-based Motion Synthesis Editing
Text-based motion generation models are drawing a surge of interest for ...
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07/13/2022
Simulation-guided Beam Search for Neural Combinatorial Optimization
Neural approaches for combinatorial optimization (CO) equip a learning m...
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02/09/2022
Conditional Motion In-betweening
Motion in-betweening (MIB) is a process of generating intermediate skele...
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03/25/2020
VaB-AL: Incorporating Class Imbalance and Difficulty with Variational Bayes for Active Learning
Active Learning for discriminative models has largely been studied with ...
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09/19/2019
Summary Level Training of Sentence Rewriting for Abstractive Summarization
As an attempt to combine extractive and abstractive summarization, Sente...
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08/11/2018