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09/07/2022
Quantitative probing: Validating causal models using quantitative domain knowledge
We present quantitative probing as a model-agnostic framework for valida...
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12/08/2021
Modeling Spatio-Temporal Dynamics in Brain Networks: A Comparison of Graph Neural Network Architectures
Comprehending the interplay between spatial and temporal characteristics...
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10/14/2020
A Graph Neural Network Framework for Causal Inference in Brain Networks
A central question in neuroscience is how self-organizing dynamic intera...
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10/09/2020
Parameterized Reinforcement Learning for Optical System Optimization
Designing a multi-layer optical system with designated optical character...
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07/03/2020
Learning intuitive physics and one-shot imitation using state-action-prediction self-organizing maps
Human learning and intelligence work differently from the supervised pat...
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11/26/2019
Electricity Load Forecasting – An Evaluation of Simple 1D-CNN Network Structures
This paper presents a convolutional neural network (CNN) which can be us...
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03/22/2019