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Gabriel Terejanu

CGLearn: Consistent Gradient-Based Learning for Out-of-Distribution Generalization

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Nov 09, 2024
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Two-Stage Stance Labeling: User-Hashtag Heuristics with Graph Neural Networks

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Apr 16, 2024
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Evaluation of Induced Expert Knowledge in Causal Structure Learning by NOTEARS

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Jan 04, 2023
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Machine Fault Classification using Hamiltonian Neural Networks

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Jan 04, 2023
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From Causal Pairs to Causal Graphs

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Nov 08, 2022
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Explainable Deep Modeling of Tabular Data using TableGraphNet

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Feb 12, 2020
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Approximate Sampling using an Accelerated Metropolis-Hastings based on Bayesian Optimization and Gaussian Processes

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Oct 21, 2019
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A Multiple Filter Based Neural Network Approach to the Extrapolation of Adsorption Energies on Metal Surfaces for Catalysis Applications

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Oct 01, 2019
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An Approximate Bayesian Long Short-Term Memory Algorithm for Outlier Detection

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Dec 23, 2017
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Environmental Modeling Framework using Stacked Gaussian Processes

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Jun 18, 2017
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