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Michael C. Hughes

Dept. of Computer Science, Tufts University

Using machine learning to measure evidence of students' sensemaking in physics courses

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Mar 19, 2025
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Decision-aware training of spatiotemporal forecasting models

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Mar 07, 2025
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Learning Hyperparameters via a Data-Emphasized Variational Objective

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Feb 03, 2025
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Learning the Regularization Strength for Deep Fine-Tuning via a Data-Emphasized Variational Objective

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Oct 25, 2024
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Transfer Learning with Informative Priors: Simple Baselines Better than Previously Reported

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May 24, 2024
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InterLUDE: Interactions between Labeled and Unlabeled Data to Enhance Semi-Supervised Learning

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Mar 15, 2024
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Semi-Supervised Multimodal Multi-Instance Learning for Aortic Stenosis Diagnosis

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Mar 09, 2024
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Discovering group dynamics in synchronous time series via hierarchical recurrent switching-state models

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Jan 26, 2024
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A Probabilistic Method to Predict Classifier Accuracy on Larger Datasets given Small Pilot Data

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Nov 29, 2023
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SINCERE: Supervised Information Noise-Contrastive Estimation REvisited

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Sep 25, 2023
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