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Christopher J. MacLellan

4 accepted papers

2026

AI Unplugged: Embodied Interactions for AI Literacy in Higher Education

AAAI 2026technical

As artificial intelligence (AI) becomes increasingly integrated into daily life, higher education must move beyond code-centric instruction to foster holistic AI literacy. We present a novel pedagogical approach that integrates embodied, unplugged activities into a university-level Introduction to A

Cited by 0SourcePDFScholar
2026

Avoid Catastrophic Forgetting with Rank-1 Fisher from Diffusion Models

ICLR 2026poster

Catastrophic forgetting remains a central obstacle for continual learning in neural models. Popular approaches---replay and elastic weight consolidation (EWC)---have limitations: replay requires a strong generator and is prone to distributional drift, while EWC implicitly assumes a shared optimum ac…

Cited by 4SourceScholar
2025

Deep Taxonomic Networks for Unsupervised Hierarchical Prototype Discovery

NeurIPS 2025poster

Inspired by the human ability to learn and organize knowledge into hierarchical taxonomies with prototypes, this paper addresses key limitations in current deep hierarchical clustering methods. Existing methods often tie the structure to the number of classes and underutilize the rich prototype inf…

Cited by 0SourceScholar
2023

MobilePTX: Sparse Coding for Pneumothorax Detection Given Limited Training Examples

AAAI 2023technical

Point-of-Care Ultrasound (POCUS) refers to clinician-performed and interpreted ultrasonography at the patient's bedside. Interpreting these images requires a high level of expertise, which may not be available during emergencies. In this paper, we support POCUS by developing classifiers that can aid…

Cited by 6SourcePDFScholar