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eess.IV2023
Towards a geometric understanding of Spatio Temporal Graph Convolution Networks
Pratyusha Das, Sarath Shekkizhar, Antonio Ortega
Spatiotemporal graph convolutional networks (STGCNs) have emerged as a desirable model for skeleton-based human action recognition. Despite achieving state-of-the-art performance,…
cs.AI2023★ 2 cited
Characterizing Large Language Model Geometry Helps Solve Toxicity Detection and Generation
Randall Balestriero, Romain Cosentino, Sarath Shekkizhar
Large Language Models (LLMs) drive current AI breakthroughs despite very little being known about their internal representations. In this work, we propose to shed the light on LLMs…