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David Poeppel

2 accepted papers

2025

Multimodal Machine Learning Can Predict Videoconference Fluidity and Enjoyment

ICASSP 2025accepted

Videoconferencing is now a frequent mode of communication in both professional and informal settings, yet it often lacks the fluidity and enjoyment of in-person conversation. This study leverages multimodal machine learning to predict moments of negative experience in videoconferencing. We sampled t…

Cited by 0SourceScholar
2024

Position: An Inner Interpretability Framework for AI Inspired by Lessons from Cognitive Neuroscience

ICML 2024poster

Inner Interpretability is a promising emerging field tasked with uncovering the inner mechanisms of AI systems, though how to develop these mechanistic theories is still much debated. Moreover, recent critiques raise issues that question its usefulness to advance the broader goals of AI. However, it…

Cited by 4SourcePDFScholar