Clicking on any of the links below will redirect you to the abstract and details of my contributions.
A Platform for Iterative Planning with Interactive Goal-Conflict Explanations.
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We formalize, implement and test on users an LLM-based conversational explanation interface for planning.
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We formalize and implement an LLM-based conversational explanation interface for planning.
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We challenge the prevailing narrative about how transformers learn linear functions in-context by exploring a simple controlled setup with synthetic data.
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We present a mathematical framework to systematically investigate neural dynamics in a hierarchical perceptual system with predictive coding.
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We study the asymptotic behavior of nonlocal bistable reaction-diffusion equations.
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A master’s internship report on influence functions for global explainability of deep neural networks.
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A university project for detecting dementia markers in multimodal language data.
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A university project review of a brain-inspired algorithm applied to deep neural networks.
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