Search Results for author: Lucas Teixeira

Found 3 papers, 1 papers with code

Exact Learning Dynamics of In-Context Learning in Linear Transformers and Its Application to Non-Linear Transformers

no code implementations17 Apr 2025 Nischal Mainali, Lucas Teixeira

Transformer models exhibit remarkable in-context learning (ICL), adapting to novel tasks from examples within their context, yet the underlying mechanisms remain largely mysterious.

In-Context Learning

Transformers represent belief state geometry in their residual stream

no code implementations24 May 2024 Adam S. Shai, Sarah E. Marzen, Lucas Teixeira, Alexander Gietelink Oldenziel, Paul M. Riechers

What computational structure are we building into large language models when we train them on next-token prediction?

Prediction

Aerial Single-View Depth Completion with Image-Guided Uncertainty Estimation

2 code implementations17 Jan 2020 Lucas Teixeira, Martin R. Oswald, Marc Pollefeys, Margarita Chli

In this paper, we propose a depth completion and uncertainty estimation approach that better handles the challenges of aerial platforms, such as large viewpoint and depth variations, and limited computing resources.

Depth Completion Monocular Depth Estimation +1

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