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Resources

Open-source code, datasets, and tools for advancing machine learning and computer vision research.

Explore our curated collection of research artifacts, including reproducible code, pre-trained models, and benchmark datasets—freely available to support collaboration and innovation in the broader research community.

Selected Tutorials

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Sparse Neural Networks (2023)

From Practice to Theory

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Low Rank Strikes Back (2025)

In Modern Foundation Models

Open Calls for Papers/Participation

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NeurIPS MindGames Challenge: Theory-of-Mind and Game Intelligence in LLM Agents, Dec 2025

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ICCV Tutorial "Learning Nonlinear Low-Dimensional Representations from High-Dimensional Data: From Theory to Practice", Oct 2025

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NeurIPS Workshop on Generative AI in Finance, Dec 2025

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ICCV Workshop on Curated Data for Efficient Learning, Oct 2025​​​

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VITA In the Press (selected)

Datasets

Courses

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At TAMU

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