Preetam Dammu

PhD Student, University of Washington, Seattle.

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Hello there! I am a second-year PhD student at the University of Washington, Seattle. I am interested in exploring ways to make machine learning solutions more robust, explainable, and scalable. I am fortunate to be advised by Prof. Chirag Shah.

Before starting my PhD, I was a researcher at TCS Research, where I worked on explainability and robustness in machine learning. During my Master’s, advised by Prof. Bapi Raju, I applied machine learning to solve problems in Neuroscience.

My current research interests lie in leveraging Generative AI for downstream tasks, and addressing technological issues associated with its adoption.

News

Mar 8, 2024 New paper from Amazon internship accepted at WebConf 2024!
Nov 6, 2023 New paper accepted at NeurIPS 2023, XAIA Workshop!
Jun 12, 2023 Started internship at Amazon as Applied Scientist II
May 22, 2023 New paper accepted at IJCAI 2023!

Selected Publications

  1. Neurips_XAIA.png
    Detecting Spurious Correlations via Robust Visual Concepts in Real and AI-Generated Image Classification
    Preetam Prabhu Srikar Dammu, and Chirag Shah
    In 37th Conference on Neural Information Processing Systems (NeurIPS), XAIA Workshop, 2023
  2. Dammu2023AddressingWD.png
    Addressing Weak Decision Boundaries in Image Classification by Leveraging Web Search and Generative Models
    Preetam Prabhu Srikar Dammu, Yunhe Feng, and Chirag Shah
    In International Joint Conference on Artificial Intelligence, 2023