Mohammad Taufeeque

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I am a research engineer at FAR AI working with Dr. Adam Gleave on research projects focusing on AI Safety. I am interested in scalable approaches to mechanistic interpretability and adversarial robustness.

I graduated with a bachelors in Computer Science from IIT Bombay. For my bachelors thesis, I worked with Prof. Shivaram Kalyanakrishnan to build Fianchetto, an AI agent for the game of Reconnaissance Blind Chess that won the NeurIPS 2021 competition on RBC.

I have also interned at Microsoft Research to work on incorporating phrasal rules with LLMs on-the-fly with Prof. Sunita Sarawagi and Dr. Sriram Rajamani. In the summer of 2020, I interned at the PLRI lab of Technical University of Braunschweig, Germany to work with Prof. Thomas Deserno on human fall detection.


Publications

  1. Exploiting Novel GPT-4 APIs
    Kellin Pelrine*Mohammad Taufeeque*Michał ZającEuan McLean, and Adam Gleave
    arXiv, 2023
  2. Codebook Features: Sparse and Discrete Interpretability for Neural Networks
    Alex TamkinMohammad Taufeeque, and Noah D. Goodman
    arXiv, 2023
  3. imitation: Clean Imitation Learning Implementations
    arXiv, 2022
  4. Fianchetto: Speed, Belief, Guile, Caution to Win at Reconnaissance Blind Chess
    Mohammad Taufeeque*, Nitish Tongia*, and Shivaram Kalyanakrishnan
    submitted to The Journal of Artificial Intelligence Research, 2022
  5. The Second NeurIPS Tournament of Reconnaissance Blind Chess
    Gino PerrottaRyan W. GardnerCorey LowmanMohammad Taufeeque, Nitish Tongia, Shivaram KalyanakrishnanGregory Clark, Kevin Wang, Eitan Rothberg, Brady P. Garrison, and 3 more authors
    In Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2022
  6. Multi-camera, multi-person, and real-time fall detection using long short term memory
    Mohammad Taufeeque*Samad Koita*Nicolai Spicher, and Thomas M. Deserno
    In Medical Imaging 2021: Imaging Informatics for Healthcare, Research, and Applications, 2021
  7. Randomized POMDP Planning Algorithms
    Mohammad Taufeeque, and Shivaram Kalyanakrishnan
    Technical Report, 2021