Scholar
Mohammad Taufeeque
Google Scholar ID: OKO5dwcAAAAJ
Research Engineer at FAR AI
Citations & Impact
Citations
209
H-index
6
i10-index
4
Publications
10
Co-authors
7
list available
Publications
Resume (English only)
Academic Achievements
- Paper: 'Planning in a recurrent neural network that plays Sokoban', arXiv, 2024.
- Paper: 'Exploiting Novel GPT-4 APIs', arXiv, 2023.
- Paper: 'Codebook Features: Sparse and Discrete Interpretability for Neural Networks', arXiv, 2023.
- Paper: 'imitation: Clean Imitation Learning Implementations', arXiv, 2022.
- Paper: 'Fianchetto: Speed, Belief, Guile, Caution to Win at Reconnaissance Blind Chess', submitted to The Journal of Artificial Intelligence Research, 2022.
- Paper: 'The Second NeurIPS Tournament of Reconnaissance Blind Chess', In Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2022.
- Paper: 'Multi-camera, multi-person, and real-time fall detection using long short term memory', In Medical Imaging 2021: Imaging Informatics for Healthcare, Research, and Applications, 2021.
- Technical Report: 'Randomized POMDP Planning Algorithms', 2021.
Education
- Bachelor's degree in Computer Science from IIT Bombay, supervised by Prof. Shivaram Kalyanakrishnan.
Background
- Research Engineer, focusing on scalable approaches to mechanistic interpretability and adversarial robustness in AI Safety. Works at FAR.AI with Dr. Adam Gleave.
