Scholar
Abhinav Moudgil
Google Scholar ID: Y0mjNnEAAAAJ
Mila, Concordia University
Citations & Impact
Citations
268
H-index
5
i10-index
4
Publications
16
Co-authors
9
list available
Publications
Resume (English only)
Academic Achievements
- Published several papers including 'Celo: Training Versatile Learned Optimizers on a Compute Diet' and 'Accelerating Training with Neuron Interaction and Nowcasting Networks'; contributed to projects such as assayer and distributed-dtp; received J2C Certification (Top 10% in TMLR).
Research Experience
- Worked as a Visiting Scholar at Georgia Tech with Prof. Devi Parikh and Prof. Dhruv Batra, developing multi-modal embodied agents for navigation in photo-realistic environments using visual and language cues; part-time contractor at Meta Superintelligence Labs; involved in a project with Apple MLR on understanding input selectivity in Mamba.
Education
- Completed Bachelors and Masters in Electronics and Communication Engineering (ECE) from IIIT Hyderabad between 2013-2019, where he worked on long-term visual object tracking with Prof. Vineet Gandhi; spent semesters at UC San Diego and Stanford University in 2018, collaborating with Prof. Sicun Gao and Prof. Noah Goodman respectively; currently a PhD student at Mila and Concordia University.
Background
- CS PhD student, with research interests in multi-modal embodied agents, long-term visual object tracking, and reinforcement learning algorithms. Currently pursuing a PhD at Mila and Concordia University, advised by Prof. Eugene Belilovsky.
Miscellany
- Personal interests and hobbies not mentioned
