Aaron Gokaslan
Scholar

Aaron Gokaslan

Google Scholar ID: Mt2wyL4AAAAJ
Cornell University
computer visiongraphicsdeep learningrobotics
Citations & Impact
All-time
Citations
7,360
 
H-index
30
 
i10-index
41
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Papers recognized and invited talks at top conferences including NeurIPS, ECCV, ICML, and CVPR; Mozilla RISE25 2024 honoree; Awards for open source contributions from the Linux Foundation and Mozilla; Maintains pybind11, PyTorch, and other popular open source libraries; Released OpenGPT2, one of the first 1 billion parameter+ auto-regression large language models; Contributed to the development of popular open source generative AI artifacts including OpenWebText, CommonCanvas, CommonCatalog, CommonPile, Habitat-Matterport3D, DataComp-LM, and BLOOM; Co-created the Responsible AI License (RAIL); Serves on the advisory board of EncodeJustice and Fidutam.
Research Experience
  • Worked at Facebook AI Research, advised by Dhruv Batra; Closely collaborates with James Grimmelmann, Noah Snavely, and Sasha Rush.
Education
  • Ph.D. Candidate: Cornell University, advised by Volodymyr Kuleshov; Master's and Bachelor's Degrees: Brown University, advised by James Tompkin.
Background
  • Research Interests: Identifying, designing, and building efficient, scalable, sustainable, and affordable abstractions and infrastructure for generative modeling research. Also works at the intersection of data, law, and AI policy.
Miscellany
  • Personal interests not mentioned; Work featured by WIRED, CNN, TechCrunch, and others; Currently on the academic and industry job market; Will be attending NeurIPS 2024 in Vancouver.
Co-authors
0 total
Co-authors: 0 (list not available)