Scholar
Vaibhav Saxena
Google Scholar ID: J9xMyxMAAAAJ
Ph.D. in ML at Georgia Institute of Technology
Citations & Impact
Citations
155
H-index
5
i10-index
3
Publications
9
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Paper 'MimicLabs' accepted at ICLR 2025; paper 'C3DM: Constrained-Context Conditional Diffusion Models for Imitation Learning' accepted at TMLR 2024; paper 'Generalizable Pose Estimation using Implicit Scene Representations' accepted at ICRA 2023; presented paper 'Guiding Exploration Towards Impactful Actions' at the Deep RL Workshop in NeurIPS 2022; paper 'Clockwork Variational Autoencoders' featured at NeurIPS 2021.
Research Experience
- Served as a Research Intern at Autodesk Research; conducted research at the Robot Learning and Reasoning Lab (RL2).
Education
- Graduated with a Master of Science in Applied Computing from the Department of Computer Science, University of Toronto in 2019, advised by Prof. Jimmy Ba and Prof. Frank Rudzicz, and worked closely with Danijar Hafner; currently a Ph.D. student in Machine Learning at Georgia Tech, working under the direction of Prof. Danfei Xu.
Background
- Research interests include generative models for computer vision, memory, and decision-making. Currently focused on building generalizable robot policies using minimal expert demonstrations.
Miscellany
- Reviewer for multiple machine learning and robotics conferences and journals, including NeurIPS, ICML, ICLR, CoRL, RSS, RA-L, TMLR, etc.
Co-authors