Sameer Ambekar is a Ph.D. Student at the Technical University of Munich (TUM). He received his Masters in Artificial Intelligence (MSc AI) from the University of Amsterdam (UvA), Netherlands. For his Master’s thesis (48 ECTS), he worked on ‘Test-Time Adaptation for Domain Generalization by generating models and labels through Variational meta-learning’ at the AIM Lab, UvA. Prior to his master’s, he worked as a Research Assistant (RA) at IIT Delhi (IITD) to address Unsupervised Domain Adaptation through methods such as Variational generative latent search. He is interested in solving problems in unsupervised learning through methods such as meta-learning and variational inference alongside learning efficient and transferable features.

  • Domain Generalization
  • Meta Learning
  • Variational Inference
  • M.Sc. in Artificial Intelligence (MSc AI), 2023

    University of Amsterdam, Netherlands

  • B.E. in Computer Science, 2018

    VTU, India

Student Projects & Theses
  • tba. Stay tuned on website -

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