Deep Generative Modeling
Eligible: Undergraduate and Masters students
Mentor: Amir Zadeh
Description: Generative modeling is an active area of research in deep learning. We are looking for students who are ready to be involved in this research area using our new model called “Variational Auto Decoder (VAD)”. The contributions in this area will be very impactful for generative modeling and machine learning communities. We are also interested in extending the VAD model to multimodal scenarios.
Skills/Experience: This position is open for Masters and undergraduate students with knowledge of machine learning, and knowledge of pytorch or tensorflow.
Contact: Interested students should send an email to Amir Zadeh with their CV and description of their experience.