'Latent Space Topology', 'Persistent Homology', 'Disconnected Manifolds', 'Generative Adversarial Networks'
Scared? Excited? Curious to find out the meaning of the above terms? Don't worry, our speaker, Adrish Dey, who is a Google Summer of Code scholar and a topological data analysis research enthusiast, is ready to explain those intimidating terms in an easy and fun way. Come and join the voyage on 5 December 2020 at 5:00 PM IST.
Adrish Dey is a fourth-year CSE undergrad and a Topological data analysis research enthusiast. He is also an open-source enthusiast and GSoC '19 scholar. His spotlight workshop is "Topo sampler: A Topology Constrained Noise Sampling for GANs." With a research interest in Topological Data Analysis, Generative Models, Manifold Learning, Variational Methods, and Learning Theory, Adrish has worked…
Adrish Dey is a fourth-year CSE undergrad and a Topological data analysis research enthusiast. He is also an open-source enthusiast and GSoC '19 scholar. His spotlight workshop is "Topo sampler: A Topology Constrained Noise Sampling for GANs." With a research interest in Topological Data Analysis, Generative Models, Manifold Learning, Variational Methods, and Learning Theory, Adrish has worked in Independent Research, Opaltech.ai, and Rephrase.ai.
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