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N. Kalibhat

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG2

identity via Semantic Scholar / OpenAlex

most citedUnderstanding Overparameterization in Generative Adversarial Networks

12 citations · 12 across the 1 of their papers we have counts for

collaborators

2 papers

cs.LG2021★ 12 cited

Understanding Overparameterization in Generative Adversarial Networks

Yogesh Balaji, Mohammadmahdi Sajedi, Neha Mukund Kalibhat +4

A broad class of unsupervised deep learning methods such as Generative Adversarial Networks (GANs) involve training of overparameterized models where the number of parameters of th…

cs.LG2020

Winning Lottery Tickets in Deep Generative Models

Neha Mukund Kalibhat, Yogesh Balaji, Soheil Feizi

The lottery ticket hypothesis suggests that sparse, sub-networks of a given neural network, if initialized properly, can be trained to reach comparable or even better performance t…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.