Mukul Bhutani

Carnegie Mellon University

H-index: 3

North America-United States

About Mukul Bhutani

Mukul Bhutani, With an exceptional h-index of 3 and a recent h-index of 3 (since 2020), a distinguished researcher at Carnegie Mellon University, specializes in the field of Machine Learning, Natural Language Processing.

His recent articles reflect a diverse array of research interests and contributions to the field:

SeeGULL Multilingual: a Dataset of Geo-Culturally Situated Stereotypes

Harm Amplification in Text-to-Image Models

Sinkhorn-Flow: Predicting Probability Mass Flow in Dynamical Systems Using Optimal Transport

An Empirical study to understand the Compositional Prowess of Neural Dialog Models

Distributed matrix decomposition using gossip

Mukul Bhutani Information

University	Carnegie Mellon University
Position	___
Citations(all)	56
Citations(since 2020)	53
Cited By	20
hIndex(all)	3
hIndex(since 2020)	3
i10Index(all)	3
i10Index(since 2020)	3
Email	Access Email
University Profile Page	Carnegie Mellon University
Google Scholar	View Google Scholar Profile

Mukul Bhutani Skills & Research Interests

Machine Learning

Natural Language Processing

Mukul Bhutani

Carnegie Mellon University

About Mukul Bhutani

Mukul Bhutani Information

Mukul Bhutani Skills & Research Interests

Top articles of Mukul Bhutani

SeeGULL Multilingual: a Dataset of Geo-Culturally Situated Stereotypes

Mukul Bhutani

Harm Amplification in Text-to-Image Models

Renee Shelby

Yuchi Liu

Mukul Bhutani

Sinkhorn-Flow: Predicting Probability Mass Flow in Dynamical Systems Using Optimal Transport

Mukul Bhutani

An Empirical study to understand the Compositional Prowess of Neural Dialog Models

Vinayshekhar Bannihatti Kumar

Vaibhav Kumar

Mukul Bhutani

Alexander Rudnicky

Distributed matrix decomposition using gossip

Co-Authors

Alan W Black

Alexander Rudnicky

Prakhar Gupta