10 citations · 11 across the 7 of their papers we have counts for
8 papers
Going PLACES: Participatory Localized Red Teaming for Text-to-Image Safety in the Global South
Charvi Rastogi, Mukul Bhutani, Minsuk Kahng +13
Despite the global deployment of text-to-image (T2I) models, their safety frameworks are largely calibrated to a Western-centric default, creating significant vulnerabilities for t…
SeeGULL Multilingual: a Dataset of Geo-Culturally Situated Stereotypes
Mukul Bhutani, Kevin Robinson, Vinodkumar Prabhakaran +2
While generative multilingual models are rapidly being deployed, their safety and fairness evaluations are largely limited to resources collected in English. This is especially pro…
Harm Amplification in Text-to-Image Models
Susan Hao, Renee Shelby, Yuchi Liu +6
Text-to-image (T2I) models have emerged as a significant advancement in generative AI; however, there exist safety concerns regarding their potential to produce harmful image outpu…
Sinkhorn-Flow: Predicting Probability Mass Flow in Dynamical Systems Using Optimal Transport
Mukul Bhutani, J. Zico Kolter
Predicting how distributions over discrete variables vary over time is a common task in time series forecasting. But whereas most approaches focus on merely predicting the distribu…
WriterForcing: Generating more interesting story endings
Prakhar Gupta, Vinayshekhar Bannihatti Kumar, Mukul Bhutani +1
We study the problem of generating interesting endings for stories. Neural generative models have shown promising results for various text generation problems. Sequence to Sequence…
Low-rank geometric mean metric learning
Mukul Bhutani, Pratik Jawanpuria, Hiroyuki Kasai +1
We propose a low-rank approach to learning a Mahalanobis metric from data. Inspired by the recent geometric mean metric learning (GMML) algorithm, we propose a low-rank variant of…
A two-dimensional decomposition approach for matrix completion through gossip
Mukul Bhutani, Bamdev Mishra
Factoring a matrix into two low rank matrices is at the heart of many problems. The problem of matrix completion especially uses it to decompose a sparse matrix into two non sparse…
MRNet-Product2Vec: A Multi-task Recurrent Neural Network for Product Embeddings
Arijit Biswas, Mukul Bhutani, Subhajit Sanyal
E-commerce websites such as Amazon, Alibaba, Flipkart, and Walmart sell billions of products. Machine learning (ML) algorithms involving products are often used to improve the cust…