1. An Empirical study to understand the Compositional Prowess of Neural Dialog Models
    Vinayshekhar Kumar, Vaibhav Kumar, Mukul Bhutani, and Alexander Rudnicky
    In Proceedings of the Third Workshop on Insights from Negative Results in NLP, May 2022


  1. Sinkhorn-Flow: Predicting Probability Mass Flow in Dynamical Systems Using Optimal Transport
    Mukul Bhutani, and J. Zico Kolter
    Optimal Transport Workshop, NeurIPS, May 2019
  2. WriterForcing: Generating more interesting story endings
    Prakhar Gupta, Vinayshekhar Bannihatti Kumar, Mukul Bhutani, and Alan W Black
    In Proceedings of the Second Workshop on Storytelling, Aug 2019


  1. Low-rank geometric mean metric learning
    Mukul Bhutani, Pratik Jawanpuria, Hiroyuki Kasai, and Bamdev Mishra
    Geometry in Machine Learning (GiMLi) workshop, ICML , Aug 2018


  1. MRNet-Product2Vec: A Multi-task Recurrent Neural Network for Product Embeddings
    Arijit Biswas, Mukul Bhutani, and Subhajit Sanyal
    In ECML PKDD, Aug 2017
  2. A two-dimensional decomposition approach for matrix completion through gossip
    Mukul Bhutani, and Bamdev Mishra
    Emergent Communication Workshop, NeurIPS , Aug 2017