Learning Disentangled Representation in Latent Stochastic Models: A Case Study with Image Captioning. - Nidhi Vyas; Sai Krishna Rallabandi; Lalitesh Morishetti; Eduard H. Hovy; Alan W. Black (ICASSP, 2019)

Prospect-Net: Top-K Retrieval Problem Using Prospect Theory. - Reza Yousefi Maragheh; Ramin Giahi; Jianpeng Xu; Lalitesh Morishetti; Shanu Vashishtha; Kaushiki Nag; Jason H. D. Cho; Evren Körpeoglu; Sushant Kumar; Kannan Achan (IEEE Big Data, 2022)

Seller-side Outcome Fairness in Online Marketplaces. - Zikun Ye; Reza Yousefi Maragheh; Lalitesh Morishetti; Shanu Vashishtha; Jason Cho 001; Kaushiki Nag; Sushant Kumar; Kannan Achan (CoRR, 2023)

Improving Sequential Recommender Systems with Online and In-store User Behavior. - Luyi Ma; Aashika Padmanabhan; Anjana Ganesh; Shengwei Tang; Jiao Chen 005; Xiaohan Li 001; Lalitesh Morishetti; Kaushiki Nag; Malay Patel; Jason H. D. Cho; Sushant Kumar; Kannan Achan (IEEE Big Data, 2024)

Leveraging User-Generated Reviews for Recommender Systems with Dynamic Headers. - Shanu Vashishtha; Abhay Kumar; Lalitesh Morishetti; Kaushiki Nag; Kannan Achan (ECAI, 2024)

Chaining Text-to-Image and Large Language Model: A Novel Approach for Generating Personalized e-commerce Banners. - Shanu Vashishtha; Abhinav Prakash; Lalitesh Morishetti; Kaushiki Nag; Yokila Arora; Sushant Kumar; Kannan Achan (KDD, 2024)

GRACE: Generative Recommendation via Journey-Aware Sparse Attention on Chain-of-Thought Tokenization. - Luyi Ma; Wanjia Zhang; Kai Zhao; Abhishek Kulkarni; Lalitesh Morishetti; Anjana Ganesh; Ashish Ranjan; Aashika Padmanabhan; Jianpeng Xu; Jason Cho 001; Praveenkumar Kanumala; Kaushiki Nag; et al. (CoRR, 2025)

Personalized Product Search Ranking: A Multi-Task Learning Approach with Tabular and Non-Tabular Data. - Lalitesh Morishetti; Abhay Kumar; Jonathan Scott; Kaushiki Nag; Gunjan Sharma; Shanu Vashishtha; Rahul Sridhar; Rohit Chatter; Kannan Achan (CoRR, 2025)