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Lalitesh Morishetti
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2020 – today
- 2024
- [c4]Shanu Vashishtha, Abhay Kumar, Lalitesh Morishetti, Kaushiki Nag, Kannan Achan:
Leveraging User-Generated Reviews for Recommender Systems with Dynamic Headers. ECAI 2024: 4734-4740 - [c3]Shanu Vashishtha, Abhinav Prakash, Lalitesh Morishetti, Kaushiki Nag, Yokila Arora, Sushant Kumar, Kannan Achan:
Chaining Text-to-Image and Large Language Model: A Novel Approach for Generating Personalized e-commerce Banners. KDD 2024: 5825-5835 - [i3]Shanu Vashishtha, Abhinav Prakash, Lalitesh Morishetti, Kaushiki Nag, Yokila Arora, Sushant Kumar, Kannan Achan:
Chaining text-to-image and large language model: A novel approach for generating personalized e-commerce banners. CoRR abs/2403.05578 (2024) - [i2]Shanu Vashishtha, Abhay Kumar, Lalitesh Morishetti, Kaushiki Nag, Kannan Achan:
Leveraging User-Generated Reviews for Recommender Systems with Dynamic Headers. CoRR abs/2409.07627 (2024) - 2023
- [i1]Zikun Ye, Reza Yousefi Maragheh, Lalitesh Morishetti, Shanu Vashishtha, Jason Cho, Kaushiki Nag, Sushant Kumar, Kannan Achan:
Seller-side Outcome Fairness in Online Marketplaces. CoRR abs/2312.03253 (2023) - 2022
- [c2]Reza Yousefi Maragheh, Ramin Giahi, Jianpeng Xu, Lalitesh Morishetti, Shanu Vashishtha, Kaushiki Nag, Jason H. D. Cho, Evren Körpeoglu, Sushant Kumar, Kannan Achan:
Prospect-Net: Top-K Retrieval Problem Using Prospect Theory. IEEE Big Data 2022: 3945-3951
2010 – 2019
- 2019
- [c1]Nidhi Vyas, Sai Krishna Rallabandi, Lalitesh Morishetti, Eduard H. Hovy, Alan W. Black:
Learning Disentangled Representation in Latent Stochastic Models: A Case Study with Image Captioning. ICASSP 2019: 4010-4014
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last updated on 2024-10-28 20:07 CET by the dblp team
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