Lokhande, Vishnu Suresh

11 publications

ICCV 2025 Your Text Encoder Can Be an Object-Level Watermarking Controller Naresh Kumar Devulapally, Mingzhen Huang, Vishal Asnani, Shruti Agarwal, Siwei Lyu, Vishnu Suresh Lokhande

NeurIPS 2024 ParallelEdits: Efficient Multi-Aspect Text-Driven Image Editing with Attention Grouping Mingzhen Huang, Jialing Cai, Shan Jia, Vishnu Suresh Lokhande, Siwei Lyu

ICLR 2024 Pooling Image Datasets with Multiple Covariate Shift and Imbalance Sotirios Panagiotis Chytas, Vishnu Suresh Lokhande, Vikas Singh

ICLR 2023 Efficient Discrete Multi Marginal Optimal Transport Regularization Ronak Mehta, Jeffery Kline, Vishnu Suresh Lokhande, Glenn Fung, Vikas Singh

CVPR 2022 Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging Datasets Vishnu Suresh Lokhande, Rudrasis Chakraborty, Sathya N. Ravi, Vikas Singh

ICMLW 2022 Towards Group Robustness in the Presence of Partial Group Labels Vishnu Suresh Lokhande, Kihyuk Sohn, Jinsung Yoon, Madeleine Udell, Chen-Yu Lee, Tomas Pfister

UAI 2021 Graph Reparameterizations for Enabling 1000+ Monte Carlo Iterations in Bayesian Deep Neural Networks Jurijs Nazarovs, Ronak R. Mehta, Vishnu Suresh Lokhande, Vikas Singh

AAAI 2021 Learning Invariant Representations Using Inverse Contrastive Loss Aditya Kumar Akash, Vishnu Suresh Lokhande, Sathya N. Ravi, Vikas Singh

AAAI 2020 Accelerating Column Generation via Flexible Dual Optimal Inequalities with Application to Entity Resolution Vishnu Suresh Lokhande, Shaofei Wang, Maneesh Singh, Julian Yarkony

ECCV 2020 FairALM: Augmented Lagrangian Method for Training Fair Models with Little Regret Vishnu Suresh Lokhande, Aditya Kumar Akash, Sathya N. Ravi, Vikas Singh

AAAI 2019 Explicitly Imposing Constraints in Deep Networks via Conditional Gradients Gives Improved Generalization and Faster Convergence Sathya N. Ravi, Tuan Dinh, Vishnu Suresh Lokhande, Vikas Singh