Pre-prints: Craft: Cross-modal Aligned Features Improve Robustness of Prompt Tuning Jingchen Sun, Rohan Sharma, Vishnu Suresh Lokhande, Changyou Chen [ArXiv] MultiEdits: Simultaneous Multi-Aspect Editing with Text-to-Image Diffusion Models Mingzhen Huang, Jialing Cai, Shan Jia, Vishnu Suresh Lokhande, Siwei Lyu [ArXiv] Peer-reviewed: Pooling Image Datasets with Multiple Covariate Shift and Imbalance Sotirios Panagiotis Chytas, Vishnu Suresh Lokhande, Vikas Singh [OpenReview] 12th International Conference on Learning Representations (ICLR-24) Efficient Discrete Multi Marginal Optimal Transport Regularization Ronak Mehta, Jeffery Kline, Vishnu Suresh Lokhande, Glenn Fung, Vikas Singh [OpenReview] [Code] [Media Coverage] 11th International Conference on Learning Representations (ICLR-23) (Spotlight Presentation) Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging Datasets Vishnu Suresh Lokhande, Rudra Chakraborty, Sathya N. Ravi, Vikas Singh [arXiv] [Code] [Video] 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR-22) Towards Group Robustness in the presence of Partial Group Labels Vishnu Suresh Lokhande, Kihyuk Sohn, Jinsung Yoon, Madeleine Udell, Chen-Yu Lee, Tomas Pfister [arXiv] [Slides] [Code] Workshop on Spurious Correlations, Invariance and Stability at ICML 2022 Pooling CSF Measurements Across Multiple Cohorts in the Preclinical Alzheimer's Consortium Vishnu Suresh Lokhande, Jiangxia Wang, Marilyn S. Albert, Sterling C. Johnson, Vikas Singh and others. [Abstract] 2022 Alzheimer's Association International Conference. (AAIC-22) Graph Reparameterizations for Enabling 1000+ Monte Carlo Iterations in Bayesian Deep Neural Networks Jurijs Nazarovs, Ronak R. Mehta, Vishnu Suresh Lokhande, Vikas Singh [Video] [Code] Thirty-seventh Conference on Uncertainty in Artificial Intelligence (UAI-21) Constrained Harmonization Algorithm for Pooling Multi-site Datasets Vishnu Suresh Lokhande, Akshay Mishra, Kersten Diers, Emrah Duzel, Martin Reuter, Barbara Bendlin, Vikas Singh [Slides] [Poster] [Video] 2021 Alzheimer's Association International Conference. (AAIC-21) Learning Invariant Representations using Inverse Contrastive Loss Aditya Kumar Akash, Vishnu Suresh Lokhande, Sathya N. Ravi, Vikas Singh [Poster] [Code] [Slides] Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21) FairALM: An Augmented Lagrangian Method for Training Fair Models with Little Regret Vishnu Suresh Lokhande, Aditya Kumar Akash, Sathya N. Ravi, Vikas Singh [Video] [Slides] [Code] 16th European Conference on Computer Vision (ECCV-20) Generating Accurate Pseudo-labels in Semi-Supervised Learning and Avoiding Overconfident Predictions via Hermite Polynomial Activations Vishnu Suresh Lokhande, Songwong Tasneeyapant, Abhay Venkatesh, Sathya N. Ravi, Vikas Singh [Video] [Slides] [Code] 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR-20) Also, Best Student Paper Award at MMLS 2019 Accelerating Column Generation via Flexible Dual Optimal Inequalities with Application to Entity Resolution Vishnu Suresh Lokhande, Shaofei Wang, Maneesh Singh, Julian Yarkony [Code] [Poster] [Slides] Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20) (Oral Presentation) Constrained Deep Learning using Conditional Gradient and Applications in Computer Vision Sathya N. Ravi, Tuan Dinh, Vishnu Suresh Lokhande, Vikas Singh [Code] [Poster] Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19) (Oral Presentation) Also, Spotlight Presentation at MMLS 2018
