| 2024 | AISTATS | Boundary-Aware Uncertainty for Feature Attribution Explainers. | Davin Hill, Aria Masoomi, Max Torop, Sandesh Ghimire, Jennifer G. Dy |
| 2024 | CVPR | Solving Masked Jigsaw Puzzles with Diffusion Vision Transformers. | Jinyang Liu, Wondmgezahu Teshome, Sandesh Ghimire, Mario Sznaier, Octavia I. Camps |
| 2023 | ICML | Inferring Relational Potentials in Interacting Systems. | Armand Comas Massague, Yilun Du, Christian Fernandez Lopez, Sandesh Ghimire, Mario Sznaier, Joshua B. Tenenbaum, Octavia I. Camps |
| 2023 | MICCAI | Learning Transferable Object-Centric Diffeomorphic Transformations for Data Augmentation in Medical Image Segmentation. | Nilesh Kumar, Prashnna K. Gyawali, Sandesh Ghimire, Linwei Wang |
| 2020 | ICDM | Enhancing Mixup-based Semi-Supervised Learning with Explicit Lipschitz Regularization. | Prashnna Kumar Gyawali, Sandesh Ghimire, Linwei Wang |
| 2020 | MICCAI | Learning Invariant Feature Representation to Improve Generalization Across Chest X-Ray Datasets. | Sandesh Ghimire, Satyananda Kashyap, Joy T. Wu, Alexandros Karargyris, Mehdi Moradi |
| 2020 | MICCAI | Semi-supervised Medical Image Classification with Global Latent Mixing. | Prashnna Kumar Gyawali, Sandesh Ghimire, Pradeep Bajracharya, Zhiyuan Li, Linwei Wang |
| 2020 | MICCAI | Learning Geometry-Dependent and Physics-Based Inverse Image Reconstruction. | Xiajun Jiang, Sandesh Ghimire, Jwala Dhamala, Zhiyuan Li, Prashnna Kumar Gyawali, Linwei Wang |
| 2019 | ICDM | Improving Disentangled Representation Learning with the Beta Bernoulli Process. | Prashnna K. Gyawali, Zhiyuan Li, Cameron Knight, Sandesh Ghimire, B. Milan Horcek, John L. Sapp, Linwei Wang |
| 2019 | MICCAI | Bayesian Optimization on Large Graphs via a Graph Convolutional Generative Model: Application in Cardiac Model Personalization. | Jwala Dhamala, Sandesh Ghimire, John L. Sapp, B. Milan Horcek, Linwei Wang |
| 2019 | MICCAI | Semi-supervised Learning by Disentangling and Self-ensembling over Stochastic Latent Space. | Prashnna Kumar Gyawali, Zhiyuan Li, Sandesh Ghimire, Linwei Wang |
| 2018 | MICCAI | High-Dimensional Bayesian Optimization of Personalized Cardiac Model Parameters via an Embedded Generative Model. | Jwala Dhamala, Sandesh Ghimire, John L. Sapp, B. Milan Horcek, Linwei Wang |
| 2018 | MICCAI | Generative Modeling and Inverse Imaging of Cardiac Transmembrane Potential. | Sandesh Ghimire, Jwala Dhamala, Prashnna Kumar Gyawali, John L. Sapp, Milan Horacek, Linwei Wang |
| 2017 | MICCAI | A Variational Approach to Sparse Model Error Estimation in Cardiac Electrophysiological Imaging. | Sandesh Ghimire, John L. Sapp, Milan Horacek, Linwei Wang |