Sandesh Ghimire

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 46

Top Topics

Reproducing Kernel

Image Reconstruction

Generative Model

Lesion Detection

Top Venues

Publications

Davin Hill, Aria Masoomi, Max Torop, Sandesh Ghimire, Jennifer G. Dy
Boundary-Aware Uncertainty for Feature Attribution Explainers. AISTATS (2024)
Jinyang Liu, Wondmgezahu Teshome, Sandesh Ghimire, Mario Sznaier, Octavia I. Camps
Solving Masked Jigsaw Puzzles with Diffusion Vision Transformers. CoRR (2024)
Sandesh Ghimire, Jinyang Liu, Armand Comas Massague, Davin Hill, Aria Masoomi, Octavia I. Camps, Jennifer G. Dy
Geometry of Score Based Generative Models. CoRR (2023)
Krishan Mridha, Fitsum Getachew Tola, Shakil Sarkar, Nazmul Arefin, Sandesh Ghimire, Anmol Aran, Aashish Prashad Pandey
Automating Malaria Diagnosis with XAI: Using Deep-Learning Technologies for More Accurate, Efficient, and Transparent Results. MIWAI (2023)
Sandesh Ghimire, Armand Comas Massague, Davin Hill, Aria Masoomi, Octavia I. Camps, Jennifer G. Dy
Divide and Compose with Score Based Generative Models. CoRR (2023)
Armand Comas Massague, Yilun Du, Christian Fernandez Lopez, Sandesh Ghimire, Mario Sznaier, Joshua B. Tenenbaum, Octavia I. Camps
Inferring Relational Potentials in Interacting Systems. ICML (2023)
Armand Comas Massague, Yilun Du, Christian Fernandez Lopez, Sandesh Ghimire, Mario Sznaier, Joshua B. Tenenbaum, Octavia I. Camps
Inferring Relational Potentials in Interacting Systems. CoRR (2023)
Nilesh Kumar, Prashnna K. Gyawali, Sandesh Ghimire, Linwei Wang
Learning Transferable Object-Centric Diffeomorphic Transformations for Data Augmentation in Medical Image Segmentation. CoRR (2023)
Armand Comas Massague, Christian Fernandez Lopez, Sandesh Ghimire, Haolin Li, Mario Sznaier, Octavia I. Camps
Learning Object-Centric Dynamic Modes from Video and Emerging Properties. L4DC (2023)
Sandesh Ghimire, Shinsaku Kataoka, Lillian Pentecost
NVMSurvey: Recent Advances and Comparative Analysis of Emerging Non-Volatile Memories (eNVMs). IISWC (2023)
Krishna Mridha, Sandesh Ghimire, Jungpil Shin, Anmol Aran, Md. Mezbah Uddin, Muhammad F. Mridha
Automated Stroke Prediction Using Machine Learning: An Explainable and Exploratory Study With a Web Application for Early Intervention. IEEE Access 11 (2023)
Nilesh Kumar, Prashnna K. Gyawali, Sandesh Ghimire, Linwei Wang
Learning Transferable Object-Centric Diffeomorphic Transformations for Data Augmentation in Medical Image Segmentation. MICCAI (2) (2023)
Davin Hill, Aria Masoomi, Sandesh Ghimire, Max Torop, Jennifer G. Dy
Explanation Uncertainty with Decision Boundary Awareness. CoRR (2022)
Max Torop, Sandesh Ghimire, WenQian Liu, Dana H. Brooks, Octavia I. Camps, Milind Rajadhyaksha, Jennifer G. Dy, Kivanç Köse
Unsupervised Approaches for Out-Of-Distribution Dermoscopic Lesion Detection. CoRR (2021)
Sandesh Ghimire, Aria Masoomi, Jennifer G. Dy
Reliable Estimation of KL Divergence using a Discriminator in Reproducing Kernel Hilbert Space. NeurIPS (2021)
Armand Comas Massague, Sandesh Ghimire, Haolin Li, Mario Sznaier, Octavia I. Camps
Self-Supervised Decomposition, Disentanglement and Prediction of Video Sequences while Interpreting Dynamics: A Koopman Perspective. CoRR (2021)
Sandesh Ghimire, Aria Masoomi, Jennifer G. Dy
Reliable Estimation of KL Divergence using a Discriminator in Reproducing Kernel Hilbert Space. CoRR (2021)
Jwala Dhamala, Sandesh Ghimire, John L. Sapp, B. Milan Horácek, Linwei Wang
High-dimensional Bayesian Optimization of Personalized Cardiac Model Parameters via an Embedded Generative Model. CoRR (2020)
Sandesh Ghimire, Prashnna K. Gyawali, Linwei Wang
Reliable Estimation of Kullback-Leibler Divergence by Controlling Discriminator Complexity in the Reproducing Kernel Hilbert Space. CoRR (2020)
Prashnna Kumar Gyawali, Sandesh Ghimire, Linwei Wang
Enhancing Mixup-based Semi-Supervised Learning with Explicit Lipschitz Regularization. ICDM (2020)
Prashnna Kumar Gyawali, Sandesh Ghimire, Pradeep Bajracharya, Zhiyuan Li, Linwei Wang
Semi-supervised Medical Image Classification with Global Latent Mixing. MICCAI (1) (2020)
Sandesh Ghimire, Satyananda Kashyap, Joy T. Wu, Alexandros Karargyris, Mehdi Moradi
Learning Invariant Feature Representation to Improve Generalization across Chest X-ray Datasets. CoRR (2020)
Xiajun Jiang, Sandesh Ghimire, Jwala Dhamala, Zhiyuan Li, Prashnna Kumar Gyawali, Linwei Wang
Learning Geometry-Dependent and Physics-Based Inverse Image Reconstruction. CoRR (2020)
Xiajun Jiang, Sandesh Ghimire, Jwala Dhamala, Zhiyuan Li, Prashnna Kumar Gyawali, Linwei Wang
Learning Geometry-Dependent and Physics-Based Inverse Image Reconstruction. MICCAI (6) (2020)
Prashnna Kumar Gyawali, Sandesh Ghimire, Linwei Wang
Enhancing Mixup-based Semi-Supervised Learning with Explicit Lipschitz Regularization. CoRR (2020)
Prashnna Kumar Gyawali, Sandesh Ghimire, Pradeep Bajracharya, Zhiyuan Li, Linwei Wang
Semi-supervised Medical Image Classification with Global Latent Mixing. CoRR (2020)
Sandesh Ghimire, Satyananda Kashyap, Joy T. Wu, Alexandros Karargyris, Mehdi Moradi
Learning Invariant Feature Representation to Improve Generalization Across Chest X-Ray Datasets. MLMI@MICCAI (2020)
Sandesh Ghimire, John L. Sapp, B. Milan Horácek, Linwei Wang
Noninvasive Reconstruction of Transmural Transmembrane Potential With Simultaneous Estimation of Prior Model Error. IEEE Trans. Medical Imaging 38 (11) (2019)
Prashnna Kumar Gyawali, Zhiyuan Li, Cameron Knight, Sandesh Ghimire, B. Milan Horácek, John L. Sapp, Linwei Wang
Improving Disentangled Representation Learning with the Beta Bernoulli Process. CoRR (2019)
Jwala Dhamala, Sandesh Ghimire, John L. Sapp, B. Milan Horácek, Linwei Wang
Bayesian Optimization on Large Graphs via a Graph Convolutional Generative Model: Application in Cardiac Model Personalization. CoRR (2019)
Prashnna Kumar Gyawali, Zhiyuan Li, Sandesh Ghimire, Linwei Wang
Semi-supervised Learning by Disentangling and Self-ensembling over Stochastic Latent Space. MICCAI (6) (2019)
Sandesh Ghimire, Prashnna Kumar Gyawali, Jwala Dhamala, John L. Sapp, Milan Horacek, Linwei Wang
Improving Generalization of Deep Networks for Inverse Reconstruction of Image Sequences. CoRR (2019)
Prashnna Kumar Gyawali, Zhiyuan Li, Sandesh Ghimire, Linwei Wang
Semi-Supervised Learning by Disentangling and Self-Ensembling Over Stochastic Latent Space. CoRR (2019)
Sandesh Ghimire, Prashnna Kumar Gyawali, Jwala Dhamala, John L. Sapp, Milan Horacek, Linwei Wang
Improving Generalization of Deep Networks for Inverse Reconstruction of Image Sequences. IPMI (2019)
Sandesh Ghimire, Jwala Dhamala, Prashnna Kumar Gyawali, John L. Sapp, B. Milan Horácek, Linwei Wang
Generative Modeling and Inverse Imaging of Cardiac Transmembrane Potential. CoRR (2019)
Prashnna K. Gyawali, Zhiyuan Li, Cameron Knight, Sandesh Ghimire, B. Milan Horácek, John L. Sapp, Linwei Wang
Improving Disentangled Representation Learning with the Beta Bernoulli Process. ICDM (2019)
Jwala Dhamala, Sandesh Ghimire, John L. Sapp, B. Milan Horácek, Linwei Wang
Bayesian Optimization on Large Graphs via a Graph Convolutional Generative Model: Application in Cardiac Model Personalization. MICCAI (2) (2019)
Sandesh Ghimire, Linwei Wang
Deep Generative Modeling and Analysis of Cardiac Transmembrane Potential. CinC (2018)
Jwala Dhamala, Sandesh Ghimire, John L. Sapp, B. Milan Horácek, Linwei Wang
High-Dimensional Bayesian Optimization of Personalized Cardiac Model Parameters via an Embedded Generative Model. MICCAI (2) (2018)
Sandesh Ghimire, Prashnna Kumar Gyawali, John L. Sapp, Milan Horacek, Linwei Wang
Improving Generalization of Sequence Encoder-Decoder Networks for Inverse Imaging of Cardiac Transmembrane Potential. CoRR (2018)
Prashnna K. Gyawali, Cameron Knight, Sandesh Ghimire, B. Milan Horácek, John L. Sapp, Linwei Wang
Deep Generative Model with Beta Bernoulli Process for Modeling and Learning Confounding Factors. CoRR (2018)
Sandesh Ghimire, Jwala Dhamala, Prashnna Kumar Gyawali, John L. Sapp, Milan Horacek, Linwei Wang
Generative Modeling and Inverse Imaging of Cardiac Transmembrane Potential. MICCAI (2) (2018)
Sandesh Ghimire, Linwei Wang
L_0 Norm Based Sparse Regularization for Non-invasive Infarct Detection Using ECG Signal. CinC (2017)
Jwala Dhamala, Jaume Coll-Font, Jess D. Tate, María de la Salud Guillem Sánchez, Dana H. Brooks, Linwei Wang, Rob S. MacLeod, Sandesh Ghimire
Overcoming Barriers to Quantification and Comparison of Electrocardiographic Imaging Methods: a Community-Based Approach. CinC (2017)
Sandesh Ghimire, John L. Sapp, Milan Horacek, Linwei Wang
A Variational Approach to Sparse Model Error Estimation in Cardiac Electrophysiological Imaging. MICCAI (2) (2017)
Linwei Wang, Omar Gharbia, Sandesh Ghimire, Milan Horacek, John L. Sapp
Noninvasive Epicardial and Endocardial Electrocardiographic Imaging of Scar-Related Ventricular Tachycardia. CinC (2016)