Sandesh Ghimire

47 papers A* 5A 1Journal 24Unranked 17

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