Prashnna Kumar Gyawali

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 19

Top Topics

Emission Computed Tomography

Supervised Learning

Top Venues

Publications

Robin Chataut, Prashnna Kumar Gyawali, Yusuf Usman
Can AI Keep You Safe? A Study of Large Language Models for Phishing Detection. CCWC (2024)
Zhiyuan Li, Xiajun Jiang, Ryan Missel, Prashnna Kumar Gyawali, Nilesh Kumar, Linwei Wang
Continual Unsupervised Disentangling of Self-Organizing Representations. ICLR (2023)
Zhiyuan Li, Jaideep Vitthal Murkute, Prashnna Kumar Gyawali, Linwei Wang
Progressive Learning and Disentanglement of Hierarchical Representations. ICLR (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)
Zhiyuan Li, Jaideep Vitthal Murkute, Prashnna Kumar Gyawali, Linwei Wang
Progressive Learning and Disentanglement of Hierarchical Representations. CoRR (2020)
Prashnna Kumar Gyawali, B. Milan Horácek, John L. Sapp, Linwei Wang
Sequential Factorized Autoencoder for Localizing the Origin of Ventricular Activation From 12-Lead Electrocardiograms. IEEE Trans. Biomed. Eng. 67 (5) (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)
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)
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)
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)
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)
Shailesh Acharya, Ashok Kumar Pant, Prashnna Kumar Gyawali
Deep learning based large scale handwritten Devanagari character recognition. SKIMA (2015)