Prashnna K. Gyawali

Orcid: 0000-0003-1201-6993

According to our database1, Prashnna K. Gyawali authored at least 32 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Can AI Keep You Safe? A Study of Large Language Models for Phishing Detection.
Proceedings of the 14th IEEE Annual Computing and Communication Workshop and Conference, 2024

2023
Multimodal Federated Learning in Healthcare: a review.
CoRR, 2023

T2FNorm: Extremely Simple Scaled Train-time Feature Normalization for OOD Detection.
CoRR, 2023

Learning Transferable Object-Centric Diffeomorphic Transformations for Data Augmentation in Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Continual Unsupervised Disentangling of Self-Organizing Representations.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Learning to Disentangle Inter-Subject Anatomical Variations in Electrocardiographic Data.
IEEE Trans. Biomed. Eng., 2022

Improving genetic risk prediction across diverse population by disentangling ancestry representations.
CoRR, 2022

Ensembling improves stability and power of feature selection for deep learning models.
Proceedings of the Machine Learning in Computational Biology, 21-22 November 2022, Online, 2022

Interpretable Modeling and Reduction of Unknown Errors in Mechanistic Operators.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021
Deep Adaptive Electrocardiographic Imaging with Generative Forward Model for Error Reduction.
Proceedings of the Functional Imaging and Modeling of the Heart, 2021

Semi-Supervised Learning for Eye Image Segmentation.
Proceedings of the 2021 Symposium on Eye Tracking Research and Applications, 2021

Latent-optimization based Disease-aware Image Editing for Medical Image Augmentation.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Sequential Factorized Autoencoder for Localizing the Origin of Ventricular Activation From 12-Lead Electrocardiograms.
IEEE Trans. Biomed. Eng., 2020

Reliable Estimation of Kullback-Leibler Divergence by Controlling Discriminator Complexity in the Reproducing Kernel Hilbert Space.
CoRR, 2020

A hybrid machine learning approach to localizing the origin of ventricular tachycardia using 12-lead electrocardiograms.
Comput. Biol. Medicine, 2020

Learning Geometry-Dependent and Physics-Based Inverse Image Reconstruction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Semi-supervised Medical Image Classification with Global Latent Mixing.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Progressive Learning and Disentanglement of Hierarchical Representations.
Proceedings of the 8th International Conference on Learning Representations, 2020

Enhancing Mixup-based Semi-Supervised Learning with Explicit Lipschitz Regularization.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

2019
Wavelets to the Rescue: Improving Sample Quality of Latent Variable Deep Generative Models.
CoRR, 2019

Semi-supervised Learning by Disentangling and Self-ensembling over Stochastic Latent Space.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Improving Generalization of Deep Networks for Inverse Reconstruction of Image Sequences.
Proceedings of the Information Processing in Medical Imaging, 2019

Improving Disentangled Representation Learning with the Beta Bernoulli Process.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018
Deep Generative Model with Beta Bernoulli Process for Modeling and Learning Confounding Factors.
CoRR, 2018

Improving Generalization of Sequence Encoder-Decoder Networks for Inverse Imaging of Cardiac Transmembrane Potential.
CoRR, 2018

Generative Modeling and Inverse Imaging of Cardiac Transmembrane Potential.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Learning Disentangled Representation from 12-Lead Electrograms: Application in Localizing the Origin of Ventricular Tachycardia.
Proceedings of the Workshops of the The Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Disentangling inter-subject variations: Automatic localization of ventricular tachycardia origin from 12-lead electrocardiograms.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

Automatic Coordinate Prediction of the Exit of Ventricular Tachycardia from 12-Lead Electrocardiogram.
Proceedings of the Computing in Cardiology, 2017

Atrial Fibrillation Classification from a Short Single Lead ECG Recording Using Hierarchical Classifier.
Proceedings of the Computing in Cardiology, 2017

2016
Devanagari Handwritten Character Dataset.
Dataset, August, 2016

2015
Deep learning based large scale handwritten Devanagari character recognition.
Proceedings of the 9th International Conference on Software, 2015


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