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Prashnna K. Gyawali
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2020 – today
- 2024
- [c27]Robin Chataut, Prashnna Kumar Gyawali, Yusuf Usman:
Can AI Keep You Safe? A Study of Large Language Models for Phishing Detection. CCWC 2024: 548-554 - [c26]Sudarshan Regmi, Bibek Panthi, Yifei Ming, Prashnna K. Gyawali, Danail Stoyanov, Binod Bhattarai:
ReweightOOD: Loss Reweighting for Distance-based OOD Detection. CVPR Workshops 2024: 131-141 - [c25]Sudarshan Regmi, Bibek Panthi, Sakar Dotel, Prashnna K. Gyawali, Danail Stoyanov, Binod Bhattarai:
T2FNorm: Train-time Feature Normalization for OOD Detection in Image Classification. CVPR Workshops 2024: 153-162 - [c24]Sandesh Pokhrel, Sanjay Bhandari, Eduard Vazquez, Tryphon Lambrou, Prashnna K. Gyawali, Binod Bhattarai:
TTA-OOD: Test-Time Augmentation for Improving Out-of-Distribution Detection in Gastrointestinal Vision. DEMI@MICCAI 2024: 33-42 - [c23]Pranav Poudel, Prashant Shrestha, Sanskar Amgain, Yash Raj Shrestha, Prashnna K. Gyawali, Binod Bhattarai:
CAR-MFL: Cross-Modal Augmentation by Retrieval for Multimodal Federated Learning with Missing Modalities. MICCAI (10) 2024: 102-112 - [c22]Jacob Thrasher, Annahita Amireskandari, Prashnna K. Gyawali:
Enhancing Retinal Disease Classification from OCTA Images via Active Learning Techniques. DEMI@MICCAI 2024: 134-143 - [c21]Jacob Thrasher, Alina Devkota, Ahmad P. Tafti, Binod Bhattarai, Prashnna K. Gyawali:
TE-SSL: Time and Event-Aware Self Supervised Learning for Alzheimer's Disease Progression Analysis. MICCAI (12) 2024: 324-333 - [i27]FNU Shivam, Megan Leight, Mary Kate Kelly, Claire Davis, Kelsey Clodfelter, Jacob Thrasher, Yenumula Reddy, Prashnna K. Gyawali:
Segmentation of Maya hieroglyphs through fine-tuned foundation models. CoRR abs/2405.16426 (2024) - [i26]Jacob Thrasher, Alina Devkota, Ahmed Tafti, Binod Bhattarai, Prashnna K. Gyawali:
TE-SSL: Time and Event-aware Self Supervised Learning for Alzheimer's Disease Progression Analysis. CoRR abs/2407.06852 (2024) - [i25]Pranav Poudel, Prashant Shrestha, Sanskar Amgain, Yash Raj Shrestha, Prashnna K. Gyawali, Binod Bhattarai:
CAR-MFL: Cross-Modal Augmentation by Retrieval for Multimodal Federated Learning with Missing Modalities. CoRR abs/2407.08648 (2024) - [i24]Sandesh Pokhrel, Sanjay Bhandari, Eduard Vazquez, Tryphon Lambrou, Prashnna K. Gyawali, Binod Bhattarai:
TTA-OOD: Test-time Augmentation for Improving Out-of-Distribution Detection in Gastrointestinal Vision. CoRR abs/2407.14024 (2024) - [i23]Jacob Thrasher, Annahita Amireskandari, Prashnna K. Gyawali:
Enhancing Retinal Disease Classification from OCTA Images via Active Learning Techniques. CoRR abs/2407.15293 (2024) - [i22]Chowdhury Mohammad Abid Rahman, Ghadendra Bhandari, Nasser M. Nasrabadi, Aldo H. Romero, Prashnna K. Gyawali:
Enhancing material property prediction with ensemble deep graph convolutional networks. CoRR abs/2407.18847 (2024) - [i21]Yusuf Usman, Aadesh Upadhyay, Prashnna K. Gyawali, Robin Chataut:
Is Generative AI the Next Tactical Cyber Weapon For Threat Actors? Unforeseen Implications of AI Generated Cyber Attacks. CoRR abs/2408.12806 (2024) - 2023
- [c20]Zhiyuan Li, Xiajun Jiang, Ryan Missel, Prashnna Kumar Gyawali, Nilesh Kumar, Linwei Wang:
Continual Unsupervised Disentangling of Self-Organizing Representations. ICLR 2023 - [c19]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: 255-265 - [i20]Sudarshan Regmi
T2FNorm: Extremely Simple Scaled Train-time Feature Normalization for OOD Detection. CoRR abs/2305.17797 (2023) - [i19]Nilesh Kumar, Prashnna K. Gyawali, Sandesh Ghimire, Linwei Wang:
Learning Transferable Object-Centric Diffeomorphic Transformations for Data Augmentation in Medical Image Segmentation. CoRR abs/2307.13645 (2023) - [i18]Jacob Thrasher, Alina Devkota, Prasiddha Siwakotai, Rohit Chivukula, Pranav Poudel, Chaunbo Hu, Binod Bhattarai, Prashnna K. Gyawali:
Multimodal Federated Learning in Healthcare: a review. CoRR abs/2310.09650 (2023) - 2022
- [j3]Prashnna K. Gyawali
Learning to Disentangle Inter-Subject Anatomical Variations in Electrocardiographic Data. IEEE Trans. Biomed. Eng. 69(2): 860-870 (2022) - [c18]Maryam Toloubidokhti, Nilesh Kumar, Zhiyuan Li, Prashnna K. Gyawali, Brian Zenger, Wilson W. Good, Rob S. MacLeod, Linwei Wang:
Interpretable Modeling and Reduction of Unknown Errors in Mechanistic Operators. MICCAI (8) 2022: 459-468 - [c17]Prashnna K. Gyawali
Ensembling improves stability and power of feature selection for deep learning models. MLCB 2022: 33-45 - [i17]Prashnna K. Gyawali, Yann Le Guen, Xiaoxia Liu, Hua Tang, James Zou, Zihuai He:
Improving genetic risk prediction across diverse population by disentangling ancestry representations. CoRR abs/2205.04673 (2022) - [i16]Prashnna K. Gyawali, Xiaoxia Liu, James Zou, Zihuai He:
Ensembling improves stability and power of feature selection for deep learning models. CoRR abs/2210.00604 (2022) - [i15]Maryam Toloubidokhti, Nilesh Kumar, Zhiyuan Li, Prashnna K. Gyawali, Brian Zenger, Wilson W. Good, Rob S. MacLeod, Linwei Wang:
Interpretable Modeling and Reduction of Unknown Errors in Mechanistic Operators. CoRR abs/2211.01373 (2022) - 2021
- [c16]Aakash Saboo, Prashnna K. Gyawali, Ankit Shukla, Manoj Sharma, Neeraj Jain, Linwei Wang:
Latent-optimization based Disease-aware Image Editing for Medical Image Augmentation. BMVC 2021: 181 - [c15]Aayush Kumar Chaudhary, Prashnna K. Gyawali, Linwei Wang, Jeff B. Pelz:
Semi-Supervised Learning for Eye Image Segmentation. ETRA Short Papers 2021: 8:1-8:7 - [c14]Maryam Toloubidokhti, Prashnna K. Gyawali, Omar A. Gharbia, Xiajun Jiang
Deep Adaptive Electrocardiographic Imaging with Generative Forward Model for Error Reduction. FIMH 2021: 471-481 - [i14]Aayush K. Chaudhary, Prashnna K. Gyawali, Linwei Wang, Jeff B. Pelz:
Semi-Supervised Learning for Eye Image Segmentation. CoRR abs/2103.09369 (2021) - 2020
- [j2]Ryan Missel
A hybrid machine learning approach to localizing the origin of ventricular tachycardia using 12-lead electrocardiograms. Comput. Biol. Medicine 126: 104013 (2020) - [j1]Prashnna Kumar Gyawali
Sequential Factorized Autoencoder for Localizing the Origin of Ventricular Activation From 12-Lead Electrocardiograms. IEEE Trans. Biomed. Eng. 67(5): 1505-1516 (2020) - [c13]Prashnna Kumar Gyawali, Sandesh Ghimire, Linwei Wang:
Enhancing Mixup-based Semi-Supervised Learning with Explicit Lipschitz Regularization. ICDM 2020: 1046-1051 - [c12]Zhiyuan Li, Jaideep Vitthal Murkute, Prashnna Kumar Gyawali, Linwei Wang:
Progressive Learning and Disentanglement of Hierarchical Representations. ICLR 2020 - [c11]Xiajun Jiang
Learning Geometry-Dependent and Physics-Based Inverse Image Reconstruction. MICCAI (6) 2020: 487-496 - [c10]Prashnna Kumar Gyawali, Sandesh Ghimire, Pradeep Bajracharya, Zhiyuan Li, Linwei Wang:
Semi-supervised Medical Image Classification with Global Latent Mixing. MICCAI (1) 2020: 604-613 - [i13]Zhiyuan Li, Jaideep Vitthal Murkute, Prashnna Kumar Gyawali, Linwei Wang:
Progressive Learning and Disentanglement of Hierarchical Representations. CoRR abs/2002.10549 (2020) - [i12]Sandesh Ghimire, Prashnna K. Gyawali, Linwei Wang:
Reliable Estimation of Kullback-Leibler Divergence by Controlling Discriminator Complexity in the Reproducing Kernel Hilbert Space. CoRR abs/2002.11187 (2020) - [i11]Prashnna Kumar Gyawali, Sandesh Ghimire, Pradeep Bajracharya, Zhiyuan Li, Linwei Wang:
Semi-supervised Medical Image Classification with Global Latent Mixing. CoRR abs/2005.11217 (2020) - [i10]Xiajun Jiang, Sandesh Ghimire, Jwala Dhamala, Zhiyuan Li, Prashnna Kumar Gyawali, Linwei Wang:
Learning Geometry-Dependent and Physics-Based Inverse Image Reconstruction. CoRR abs/2007.09522 (2020) - [i9]Prashnna Kumar Gyawali, Sandesh Ghimire, Linwei Wang:
Enhancing Mixup-based Semi-Supervised Learning with Explicit Lipschitz Regularization. CoRR abs/2009.11416 (2020)
2010 – 2019
- 2019
- [c9]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: 1078-1083 - [c8]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: 153-166 - [c7]Prashnna Kumar Gyawali, Zhiyuan Li, Sandesh Ghimire, Linwei Wang:
Semi-supervised Learning by Disentangling and Self-ensembling over Stochastic Latent Space. MICCAI (6) 2019: 766-774 - [i8]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 abs/1903.02948 (2019) - [i7]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 abs/1905.04803 (2019) - [i6]Prashnna Kumar Gyawali, Zhiyuan Li, Sandesh Ghimire, Linwei Wang:
Semi-Supervised Learning by Disentangling and Self-Ensembling Over Stochastic Latent Space. CoRR abs/1907.09607 (2019) - [i5]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 abs/1909.01839 (2019) - [i4]Prashnna K. Gyawali, Rudra Saha, Linwei Wang, V. S. R. Veeravasarapu, Maneesh Singh:
Wavelets to the Rescue: Improving Sample Quality of Latent Variable Deep Generative Models. CoRR abs/1911.05627 (2019) - 2018
- [c6]Prashnna K. Gyawali, B. Milan Horácek, John L. Sapp, Linwei Wang:
Learning Disentangled Representation from 12-Lead Electrograms: Application in Localizing the Origin of Ventricular Tachycardia. AAAI Workshops 2018: 443-450 - [c5]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: 508-516 - [i3]Prashnna K. Gyawali, B. Milan Horácek, John L. Sapp, Linwei Wang:
Learning disentangled representation from 12-lead electrograms: application in localizing the origin of Ventricular Tachycardia. CoRR abs/1808.01524 (2018) - [i2]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 abs/1810.05713 (2018) - [i1]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 abs/1811.00073 (2018) - 2017
- [c4]Erin Coppola, Prashnna K. Gyawali, Nihar Vanjara, Daniel Giaime, Linwei Wang:
Atrial Fibrillation Classification from a Short Single Lead ECG Recording Using Hierarchical Classifier. CinC 2017 - [c3]Prashnna K. Gyawali, Shuhang Chen, Huafeng Liu, B. Milan Horácek, John L. Sapp, Linwei Wang:
Automatic Coordinate Prediction of the Exit of Ventricular Tachycardia from 12-Lead Electrocardiogram. CinC 2017 - [c2]Shuhang Chen, Prashnna K. Gyawali, Huafeng Liu, B. Milan Horácek, John L. Sapp, Linwei Wang:
Disentangling inter-subject variations: Automatic localization of ventricular tachycardia origin from 12-lead electrocardiograms. ISBI 2017: 616-619 - 2016
- [d1]Shailesh Acharya, Prashnna K. Gyawali:
Devanagari Handwritten Character Dataset. UCI Machine Learning Repository, 2016 - 2015
- [c1]Shailesh Acharya, Ashok Kumar Pant, Prashnna Kumar Gyawali:
Deep learning based large scale handwritten Devanagari character recognition. SKIMA 2015: 1-6
Coauthor Index
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