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Neuromorphic Acceleration for Approximate Bayesian Inference on Neural Networks via Permanent Dropout.

N. Wycoff, P. Balaprakash, and F. Xia. ICONS, page 9:1-9:4. ACM, (2019)

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Prasanna Rajagopalan

Hara Prasanna Misra

Debi Prasanna Ganguly

Prasanna Venkatesh Rangadurai

Krishna Prasanna Mukerji

Other publications of authors with the same name

F-Race and Iterated F-Race: An Overview.M. Birattari, Z. Yuan, P. Balaprakash, and T. Stützle. Experimental Methods for the Analysis of Optimization Algorithms, Springer, (2010)Neuromorphic Acceleration for Approximate Bayesian Inference on Neural Networks via Permanent Dropout.N. Wycoff, P. Balaprakash, and F. Xia. ICONS, page 9:1-9:4. ACM, (2019)Modeling I/O Performance Variability Using Conditional Variational Autoencoders.S. Madireddy, P. Balaprakash, P. Carns, R. Latham, R. Ross, S. Snyder, and S. Wild. CLUSTER, page 109-113. IEEE Computer Society, (2018)Graph Neural Network Architecture Search for Molecular Property Prediction.S. Jiang, and P. Balaprakash. IEEE BigData, page 1346-1353. IEEE, (2020)A Taxonomy of Error Sources in HPC I/O Machine Learning Models.M. Isakov, M. Currier, E. Rosario, S. Madireddy, P. Balaprakash, P. Carns, R. Ross, G. Lockwood, and M. Kinsy. SC, page 16:1-16:14. IEEE, (2022)Automated Continual Learning of Defect Identification in Coherent Diffraction Imaging.O. Yildiz, H. Chan, K. Raghavan, W. Judge, M. Cherukara, P. Balaprakash, S. Sankaranarayanan, and T. Peterka. AI4S, page 1-6. IEEE, (2022)Flow-Bench: A Dataset for Computational Workflow Anomaly Detection.G. Papadimitriou, H. Jin, C. Wang, K. Raghavan, A. Mandal, P. Balaprakash, and E. Deelman. CoRR, (2023)AI Competitions and Benchmarks: Dataset Development.R. Egele, J. Júnior, J. van Rijn, I. Guyon, X. Baró, A. Clapés, P. Balaprakash, S. Escalera, T. Moeslund, and J. Wan. CoRR, (2024)The Unreasonable Effectiveness Of Early Discarding After One Epoch In Neural Network Hyperparameter Optimization.R. Egele, F. Mohr, T. Viering, and P. Balaprakash. CoRR, (2024)Streamlining Ocean Dynamics Modeling with Fourier Neural Operators: A Multiobjective Hyperparameter and Architecture Optimization Approach.Y. Sun, O. Sowunmi, R. Egele, S. Narayanan, L. Roekel, and P. Balaprakash. CoRR, (2024)

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Disambiguation of "Balaprakash, Prasanna"

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Neuromorphic Acceleration for Approximate Bayesian Inference on Neural Networks via Permanent Dropout.

Please choose a person to relate this publication to

Prasanna Rajagopalan

Hara Prasanna Misra

Debi Prasanna Ganguly

Prasanna Venkatesh Rangadurai

Krishna Prasanna Mukerji

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Balaprakash, Prasanna"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Neuromorphic Acceleration for Approximate Bayesian Inference on Neural Networks via Permanent Dropout.

Please choose a person to relate this publication to

Prasanna Rajagopalan

Hara Prasanna Misra

Debi Prasanna Ganguly

Prasanna Venkatesh Rangadurai

Krishna Prasanna Mukerji

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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MSOffice XML

Neuromorphic Acceleration for Approximate Bayesian Inference on Neural Networks via Permanent Dropout.