Kiran Karra

Orcid: 0000-0001-8072-4014

According to our database1, Kiran Karra authored at least 18 papers between 2016 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Quantifying Non-linear Dependencies in Blind Source Separation of Power System Signals using Copula Statistics.
Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2024

2023
Smoothening block rewards: How much should miners pay for mining pools?
CoRR, 2023

An Agent-Based Model Framework for Utility-Based Cryptoeconomies.
CoRR, 2023

2022
Context-Adaptive Deep Neural Networks via Bridge-Mode Connectivity.
CoRR, 2022

SanitAIs: Unsupervised Data Augmentation to Sanitize Trojaned Neural Networks.
Proceedings of the IEEE Intl. Conf. on Dependable, 2022

2021
Machine Learning aided Crop Yield Optimization.
CoRR, 2021

SanitAIs: Unsupervised Data Augmentation to Sanitize Trojaned Neural Networks.
CoRR, 2021

Poisoning Deep Reinforcement Learning Agents with In-Distribution Triggers.
CoRR, 2021

Speaker Diarization Using Two-Pass Leave-One-Out Gaussian PLDA Clustering of DNN Embeddings.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

2020
Probabilistic Load-Margin Assessment using Vine Copula and Gaussian Process Emulation.
CoRR, 2020

The TrojAI Software Framework: An OpenSource tool for Embedding Trojans into Deep Learning Models.
CoRR, 2020

2019
Copula index for detecting dependence and monotonicity between stochastic signals.
Inf. Sci., 2019

2018
An Empirical Assessment of the Complexity and Realism of Synthetic Social Contact Networks.
CoRR, 2018

An Empirical Assessment of the Complexity and Realism of Synthetic Social Contact Networks<sup>*</sup>.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Learning approximate neural estimators for wireless channel state information.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

2016
GNU Radio Signal Processing Models for Dynamic Multi-User Burst Modems.
CoRR, 2016

Hybrid Copula Bayesian Networks.
Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016

Learning to communicate: Channel auto-encoders, domain specific regularizers, and attention.
Proceedings of the 2016 IEEE International Symposium on Signal Processing and Information Technology, 2016


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