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ORCIDKiran Karra
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2020 – today
- 2024
[c7]Pooja Algikar, Lamine Mili
, Kiran Karra, Akash Algikar, Mohsen Ben Hassine:
Quantifying Non-linear Dependencies in Blind Source Separation of Power System Signals using Copula Statistics. ISGT 2024: 1-5- 2023
- [i13]Kiran Karra, Tom Mellan, Maria Silva, Juan P. Madrigal-Cianci, Axel Cubero Cortes, Zixuan Zhang:
An Agent-Based Model Framework for Utility-Based Cryptoeconomies. CoRR abs/2307.15200 (2023) - [i12]Axel Cortes-Cubero, Juan P. Madrigal-Cianci, Kiran Karra, Zixuan Zhang:
Smoothening block rewards: How much should miners pay for mining pools? CoRR abs/2309.02297 (2023) - 2022
- [c6]Kiran Karra, Chace Ashcraft, Cash Costello:
SanitAIs: Unsupervised Data Augmentation to Sanitize Trojaned Neural Networks. DASC/PiCom/CBDCom/CyberSciTech 2022: 1-6 - [i11]Nathan Drenkow, Alvin Tan, Chace Ashcraft, Kiran Karra:
Context-Adaptive Deep Neural Networks via Bridge-Mode Connectivity. CoRR abs/2211.15436 (2022) - 2021
- [c5]Kiran Karra, Alan McCree:
Speaker Diarization Using Two-Pass Leave-One-Out Gaussian PLDA Clustering of DNN Embeddings. Interspeech 2021: 3585-3589 - [i10]Kiran Karra, Alan McCree:
Speaker Diarization using Two-pass Leave-One-Out Gaussian PLDA Clustering of DNN Embeddings. CoRR abs/2104.02469 (2021) - [i9]Chace Ashcraft, Kiran Karra:
Poisoning Deep Reinforcement Learning Agents with In-Distribution Triggers. CoRR abs/2106.07798 (2021) - [i8]Kiran Karra, Chace Ashcraft:
SanitAIs: Unsupervised Data Augmentation to Sanitize Trojaned Neural Networks. CoRR abs/2109.04566 (2021) - [i7]Chace Ashcraft, Kiran Karra:
Machine Learning aided Crop Yield Optimization. CoRR abs/2111.00963 (2021) - 2020
- [i6]Kiran Karra, Chace Ashcraft, Neil Fendley:
The TrojAI Software Framework: An OpenSource tool for Embedding Trojans into Deep Learning Models. CoRR abs/2003.07233 (2020) - [i5]Yijun Xu, Kiran Karra, Lamine Mili, Mert Korkali, Xiao Chen, Zhixiong Hu:
Probabilistic Load-Margin Assessment using Vine Copula and Gaussian Process Emulation. CoRR abs/2004.05771 (2020)
2010 – 2019
- 2019
- [j1]Kiran Karra, Lamine Mili:
Copula index for detecting dependence and monotonicity between stochastic signals. Inf. Sci. 485: 18-41 (2019) - 2018
- [c4]Kiran Karra, Samarth Swarup, Justus Graham:
An Empirical Assessment of the Complexity and Realism of Synthetic Social Contact Networks*. IEEE BigData 2018: 3959-3967 - [i4]Kiran Karra, Samarth Swarup, Justus Graham:
An Empirical Assessment of the Complexity and Realism of Synthetic Social Contact Networks. CoRR abs/1811.07746 (2018) - 2017
- [c3]Tim O'Shea, Kiran Karra, T. Charles Clancy:
Learning approximate neural estimators for wireless channel state information. MLSP 2017: 1-7 - [i3]Timothy J. O'Shea, Kiran Karra, T. Charles Clancy:
Learning Approximate Neural Estimators for Wireless Channel State Information. CoRR abs/1707.06260 (2017) - 2016
- [c2]Timothy J. O'Shea, Kiran Karra, T. Charles Clancy:
Learning to communicate: Channel auto-encoders, domain specific regularizers, and attention. ISSPIT 2016: 223-228 - [c1]Kiran Karra, Lamine Mili:
Hybrid Copula Bayesian Networks. Probabilistic Graphical Models 2016: 240-251 - [i2]Timothy J. O'Shea, Kiran Karra:
GNU Radio Signal Processing Models for Dynamic Multi-User Burst Modems. CoRR abs/1604.08397 (2016) - [i1]Timothy J. O'Shea, Kiran Karra, T. Charles Clancy:
Learning to Communicate: Channel Auto-encoders, Domain Specific Regularizers, and Attention. CoRR abs/1608.06409 (2016)
Coauthor Index
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