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Karthikeyan Natesan Ramamurthy

Your fairness may vary: Group fairness of pretrained language models in toxic text classification


Aug 03, 2021
Ioana Baldini, Dennis Wei, Karthikeyan Natesan Ramamurthy, Mikhail Yurochkin, Moninder Singh


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Augmenting Molecular Deep Generative Models with Topological Data Analysis Representations


Jun 08, 2021
Yair Schiff, Vijil Chenthamarakshan, Samuel Hoffman, Karthikeyan Natesan Ramamurthy, Payel Das


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Uncertainty Quantification 360: A Holistic Toolkit for Quantifying and Communicating the Uncertainty of AI


Jun 04, 2021
Soumya Ghosh, Q. Vera Liao, Karthikeyan Natesan Ramamurthy, Jiri Navratil, Prasanna Sattigeri, Kush R. Varshney, Yunfeng Zhang

* Added references 

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Finding the Homology of Decision Boundaries with Active Learning


Nov 19, 2020
Weizhi Li, Gautam Dasarathy, Karthikeyan Natesan Ramamurthy, Visar Berisha

* Advances in Neural Information Processing Systems 33 (2020) 

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Characterizing the Latent Space of Molecular Deep Generative Models with Persistent Homology Metrics


Oct 18, 2020
Yair Schiff, Vijil Chenthamarakshan, Karthikeyan Natesan Ramamurthy, Payel Das


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Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness


Apr 30, 2020
Pu Zhao, Pin-Yu Chen, Payel Das, Karthikeyan Natesan Ramamurthy, Xue Lin

* accepted by ICLR 2020 

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Model Agnostic Multilevel Explanations


Mar 12, 2020
Karthikeyan Natesan Ramamurthy, Bhanukiran Vinzamuri, Yunfeng Zhang, Amit Dhurandhar

* 21 pages, 9 figures, 1 table 

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Drug Repurposing for Cancer: An NLP Approach to Identify Low-Cost Therapies


Dec 05, 2019
Shivashankar Subramanian, Ioana Baldini, Sushma Ravichandran, Dmitriy A. Katz-Rogozhnikov, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Kush R. Varshney, Annmarie Wang, Pradeep Mangalath, Laura B. Kleiman


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Understanding racial bias in health using the Medical Expenditure Panel Survey data


Nov 04, 2019
Moninder Singh, Karthikeyan Natesan Ramamurthy

* 8 pages, 8 tables 

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Teaching AI to Explain its Decisions Using Embeddings and Multi-Task Learning


Jun 05, 2019
Noel C. F. Codella, Michael Hind, Karthikeyan Natesan Ramamurthy, Murray Campbell, Amit Dhurandhar, Kush R. Varshney, Dennis Wei, Aleksandra Mojsilović

* presented at 2019 ICML Workshop on Human in the Loop Learning (HILL 2019), Long Beach, USA. arXiv admin note: substantial text overlap with arXiv:1805.11648 

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PI-Net: A Deep Learning Approach to Extract Topological Persistence Images


Jun 05, 2019
Anirudh Som, Hongjun Choi, Karthikeyan Natesan Ramamurthy, Matthew Buman, Pavan Turaga

* 13 pages, 13 figures, 5 tables 

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Optimized Score Transformation for Fair Classification


May 31, 2019
Dennis Wei, Karthikeyan Natesan Ramamurthy, Flavio du Pin Calmon

* 24 pages, 7 figures 

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Counting and Segmenting Sorghum Heads


May 30, 2019
Min-hwan Oh, Peder Olsen, Karthikeyan Natesan Ramamurthy

* 23 pages, 23 figures, 5 tables 

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Crowd Counting with Decomposed Uncertainty


Mar 15, 2019
Min-hwan Oh, Peder A. Olsen, Karthikeyan Natesan Ramamurthy

* arXiv admin note: text overlap with arXiv:1806.10040 by other authors 

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Bias Mitigation Post-processing for Individual and Group Fairness


Dec 14, 2018
Pranay K. Lohia, Karthikeyan Natesan Ramamurthy, Manish Bhide, Diptikalyan Saha, Kush R. Varshney, Ruchir Puri

* 5 pages, 4 figures 

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TED: Teaching AI to Explain its Decisions


Nov 12, 2018
Noel C. F. Codella, Michael Hind, Karthikeyan Natesan Ramamurthy, Murray Campbell, Amit Dhurandhar, Kush R. Varshney, Dennis Wei, Aleksandra Mojsilovic

* This article leverages some content from arXiv:1805.11648 

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AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias


Oct 03, 2018
Rachel K. E. Bellamy, Kuntal Dey, Michael Hind, Samuel C. Hoffman, Stephanie Houde, Kalapriya Kannan, Pranay Lohia, Jacquelyn Martino, Sameep Mehta, Aleksandra Mojsilovic, Seema Nagar, Karthikeyan Natesan Ramamurthy, John Richards, Diptikalyan Saha, Prasanna Sattigeri, Moninder Singh, Kush R. Varshney, Yunfeng Zhang

* 20 pages 

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Teaching Meaningful Explanations


Sep 11, 2018
Noel C. F. Codella, Michael Hind, Karthikeyan Natesan Ramamurthy, Murray Campbell, Amit Dhurandhar, Kush R. Varshney, Dennis Wei, Aleksandra Mojsilovic

* 9 pages 

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Increasing Trust in AI Services through Supplier's Declarations of Conformity


Aug 22, 2018
Michael Hind, Sameep Mehta, Aleksandra Mojsilovic, Ravi Nair, Karthikeyan Natesan Ramamurthy, Alexandra Olteanu, Kush R. Varshney


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Perturbation Robust Representations of Topological Persistence Diagrams


Jul 26, 2018
Anirudh Som, Kowshik Thopalli, Karthikeyan Natesan Ramamurthy, Vinay Venkataraman, Ankita Shukla, Pavan Turaga

* 19 pages, 4 figures, 6 tables 

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Topological Data Analysis of Decision Boundaries with Application to Model Selection


May 25, 2018
Karthikeyan Natesan Ramamurthy, Kush R. Varshney, Krishnan Mody

* Reproducible software available, 17 pages, 10 figures, 12 tables 

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Simultaneous Parameter Learning and Bi-Clustering for Multi-Response Models


Apr 29, 2018
Ming Yu, Karthikeyan Natesan Ramamurthy, Addie Thompson, Aurélie Lozano

* 15 pages, 15 figures 

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Exploring High-Dimensional Structure via Axis-Aligned Decomposition of Linear Projections


Dec 20, 2017
Jayaraman J. Thiagarajan, Shusen Liu, Karthikeyan Natesan Ramamurthy, Peer-Timo Bremer


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Distribution-Preserving k-Anonymity


Nov 05, 2017
Dennis Wei, Karthikeyan Natesan Ramamurthy, Kush R. Varshney

* Portions of this work were first presented at the 2015 SIAM International Conference on Data Mining 

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Multitask Learning using Task Clustering with Applications to Predictive Modeling and GWAS of Plant Varieties


Oct 04, 2017
Ming Yu, Addie M. Thompson, Karthikeyan Natesan Ramamurthy, Eunho Yang, Aurélie C. Lozano


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Distributed Bundle Adjustment


Aug 26, 2017
Karthikeyan Natesan Ramamurthy, Chung-Ching Lin, Aleksandr Aravkin, Sharath Pankanti, Raphael Viguier

* 9 pages 

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Learning Robust Representations for Computer Vision


Jul 31, 2017
Peng Zheng, Aleksandr Y. Aravkin, Karthikeyan Natesan Ramamurthy, Jayaraman Jayaraman Thiagarajan

* 8 pages, 7 pages 

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Shape Parameter Estimation


Jun 06, 2017
Peng Zheng, Aleksandr Y. Aravkin, Karthikeyan Natesan Ramamurthy

* 20 pages, 10 figures 

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