Karthikeyan Natesan Ramamurthy

According to our database, Karthikeyan Natesan Ramamurthy authored at least 132 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Multi-Level Explanations for Generative Language Models.

Lucas Monteiro Paes, Dennis Wei, Hyo Jin Do, Hendrik Strobelt, Ronny Luss, Amit Dhurandhar, Manish Nagireddy, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Werner Geyer, Soumya Ghosh

CoRR, 2024

Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations.

Swapnaja Achintalwar, Ioana Baldini, Djallel Bouneffouf, Joan Byamugisha, Maria Chang, Pierre L. Dognin, Eitan Farchi, Ndivhuwo Makondo, Aleksandra Mojsilovic, Manish Nagireddy, Karthikeyan Natesan Ramamurthy, Inkit Padhi, Orna Raz, Jesus Rios, Prasanna Sattigeri, Moninder Singh, Siphiwe Thwala, Rosario A. Uceda-Sosa, Kush R. Varshney

CoRR, 2024

Ranking Large Language Models without Ground Truth.

Amit Dhurandhar, Rahul Nair, Moninder Singh, Elizabeth Daly, Karthikeyan Natesan Ramamurthy

CoRR, 2024

Trust Regions for Explanations via Black-Box Probabilistic Certification.

Amit Dhurandhar, Swagatam Haldar, Dennis Wei, Karthikeyan Natesan Ramamurthy

CoRR, 2024

Position Paper: Challenges and Opportunities in Topological Deep Learning.

Theodore Papamarkou, Tolga Birdal, Michael Bronstein, Gunnar Carlsson, Justin Curry, Yue Gao, Mustafa Hajij, Roland Kwitt, Pietro Liò, Paolo Di Lorenzo, Vasileios Maroulas, Nina Miolane, Farzana Nasrin, Karthikeyan Natesan Ramamurthy, Bastian Rieck, Simone Scardapane, Michael T. Schaub, Petar Velickovic, Bei Wang, Yusu Wang, Guo-Wei Wei, Ghada Zamzmi

CoRR, 2024

TopoX: A Suite of Python Packages for Machine Learning on Topological Domains.

Mustafa Hajij, Mathilde Papillon, Florian Frantzen, Jens Agerberg, Ibrahem AlJabea, Rubén Ballester, Claudio Battiloro, Guillermo Bernárdez, Tolga Birdal, Aiden Brent, Peter Chin, Sergio Escalera, Simone Fiorellino, Odin Hoff Gardaa, Gurusankar Gopalakrishnan, Devendra Govil, Josef Hoppe, Maneel Reddy Karri, Jude Khouja, Manuel Lecha, Neal Livesay, Jan Meißner, Soham Mukherjee, Alexander Nikitin, Theodore Papamarkou, Jaro Prílepok, Karthikeyan Natesan Ramamurthy, Paul Rosen, Aldo Guzmán-Sáenz, Alessandro Salatiello, Shreyas N. Samaga, Simone Scardapane, Michael T. Schaub, Luca Scofano, Indro Spinelli, Lev Telyatnikov, Quang Truong, Robin Walters, Maosheng Yang, Olga Zaghen, Ghada Zamzmi, Ali Zia, Nina Miolane

CoRR, 2024

2023

ICML 2023 Topological Deep Learning Challenge : Design and Results.

Mathilde Papillon, Mustafa Hajij, Florian Frantzen, Josef Hoppe, Helen Jenne, Johan Mathe, Audun Myers, Theodore Papamarkou, Michael T. Schaub, Ghada Zamzmi, Tolga Birdal, Tamal K. Dey, Tim Doster, Tegan Emerson, Gurusankar Gopalakrishnan, Devendra Govil, Vincent P. Grande, Aldo Guzmán-Sáenz, Henry Kvinge, Neal Livesay, Jan Meissner, Soham Mukherjee, Shreyas N. Samaga, Karthikeyan Natesan Ramamurthy, Maneel Reddy Karri, Paul Rosen, Sophia Sanborn, Michael Scholkemper, Robin Walters, Jens Agerberg, Georg Bökman, Sadrodin Barikbin, Claudio Battiloro, Gleb Bazhenov, Guillermo Bernárdez, Aiden Brent, Sergio Escalera, Simone Fiorellino, Dmitrii Gavrilev, Mohammed Hassanin, Paul Häusner, Odin Hoff Gardaa, Abdelwahed Khamis, Manuel Lecha, German Magai, Tatiana Malygina, Pavlo Melnyk, et al.

CoRR, 2023

Function Composition in Trustworthy Machine Learning: Implementation Choices, Insights, and Questions.

Manish Nagireddy, Moninder Singh, Samuel C. Hoffman, Evaline Ju, Karthikeyan Natesan Ramamurthy, Kush R. Varshney

CoRR, 2023

Active Sequential Two-Sample Testing.

Weizhi Li, Karthikeyan Natesan Ramamurthy, Prad Kadambi, Pouria Saidi, Gautam Dasarathy, Visar Berisha

CoRR, 2023

ICML 2023 Topological Deep Learning Challenge: Design and Results.

Mathilde Papillon, Mustafa Hajij, Audun Myers, Florian Frantzen, Ghada Zamzmi, Helen Jenne, Johan Mathe, Josef Hoppe, Michael T. Schaub, Theodore Papamarkou, Aldo Guzmán-Sáenz, Bastian Rieck, Neal Livesay, Tamal K. Dey, Abraham Rabinowitz, Aiden Brent, Alessandro Salatiello, Alexander Nikitin, Ali Zia, Claudio Battiloro, Dmitrii Gavrilev, Georg Bökman, German Magai, Gleb Bazhenov, Guillermo Bernárdez, Indro Spinelli, Jens Agerberg, Kalyan Varma Nadimpalli, Lev Telyatnikov, Luca Scofano, Lucia Testa, Manuel Lecha, Maosheng Yang, Mohammed Hassanin, Odin Hoff Gardaa, Olga Zaghen, Paul Häusner, Paul Snopoff, Pavlo Melnyk, Rubén Ballester, Sadrodin Barikbin, Sergio Escalera, Simone Fiorellino, Henry Kvinge, Jan Meissner, Karthikeyan Natesan Ramamurthy, Michael Scholkemper, Paul Rosen, Robin Walters, Shreyas N. Samaga, Soham Mukherjee, Sophia Sanborn, Tegan Emerson, Timothy Doster, Tolga Birdal, Vincent P. Grande, Abdelwahed Khamis, Simone Scardapane, Suraj Singh, Tatiana Malygina, Yixiao Yue, Nina Miolane

Proceedings of the Topological, 2023

Cookie Consent Has Disparate Impact on Estimation Accuracy.

Erik Miehling, Rahul Nair, Elizabeth Daly, Karthikeyan Natesan Ramamurthy, Robert Redmond

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

The Impact of Positional Encoding on Length Generalization in Transformers.

Amirhossein Kazemnejad, Inkit Padhi, Karthikeyan Natesan Ramamurthy, Payel Das, Siva Reddy

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant Learning.

Amit Dhurandhar, Karthikeyan Natesan Ramamurthy, Kartik Ahuja, Vijay Arya

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

TOPO-MLP : A Simplicial Network without Message Passing.

Karthikeyan Natesan Ramamurthy, Aldo Guzmán-Sáenz, Mustafa Hajij

Proceedings of the IEEE International Conference on Acoustics, 2023

Add-Remove-or-Relabel: Practitioner-Friendly Bias Mitigation via Influential Fairness.

Brianna Richardson, Prasanna Sattigeri, Dennis Wei, Karthikeyan Natesan Ramamurthy, Kush R. Varshney, Amit Dhurandhar, Juan E. Gilbert

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Explainable Cross-Topic Stance Detection for Search Results.

Tim Draws, Karthikeyan Natesan Ramamurthy, Ioana Baldini, Amit Dhurandhar, Inkit Padhi, Benjamin Timmermans, Nava Tintarev

Proceedings of the 2023 Conference on Human Information Interaction and Retrieval, 2023

Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models.

Sourya Basu, Prasanna Sattigeri, Karthikeyan Natesan Ramamurthy, Vijil Chenthamarakshan, Kush R. Varshney, Lav R. Varshney, Payel Das

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Instruction Tools for Signal Processing and Machine Learning for Ion-Channel Sensors.

Prasanna Sattigeri, Jayaraman J. Thiagarajan, Karthikeyan Ramamurthy, Andreas Spanias, Mahesh K. Banavar, Abhinav Dixit, Jie Fan, Mohit Malu, Kristen Jaskie, Sunil Rao, Uday Shankar Shanthamallu, Vivek Sivaraman Narayanaswamy, Sameeksha Katoch

Int. J. Virtual Pers. Learn. Environ., 2022

Higher-Order Attention Networks.

Mustafa Hajij, Ghada Zamzmi, Theodore Papamarkou, Nina Miolane, Aldo Guzmán-Sáenz, Karthikeyan Natesan Ramamurthy

CoRR, 2022

Analogies and Feature Attributions for Model Agnostic Explanation of Similarity Learners.

Karthikeyan Natesan Ramamurthy, Amit Dhurandhar, Dennis Wei, Zaid Bin Tariq

CoRR, 2022

A label efficient two-sample test.

Weizhi Li, Gautam Dasarathy, Karthikeyan Natesan Ramamurthy, Visar Berisha

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Is this the Right Neighborhood? Accurate and Query Efficient Model Agnostic Explanations.

Amit Dhurandhar, Karthikeyan Natesan Ramamurthy, Karthikeyan Shanmugam

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Augmenting Molecular Deep Generative Models with Topological Data Analysis Representations.

Yair Schiff, Vijil Chenthamarakshan, Samuel C. Hoffman, Karthikeyan Natesan Ramamurthy, Payel Das

Proceedings of the IEEE International Conference on Acoustics, 2022

Uncertainty Quantification 360: A Hands-on Tutorial.

Soumya Ghosh, Q. Vera Liao, Karthikeyan Natesan Ramamurthy, Jirí Navrátil, Prasanna Sattigeri, Kush R. Varshney, Yunfeng Zhang

Proceedings of the CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD), Bangalore, India, January 8, 2022

Your fairness may vary: Pretrained language model fairness in toxic text classification.

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

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Estimating Shape Parameters of Piecewise Linear-Quadratic Problems.

Peng Zheng, Karthikeyan Natesan Ramamurthy, Aleksandr Y. Aravkin

Open J. Math. Optim., 2021

Optimized Score Transformation for Consistent Fair Classification.

Dennis Wei, Karthikeyan Natesan Ramamurthy, Flávio P. Calmon

J. Mach. Learn. Res., 2021

Ground-Truth, Whose Truth? - Examining the Challenges with Annotating Toxic Text Datasets.

Kofi Arhin, Ioana Baldini, Dennis Wei, Karthikeyan Natesan Ramamurthy, Moninder Singh

CoRR, 2021

Data-Centric AI Requires Rethinking Data Notion.

Mustafa Hajij, Ghada Zamzmi, Karthikeyan Natesan Ramamurthy, Aldo Guzmán-Sáenz

CoRR, 2021

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

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

CoRR, 2021

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

Soumya Ghosh, Q. Vera Liao, Karthikeyan Natesan Ramamurthy, Jirí Navrátil, Prasanna Sattigeri, Kush R. Varshney, Yunfeng Zhang

CoRR, 2021

Conditionally independent data generation.

Kartik Ahuja, Prasanna Sattigeri, Karthikeyan Shanmugam, Dennis Wei, Karthikeyan Natesan Ramamurthy, Murat Kocaoglu

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

2020

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

Yair Schiff, Vijil Chenthamarakshan, Karthikeyan Natesan Ramamurthy, Payel Das

CoRR, 2020

Model Agnostic Multilevel Explanations.

Karthikeyan Natesan Ramamurthy, Bhanukiran Vinzamuri, Yunfeng Zhang, Amit Dhurandhar

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Finding the Homology of Decision Boundaries with Active Learning.

Weizhi Li, Gautam Dasarathy, Karthikeyan Natesan Ramamurthy, Visar Berisha

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Model Projection: Theory and Applications to Fair Machine Learning.

Wael Alghamdi, Shahab Asoodeh, Hao Wang, Flávio P. Calmon, Dennis Wei, Karthikeyan Natesan Ramamurthy

Proceedings of the IEEE International Symposium on Information Theory, 2020

Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness.

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

Proceedings of the 8th International Conference on Learning Representations, 2020

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

Anirudh Som, Hongjun Choi, Karthikeyan Natesan Ramamurthy, Matthew P. Buman, Pavan K. Turaga

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Optimized Score Transformation for Fair Classification.

Dennis Wei, Karthikeyan Natesan Ramamurthy, Flávio P. Calmon

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Treeview and Disentangled Representations for Explaining Deep Neural Networks Decisions.

Prasanna Sattigeri, Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Bhavya Kailkhura

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

A Natural Language Processing System for Extracting Evidence of Drug Repurposing from Scientific Publications.

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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Crowd Counting with Decomposed Uncertainty.

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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Think Your Artificial Intelligence Software Is Fair? Think Again.

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

IEEE Softw., 2019

AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias.

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 T. Richards, Diptikalyan Saha, Prasanna Sattigeri, Moninder Singh, Kush R. Varshney, Yunfeng Zhang

IBM J. Res. Dev., 2019

FactSheets: Increasing trust in AI services through supplier's declarations of conformity.

Matthew Arnold, Rachel K. E. Bellamy, Michael Hind, Stephanie Houde, Sameep Mehta, Aleksandra Mojsilovic, Ravi Nair, Karthikeyan Natesan Ramamurthy, Alexandra Olteanu, David Piorkowski, Darrell Reimer, John T. Richards, Jason Tsay, Kush R. Varshney

IBM J. Res. Dev., 2019

Simultaneous Parameter Learning and Bi-clustering for Multi-Response Models.

Ming Yu, Karthikeyan Natesan Ramamurthy, Addie M. Thompson, Aurélie C. Lozano

Frontiers Big Data, 2019

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

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

CoRR, 2019

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

Moninder Singh, Karthikeyan Natesan Ramamurthy

CoRR, 2019

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

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

CoRR, 2019

Counting and Segmenting Sorghum Heads.

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

CoRR, 2019

Topological Data Analysis of Decision Boundaries with Application to Model Selection.

Karthikeyan Natesan Ramamurthy, Kush R. Varshney, Krishnan Mody

Proceedings of the 36th International Conference on Machine Learning, 2019

Bias Mitigation Post-processing for Individual and Group Fairness.

Pranay Kr. Lohia, Karthikeyan Natesan Ramamurthy, Manish Bhide, Diptikalyan Saha, Kush R. Varshney, Ruchir Puri

Proceedings of the IEEE International Conference on Acoustics, 2019

TED: Teaching AI to Explain its Decisions.

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

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

Fair Transfer Learning with Missing Protected Attributes.

Amanda Coston, Karthikeyan Natesan Ramamurthy, Dennis Wei, Kush R. Varshney, Skyler Speakman, Zairah Mustahsan, Supriyo Chakraborty

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

2018

Distribution-preserving k-anonymity.

Dennis Wei, Karthikeyan Natesan Ramamurthy, Kush R. Varshney

Stat. Anal. Data Min., 2018

Data Pre-Processing for Discrimination Prevention: Information-Theoretic Optimization and Analysis.

Flávio du Pin Calmon, Dennis Wei, Bhanukiran Vinzamuri, Karthikeyan Natesan Ramamurthy, Kush R. Varshney

IEEE J. Sel. Top. Signal Process., 2018

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

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 T. Richards, Diptikalyan Saha, Prasanna Sattigeri, Moninder Singh, Kush R. Varshney, Yunfeng Zhang

CoRR, 2018

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

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

CoRR, 2018

Teaching Meaningful Explanations.

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

CoRR, 2018

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

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

Comput. Graph. Forum, 2018

Perturbation Robust Representations of Topological Persistence Diagrams.

Anirudh Som, Kowshik Thopalli, Karthikeyan Natesan Ramamurthy, Vinay Venkataraman, Ankita Shukla, Pavan K. Turaga

Proceedings of the Computer Vision - ECCV 2018, 2018

Detecting and Counting Panicles in Sorghum Images.

Peder A. Olsen, Karthikeyan Natesan Ramamurthy, Javier Ribera, Yuhao Chen, Addie M. Thompson, Ronny Luss, Mitch Tuinstra, Naoki Abe

Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

2017

How to foster innovation: A data-driven approach to measuring economic competitiveness.

Caitlin Kuhlman, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Aurélie C. Lozano, Lei Cao, C. Reddy, Aleksandra Mojsilovic, Kush R. Varshney

IBM J. Res. Dev., 2017

An End-To-End Machine Learning Pipeline That Ensures Fairness Policies.

Samiulla Shaikh, Harit Vishwakarma, Sameep Mehta, Kush R. Varshney, Karthikeyan Natesan Ramamurthy, Dennis Wei

CoRR, 2017

Optimized Data Pre-Processing for Discrimination Prevention.

Flávio du Pin Calmon, Dennis Wei, Karthikeyan Natesan Ramamurthy, Kush R. Varshney

CoRR, 2017

Optimized Pre-Processing for Discrimination Prevention.

Flávio P. Calmon, Dennis Wei, Bhanukiran Vinzamuri, Karthikeyan Natesan Ramamurthy, Kush R. Varshney

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Learning Robust Representations for Computer Vision.

Peng Zheng, Aleksandr Y. Aravkin, Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Distributed Bundle Adjustment.

Karthikeyan Natesan Ramamurthy, Chung-Ching Lin, Aleksandr Y. Aravkin, Sharath Pankanti, Raphael Viguier

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

A deep learning approach to multiple kernel fusion.

Huan Song, Jayaraman J. Thiagarajan, Prasanna Sattigeri, Karthikeyan Natesan Ramamurthy, Andreas Spanias

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Multiscale evolution of attractor-shape descriptors for assessing Parkinson's disease severity.

Anirudh Som, Narayanan Krishnamurthi, Vinay Venkataraman, Karthikeyan Natesan Ramamurthy, Pavan K. Turaga

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Propensity modeling for employee Re-skilling.

Moninder Singh, Karthikeyan Natesan Ramamurthy, Shrihari Vasudevan

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

A configurable, big data system for on-demand healthcare cost prediction.

Karthikeyan Natesan Ramamurthy, Dennis Wei, Emily Ray, Moninder Singh, Vijay S. Iyengar, Dmitriy A. Katz-Rogozhnikov, Jingwei Yang, Kevin N. Tran, Gigi Y. Yuen-Reed

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

TreeView: Peeking into Deep Neural Networks Via Feature-Space Partitioning.

Jayaraman J. Thiagarajan, Bhavya Kailkhura, Prasanna Sattigeri, Karthikeyan Natesan Ramamurthy

CoRR, 2016

Measuring glomerular number from kidney MRI images.

Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Berkay Kanberoglu, David H. Frakes, Kevin Bennett, Andreas Spanias

Proceedings of the Medical Imaging 2016: Image Processing, 2016

Persistent homology of attractors for action recognition.

Vinay Venkataraman, Karthikeyan Natesan Ramamurthy, Pavan K. Turaga

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Auto-context modeling using multiple Kernel learning.

Huan Song, Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Andreas Spanias

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Robust Local Scaling Using Conditional Quantiles of Graph Similarities.

Jayaraman J. Thiagarajan, Prasanna Sattigeri, Karthikeyan Natesan Ramamurthy, Bhavya Kailkhura

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Empirically-estimable multi-class classification bounds.

Alan Wisler, Visar Berisha, Dennis Wei, Karthikeyan Ramamurthy, Andreas Spanias

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Consensus inference on mobile phone sensors for activity recognition.

Huan Song, Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Andreas Spanias, Pavan K. Turaga

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Beyond L2-loss functions for learning sparse models.

Karthikeyan Natesan Ramamurthy, Aleksandr Y. Aravkin, Jayaraman J. Thiagarajan

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

A Riemannian Framework for Statistical Analysis of Topological Persistence Diagrams.

Rushil Anirudh, Vinay Venkataraman, Karthikeyan Natesan Ramamurthy, Pavan K. Turaga

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

2015

Learning Stable Multilevel Dictionaries for Sparse Representations.

Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Andreas Spanias

IEEE Trans. Neural Networks Learn. Syst., 2015

Data Challenges in Disease Response: The 2014 Ebola Outbreak and Beyond.

Kush R. Varshney, Dennis Wei, Karthikeyan Natesan Ramamurthy, Aleksandra Mojsilovic

ACM J. Data Inf. Qual., 2015

Undergraduate Signal Processing Laboratories for the Android Operating System.

Suhas Ranganath, Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Shuang Hu, Mahesh K. Banavar, Andreas Spanias

CoRR, 2015

Robust Partially-Compressed Least-Squares.

Stephen Becker, Ban Kawas, Marek Petrik, Karthikeyan Natesan Ramamurthy

CoRR, 2015

Health Insurance Market Risk Assessment: Covariate Shift and k-Anonymity.

Dennis Wei, Karthikeyan Natesan Ramamurthy, Kush R. Varshney

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Identifying Employees for Re-skilling Using an Analytics-Based Approach.

Karthikeyan Natesan Ramamurthy, Moninder Singh, Michael Davis, J. Alex Kevern, Uri Klein, Michael Peran

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Toward Comprehensive Attribution of Healthcare Cost Changes.

Dmitriy A. Katz-Rogozhnikov, Dennis Wei, Gigi Y. Yuen-Reed, Karthikeyan Natesan Ramamurthy, Aleksandra Mojsilovic

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Removing data with noisy responses in regression analysis.

Alan Wisler, Visar Berisha, Karthikeyan Ramamurthy, Andreas Spanias, Julie Liss

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Persistent topology of decision boundaries.

Kush R. Varshney, Karthikeyan Natesan Ramamurthy

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Subspace learning using consensus on the grassmannian manifold.

Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

A talent management tool using propensity to leave analytics.

Karthikeyan Natesan Ramamurthy, Moninder Singh, Yichong Yu, Jessica Aspis, Matthew Iames, Michael Peran, Qin S. Held

Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

Adaptive as-natural-as-possible image stitching.

Chung-Ching Lin, Sharathchandra Pankanti, Karthikeyan Natesan Ramamurthy, Aleksandr Y. Aravkin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Image Understanding Using Sparse Representations

Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Pavan K. Turaga, Andreas Spanias

Synthesis Lectures on Image, Video, and Multimedia Processing, Morgan & Claypool Publishers, ISBN: 978-3-031-02250-0, 2014

Multiple Kernel Sparse Representations for Supervised and Unsupervised Learning.

Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Andreas Spanias

IEEE Trans. Image Process., 2014

Kernel Sparse Models for Automated Tumor Segmentation.

Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Deepta Rajan, Andreas Spanias, Anup Puri, David H. Frakes

Int. J. Artif. Intell. Tools, 2014

Recovering non-negative and combined sparse representations.

Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Andreas Spanias

Digit. Signal Process., 2014

Multiplicative regression via constrained least squares.

Dennis Wei, Karthikeyan Natesan Ramamurthy, Dmitriy A. Katz-Rogozhnikov, Aleksandra Mojsilovic

Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

Computing persistent homology under random projection.

Karthikeyan Natesan Ramamurthy, Kush R. Varshney, Jayaraman J. Thiagarajan

Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

Kalman smoothing with persistent nuisance parameters.

Aleksandr Y. Aravkin, Karthikeyan Natesan Ramamurthy, Gianluigi Pillonetto

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Automatic image annotation using inverse maps from semantic embeddings.

Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Peer-Timo Bremer, Andreas Spanias

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Multiple kernel interpolation for inverting non-linear dimensionality reduction and dimension estimation.

Jayaraman J. Thiagarajan, Peer-Timo Bremer, Karthikeyan Natesan Ramamurthy

Proceedings of the IEEE International Conference on Acoustics, 2014

A scalable feature learning and tag prediction framework for natural environment sounds.

Prasanna Sattigeri, Jayaraman J. Thiagarajan, Mohit Shah, Karthikeyan Natesan Ramamurthy, Andreas Spanias

Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

Consensus inference with multilayer graphs for multi-modal data.

Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Rahul Sridhar, Premnishanth Kothandaraman, Ramanathan Nachiappan

Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013

New Directions in Sparse Models for Image Analysis and Restoration.

Karthikeyan Natesan Ramamurthy

PhD thesis, 2013

Mixing matrix estimation using discriminative clustering for blind source separation.

Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Andreas Spanias

Digit. Signal Process., 2013

Learning Stable Multilevel Dictionaries for Sparse Representation of Images

Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Andreas Spanias

CoRR, 2013

Ensemble Sparse Models for Image Analysis

Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Prasanna Sattigeri, Andreas Spanias

CoRR, 2013

Quantifying and Recommending Expertise When New Skills Emerge.

DongPing Fang, Kush R. Varshney, Jun Wang, Karthikeyan Natesan Ramamurthy, Aleksandra Mojsilovic, John H. Bauer

Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Boosted dictionaries for image restoration based on sparse representations.

Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Andreas Spanias, Prasanna Sattigeri

Proceedings of the IEEE International Conference on Acoustics, 2013

A heterogeneous dictionary model for representation and recognition of human actions.

Rushil Anirudh, Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Pavan K. Turaga, Andreas Spanias

Proceedings of the IEEE International Conference on Acoustics, 2013

Quantile regression for workforce analytics.

Karthikeyan Natesan Ramamurthy, Kush R. Varshney, Moninder Singh

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Interactive tools for global sustainability and Earth systems: Sea level change and temperature.

Linda Hinnov, Karthikeyan Natesan Ramamurthy, Huan Song, Mahesh K. Banavar, Louis Spanias

Proceedings of the IEEE Frontiers in Education Conference, 2013

2012

Learning Multilevel Dictionaries for Compressed Sensing Using Discriminative Clustering.

Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Andreas Spanias, Panos Nasiopoulos

Proceedings of the Eighth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2012

Supervised local sparse coding of sub-image features for image retrieval.

Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Andreas Spanias

Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Work in progress: Performing signal analysis laboratories using Android devices.

Suhas Ranganath, Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Shuang Hu, Mahesh K. Banavar, Andreas Spanias

Proceedings of the IEEE Frontiers in Education Conference, 2012

Workshop: Interactive education tools for earth systems and sustainability applications.

Linda Hinnov, Andreas Spanias, Karthikeyan Natesan Ramamurthy, Girish Kalyanasundaram

Proceedings of the IEEE Frontiers in Education Conference, 2012

Implementation of a fast image coding and retrieval system using a GPU.

Prasanna Sattigeri, Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Andreas Spanias

Proceedings of the 2012 IEEE International Conference on Emerging Signal Processing Applications, 2012

Automated tumor segmentation using kernel sparse representations.

Jayaraman J. Thiagarajan, Deepta Rajan, Karthikeyan Natesan Ramamurthy, David H. Frakes, Andreas Spanias

Proceedings of the 12th IEEE International Conference on Bioinformatics & Bioengineering, 2012

Learning dictionaries with graph embedding constraints.

Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Prasanna Sattigeri, Andreas Spanias

Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

2011

Optimality and stability of the K-hyperline clustering algorithm.

Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Andreas Spanias

Pattern Recognit. Lett., 2011

Transform domain features for ion-channel signal classification.

Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Prasanna Sattigeri, Michael Goryll, Andreas Spanias, Trevor Thornton, Stephen M. Phillips

Biomed. Signal Process. Control., 2011

Improved sparse coding using manifold projections.

Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Andreas Spanias

Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Analyte detection using an ion-channel sensor array.

Prasanna Sattigeri, Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Michael Goryll, Andreas Spanias, Trevor Thornton

Proceedings of the 17th International Conference on Digital Signal Processing, 2011

Work in progress - Interactive signal-processing labs and simulations on iOS devices.

Jinru Liu, Andreas Spanias, Mahesh K. Banavar, Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Shuang Hu, Xue Zhang

Proceedings of the 2011 Frontiers in Education Conference, 2011

Work in progress: The J-DSP/ESE software for analyzing Earth systems signals.

Linda Hinnov, Karthikeyan Natesan Ramamurthy, Andreas Spanias

Proceedings of the 2011 Frontiers in Education Conference, 2011

Optimized measurements for kernel compressive sensing.

Karthikeyan Natesan Ramamurthy, Andreas Spanias

Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010

MATLAB Software for the Code Excited Linear Prediction Algorithm: The Federal Standard-1016

Karthikeyan Natesan Ramamurthy, Andreas Spanias

Synthesis Lectures on Algorithms and Software in Engineering, Morgan & Claypool Publishers, ISBN: 978-3-031-01514-4, 2010

Dimensionality Reduction for Distance Based Video Clustering.

Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Andreas Spanias

Proceedings of the Artificial Intelligence Applications and Innovations, 2010

2009

Template Learning using Wavelet Domain Statistical Models.

Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Andreas Spanias

Proceedings of the Research and Development in Intelligent Systems XXVI, 2009

Fast image registration with non-stationary Gauss-Markov random field templates.

Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Andreas Spanias

Proceedings of the International Conference on Image Processing, 2009

2008

Sparse Representations for Pattern Classification using Learned Dictionaries.

Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Andreas Spanias

Proceedings of the Research and Development in Intelligent Systems XXV, 2008