Karthikeyan Natesan Ramamurthy

184 papers A* 15A 4B 11C 8Misc 15Journal 92Unranked 36

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AI Steerability 360: A Toolkit for Steering Large Language Models. CoRR Erik Miehling, Karthikeyan Natesan Ramamurthy, Praveen Venkateswaran, Irene Ko, Pierre L. Dognin, Moninder Singh, Tejaswini Pedapati, Avinash Balakrishnan, Matthew Riemer, Dennis Wei, Inge Vejsbjerg, Elizabeth M. Daly, Kush R. Varshney
2026	J	`jnl`	AgentSCOPE: Evaluating Contextual Privacy Across Agentic Workflows. CoRR Ivoline C. Ngong, Keerthiram Murugesan, Swanand Kadhe, Justin D. Weisz, Amit Dhurandhar, Karthikeyan Natesan Ramamurthy
2026	—	`conf`	CURE2026: Communicating Uncertainty to foster Realistic Expectations via Human-Centered Design. IUI Companion Jasmina Gajcin, Jovan Jeromela, Joel Wester, Sarah Schömbs, Styliani Kleanthous, Karthikeyan Natesan Ramamurthy, Hanna Hauptmann, Rifat Mehreen Amin
2026	J	`jnl`	CoFrGeNet: Continued Fraction Architectures for Language Generation. CoRR Amit Dhurandhar, Vijil Chenthamarakshan, Dennis Wei, Tejaswini Pedapati, Karthikeyan Natesan Ramamurthy, Rahul Nair
2025	J	`jnl`	Agentic AI Needs a Systems Theory. CoRR Erik Miehling, Karthikeyan Natesan Ramamurthy, Kush R. Varshney, Matthew Riemer, Djallel Bouneffouf, John T. Richards, Amit Dhurandhar, Elizabeth M. Daly, Michael Hind, Prasanna Sattigeri, Dennis Wei, Ambrish Rawat, Jasmina Gajcin, Werner Geyer
2025	—	`conf`	Conceptual Diagnostics for Knowledge Graphs and Large Language Models. ACL (6) Rosario Uceda-Sosa, Maria Chang, Karthikeyan Natesan Ramamurthy, Moninder Singh
2025	J	`jnl`	Cross-Examiner: Evaluating Consistency of Large Language Model-Generated Explanations. CoRR Danielle Villa, Maria D. Chang, Keerthiram Murugesan, Rosario Uceda-Sosa, Karthikeyan Natesan Ramamurthy
2025	—	`conf`	Evaluating the Prompt Steerability of Large Language Models. NAACL (Long Papers) Erik Miehling, Michael Desmond, Karthikeyan Natesan Ramamurthy, Elizabeth M. Daly, Kush R. Varshney, Eitan Farchi, Pierre L. Dognin, Jesus Rios, Djallel Bouneffouf, Miao Liu, Prasanna Sattigeri
2025	J	`jnl`	ICX360: In-Context eXplainability 360 Toolkit. CoRR Dennis Wei, Ronny Luss, Xiaomeng Hu, Lucas Monteiro Paes, Pin-Yu Chen, Karthikeyan Natesan Ramamurthy, Erik Miehling, Inge Vejsbjerg, Hendrik Strobelt
2025	J	`jnl`	Language Models Coupled with Metacognition Can Outperform Reasoning Models. CoRR Vedant Khandelwal, Francesca Rossi, Keerthiram Murugesan, Erik Miehling, Murray Campbell, Karthikeyan Natesan Ramamurthy, Lior Horesh
2025	—	`conf`	Multi-Level Explanations for Generative Language Models. ACL (1) 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
2025	A*	`conf`	Programming Refusal with Conditional Activation Steering. ICLR Bruce W. Lee, Inkit Padhi, Karthikeyan Natesan Ramamurthy, Erik Miehling, Pierre L. Dognin, Manish Nagireddy, Amit Dhurandhar
2025	—	`conf`	Protecting Users From Themselves: Safeguarding Contextual Privacy in Interactions with Conversational Agents. ACL (Findings) Ivoline C. Ngong, Swanand Ravindra Kadhe, Hao Wang, Keerthiram Murugesan, Justin D. Weisz, Amit Dhurandhar, Karthikeyan Natesan Ramamurthy
2025	J	`jnl`	Protecting Users From Themselves: Safeguarding Contextual Privacy in Interactions with Conversational Agents. CoRR Ivoline C. Ngong, Swanand Kadhe, Hao Wang, Keerthiram Murugesan, Justin D. Weisz, Amit Dhurandhar, Karthikeyan Natesan Ramamurthy
2025	—	`conf`	Sparsity May Be All You Need: Sparse Random Parameter Adaptation. EMNLP (Findings) Jesus Rios, Pierre L. Dognin, Ronny Luss, Karthikeyan Natesan Ramamurthy
2024	J	`jnl`	Active Sequential Two-Sample Testing. Trans. Mach. Learn. Res. Weizhi Li, Prad Kadambi, Pouria Saidi, Karthikeyan Natesan Ramamurthy, Gautam Dasarathy, Visar Berisha
2024	J	`jnl`	Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations. CoRR 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
2024	J	`jnl`	Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations. IEEE Internet Comput. 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
2024	J	`jnl`	Evaluating the Prompt Steerability of Large Language Models. CoRR Erik Miehling, Michael Desmond, Karthikeyan Natesan Ramamurthy, Elizabeth M. Daly, Pierre L. Dognin, Jesus Rios, Djallel Bouneffouf, Miao Liu
2024	J	`jnl`	Final-Model-Only Data Attribution with a Unifying View of Gradient-Based Methods. CoRR Dennis Wei, Inkit Padhi, Soumya Ghosh, Amit Dhurandhar, Karthikeyan Natesan Ramamurthy, Maria Chang
2024	J	`jnl`	Identifying Sub-networks in Neural Networks via Functionally Similar Representations. CoRR Tian Gao, Amit Dhurandhar, Karthikeyan Natesan Ramamurthy, Dennis Wei
2024	J	`jnl`	Multi-Level Explanations for Generative Language Models. CoRR 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
2024	J	`jnl`	Position Paper: Challenges and Opportunities in Topological Deep Learning. CoRR Theodore Papamarkou, Tolga Birdal, Michael M. Bronstein, Gunnar E. 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
2024	A*	`conf`	Position: Topological Deep Learning is the New Frontier for Relational Learning. ICML Theodore Papamarkou, Tolga Birdal, Michael M. Bronstein, Gunnar E. Carlsson, Justin Curry, Yue Gao, Mustafa Hajij, Roland Kwitt, Pietro Lio, 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
2024	J	`jnl`	Programming Refusal with Conditional Activation Steering. CoRR Bruce W. Lee, Inkit Padhi, Karthikeyan Natesan Ramamurthy, Erik Miehling, Pierre L. Dognin, Manish Nagireddy, Amit Dhurandhar
2024	—	`conf`	Ranking Large Language Models without Ground Truth. ACL (Findings) Amit Dhurandhar, Rahul Nair, Moninder Singh, Elizabeth Daly, Karthikeyan Natesan Ramamurthy
2024	J	`jnl`	Ranking Large Language Models without Ground Truth. CoRR Amit Dhurandhar, Rahul Nair, Moninder Singh, Elizabeth Daly, Karthikeyan Natesan Ramamurthy
2024	J	`jnl`	Reasoning about concepts with LLMs: Inconsistencies abound. CoRR Rosario Uceda-Sosa, Karthikeyan Natesan Ramamurthy, Maria Chang, Moninder Singh
2024	J	`jnl`	TopoX: A Suite of Python Packages for Machine Learning on Topological Domains. CoRR 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
2024	J	`jnl`	TopoX: A Suite of Python Packages for Machine Learning on Topological Domains. J. Mach. Learn. Res. 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
2024	A*	`conf`	Trust Regions for Explanations via Black-Box Probabilistic Certification. ICML Amit Dhurandhar, Swagatam Haldar, Dennis Wei, Karthikeyan Natesan Ramamurthy
2024	J	`jnl`	Trust Regions for Explanations via Black-Box Probabilistic Certification. CoRR Amit Dhurandhar, Swagatam Haldar, Dennis Wei, Karthikeyan Natesan Ramamurthy
2024	—	`conf`	Value Alignment from Unstructured Text. EMNLP (Industry Track) Inkit Padhi, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Manish Nagireddy, Pierre L. Dognin, Kush R. Varshney
2024	J	`jnl`	Value Alignment from Unstructured Text. CoRR Inkit Padhi, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Manish Nagireddy, Pierre L. Dognin, Kush R. Varshney
2023	J	`jnl`	Active Sequential Two-Sample Testing. CoRR Weizhi Li, Karthikeyan Natesan Ramamurthy, Prad Kadambi, Pouria Saidi, Gautam Dasarathy, Visar Berisha
2023	—	`conf`	Add-Remove-or-Relabel: Practitioner-Friendly Bias Mitigation via Influential Fairness. FAccT Brianna Richardson, Prasanna Sattigeri, Dennis Wei, Karthikeyan Natesan Ramamurthy, Kush R. Varshney, Amit Dhurandhar, Juan E. Gilbert
2023	A*	`conf`	Cookie Consent Has Disparate Impact on Estimation Accuracy. NeurIPS Erik Miehling, Rahul Nair, Elizabeth Daly, Karthikeyan Natesan Ramamurthy, Robert Redmond
2023	A*	`conf`	Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models. AAAI Sourya Basu, Prasanna Sattigeri, Karthikeyan Natesan Ramamurthy, Vijil Chenthamarakshan, Kush R. Varshney, Lav R. Varshney, Payel Das
2023	B	`conf`	Explainable Cross-Topic Stance Detection for Search Results. CHIIR Tim Draws, Karthikeyan Natesan Ramamurthy, Ioana Baldini, Amit Dhurandhar, Inkit Padhi, Benjamin Timmermans, Nava Tintarev
2023	J	`jnl`	Function Composition in Trustworthy Machine Learning: Implementation Choices, Insights, and Questions. CoRR Manish Nagireddy, Moninder Singh, Samuel C. Hoffman, Evaline Ju, Karthikeyan Natesan Ramamurthy, Kush R. Varshney
2023	J	`jnl`	ICML 2023 Topological Deep Learning Challenge : Design and Results. CoRR 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.
2023	—	`conf`	ICML 2023 Topological Deep Learning Challenge: Design and Results. TAG-ML 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
2023	A*	`conf`	Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant Learning. NeurIPS Amit Dhurandhar, Karthikeyan Natesan Ramamurthy, Kartik Ahuja, Vijay Arya
2023	Misc	`conf`	TOPO-MLP : A Simplicial Network without Message Passing. ICASSP Karthikeyan Natesan Ramamurthy, Aldo Guzmán-Sáenz, Mustafa Hajij
2023	A*	`conf`	The Impact of Positional Encoding on Length Generalization in Transformers. NeurIPS Amirhossein Kazemnejad, Inkit Padhi, Karthikeyan Natesan Ramamurthy, Payel Das, Siva Reddy
2023	J	`jnl`	The Impact of Positional Encoding on Length Generalization in Transformers. CoRR Amirhossein Kazemnejad, Inkit Padhi, Karthikeyan Natesan Ramamurthy, Payel Das, Siva Reddy
2023	J	`jnl`	Topo-MLP : A Simplicial Network Without Message Passing. CoRR Karthikeyan Natesan Ramamurthy, Aldo Guzmán-Sáenz, Mustafa Hajij
2022	A	`conf`	A label efficient two-sample test. UAI Weizhi Li, Gautam Dasarathy, Karthikeyan Natesan Ramamurthy, Visar Berisha
2022	J	`jnl`	Analogies and Feature Attributions for Model Agnostic Explanation of Similarity Learners. CoRR Karthikeyan Natesan Ramamurthy, Amit Dhurandhar, Dennis Wei, Zaid Bin Tariq
2022	Misc	`conf`	Augmenting Molecular Deep Generative Models with Topological Data Analysis Representations. ICASSP Yair Schiff, Vijil Chenthamarakshan, Samuel C. Hoffman, Karthikeyan Natesan Ramamurthy, Payel Das
2022	J	`jnl`	Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models. CoRR Sourya Basu, Prasanna Sattigeri, Karthikeyan Natesan Ramamurthy, Vijil Chenthamarakshan, Kush R. Varshney, Lav R. Varshney, Payel Das
2022	J	`jnl`	Higher-Order Attention Networks. CoRR Mustafa Hajij, Ghada Zamzmi, Theodore Papamarkou, Nina Miolane, Aldo Guzmán-Sáenz, Karthikeyan Natesan Ramamurthy
2022	A*	`conf`	Is this the Right Neighborhood? Accurate and Query Efficient Model Agnostic Explanations. NeurIPS Amit Dhurandhar, Karthikeyan Natesan Ramamurthy, Karthikeyan Shanmugam
2022	—	`conf`	Uncertainty Quantification 360: A Hands-on Tutorial. COMAD/CODS Soumya Ghosh, Q. Vera Liao, Karthikeyan Natesan Ramamurthy, Jirí Navrátil, Prasanna Sattigeri, Kush R. Varshney, Yunfeng Zhang
2022	—	`conf`	Your fairness may vary: Pretrained language model fairness in toxic text classification. ACL (Findings) Ioana Baldini, Dennis Wei, Karthikeyan Natesan Ramamurthy, Moninder Singh, Mikhail Yurochkin
2021	J	`jnl`	A label efficient two-sample test. CoRR Weizhi Li, Gautam Dasarathy, Karthikeyan Natesan Ramamurthy, Visar Berisha
2021	J	`jnl`	Augmenting Molecular Deep Generative Models with Topological Data Analysis Representations. CoRR Yair Schiff, Vijil Chenthamarakshan, Samuel C. Hoffman, Karthikeyan Natesan Ramamurthy, Payel Das
2021	A	`conf`	Conditionally independent data generation. UAI Kartik Ahuja, Prasanna Sattigeri, Karthikeyan Shanmugam, Dennis Wei, Karthikeyan Natesan Ramamurthy, Murat Kocaoglu
2021	J	`jnl`	Data-Centric AI Requires Rethinking Data Notion. CoRR Mustafa Hajij, Ghada Zamzmi, Karthikeyan Natesan Ramamurthy, Aldo Guzmán-Sáenz
2021	J	`jnl`	Estimating Shape Parameters of Piecewise Linear-Quadratic Problems. Open J. Math. Optim. Peng Zheng, Karthikeyan Natesan Ramamurthy, Aleksandr Y. Aravkin
2021	J	`jnl`	Ground-Truth, Whose Truth? - Examining the Challenges with Annotating Toxic Text Datasets. CoRR Kofi Arhin, Ioana Baldini, Dennis Wei, Karthikeyan Natesan Ramamurthy, Moninder Singh
2021	J	`jnl`	Optimized Score Transformation for Consistent Fair Classification. J. Mach. Learn. Res. Dennis Wei, Karthikeyan Natesan Ramamurthy, Flávio P. Calmon
2021	J	`jnl`	Uncertainty Quantification 360: A Holistic Toolkit for Quantifying and Communicating the Uncertainty of AI. CoRR Soumya Ghosh, Q. Vera Liao, Karthikeyan Natesan Ramamurthy, Jirí Navrátil, Prasanna Sattigeri, Kush R. Varshney, Yunfeng Zhang
2021	J	`jnl`	Your fairness may vary: Group fairness of pretrained language models in toxic text classification. CoRR Ioana Baldini, Dennis Wei, Karthikeyan Natesan Ramamurthy, Mikhail Yurochkin, Moninder Singh
2020	A*	`conf`	A Natural Language Processing System for Extracting Evidence of Drug Repurposing from Scientific Publications. AAAI 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
2020	A*	`conf`	Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness. ICLR Pu Zhao, Pin-Yu Chen, Payel Das, Karthikeyan Natesan Ramamurthy, Xue Lin
2020	J	`jnl`	Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness. CoRR Pu Zhao, Pin-Yu Chen, Payel Das, Karthikeyan Natesan Ramamurthy, Xue Lin
2020	J	`jnl`	Characterizing the Latent Space of Molecular Deep Generative Models with Persistent Homology Metrics. CoRR Yair Schiff, Vijil Chenthamarakshan, Karthikeyan Natesan Ramamurthy, Payel Das
2020	A*	`conf`	Crowd Counting with Decomposed Uncertainty. AAAI Min-hwan Oh, Peder A. Olsen, Karthikeyan Natesan Ramamurthy
2020	A*	`conf`	Finding the Homology of Decision Boundaries with Active Learning. NeurIPS Weizhi Li, Gautam Dasarathy, Karthikeyan Natesan Ramamurthy, Visar Berisha
2020	J	`jnl`	Finding the Homology of Decision Boundaries with Active Learning. CoRR Weizhi Li, Gautam Dasarathy, Karthikeyan Natesan Ramamurthy, Visar Berisha
2020	A*	`conf`	Model Agnostic Multilevel Explanations. NeurIPS Karthikeyan Natesan Ramamurthy, Bhanukiran Vinzamuri, Yunfeng Zhang, Amit Dhurandhar
2020	J	`jnl`	Model Agnostic Multilevel Explanations. CoRR Karthikeyan Natesan Ramamurthy, Bhanukiran Vinzamuri, Yunfeng Zhang, Amit Dhurandhar
2020	B	`conf`	Model Projection: Theory and Applications to Fair Machine Learning. ISIT Wael Alghamdi, Shahab Asoodeh, Hao Wang, Flávio P. Calmon, Dennis Wei, Karthikeyan Natesan Ramamurthy
2020	A	`conf`	Optimized Score Transformation for Fair Classification. AISTATS Dennis Wei, Karthikeyan Natesan Ramamurthy, Flávio P. Calmon
2020	—	`conf`	PI-Net: A Deep Learning Approach to Extract Topological Persistence Images. CVPR Workshops Anirudh Som, Hongjun Choi, Karthikeyan Natesan Ramamurthy, Matthew P. Buman, Pavan K. Turaga
2020	Misc	`conf`	Treeview and Disentangled Representations for Explaining Deep Neural Networks Decisions. ACSSC Prasanna Sattigeri, Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Bhavya Kailkhura
2019	J	`jnl`	AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias. IBM J. Res. Dev. 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
2019	Misc	`conf`	Bias Mitigation Post-processing for Individual and Group Fairness. ICASSP Pranay Kr. Lohia, Karthikeyan Natesan Ramamurthy, Manish Bhide, Diptikalyan Saha, Kush R. Varshney, Ruchir Puri
2019	J	`jnl`	Counting and Segmenting Sorghum Heads. CoRR Min-hwan Oh, Peder A. Olsen, Karthikeyan Natesan Ramamurthy
2019	J	`jnl`	Crowd Counting with Decomposed Uncertainty. CoRR Min-hwan Oh, Peder A. Olsen, Karthikeyan Natesan Ramamurthy
2019	J	`jnl`	Drug Repurposing for Cancer: An NLP Approach to Identify Low-Cost Therapies. CoRR Shivashankar Subramanian, Ioana Baldini, Sushma Ravichandran, Dmitriy A. Katz, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Kush R. Varshney, Annmarie Wang, Pradeep Mangalath, Laura B. Kleiman
2019	J	`jnl`	FactSheets: Increasing trust in AI services through supplier's declarations of conformity. IBM J. Res. Dev. 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
2019	C	`conf`	Fair Transfer Learning with Missing Protected Attributes. AIES Amanda Coston, Karthikeyan Natesan Ramamurthy, Dennis Wei, Kush R. Varshney, Skyler Speakman, Zairah Mustahsan, Supriyo Chakraborty
2019	J	`jnl`	Optimized Score Transformation for Fair Classification. CoRR Dennis Wei, Karthikeyan Natesan Ramamurthy, Flávio du Pin Calmon
2019	J	`jnl`	PI-Net: A Deep Learning Approach to Extract Topological Persistence Images. CoRR Anirudh Som, Hongjun Choi, Karthikeyan Natesan Ramamurthy, Matthew P. Buman, Pavan K. Turaga
2019	J	`jnl`	Simultaneous Parameter Learning and Bi-clustering for Multi-Response Models. Frontiers Big Data Ming Yu, Karthikeyan Natesan Ramamurthy, Addie M. Thompson, Aurélie C. Lozano
2019	C	`conf`	TED: Teaching AI to Explain its Decisions. AIES Michael Hind, Dennis Wei, Murray Campbell, Noel C. F. Codella, Amit Dhurandhar, Aleksandra Mojsilovic, Karthikeyan Natesan Ramamurthy, Kush R. Varshney
2019	J	`jnl`	Teaching AI to Explain its Decisions Using Embeddings and Multi-Task Learning. CoRR Noel C. F. Codella, Michael Hind, Karthikeyan Natesan Ramamurthy, Murray Campbell, Amit Dhurandhar, Kush R. Varshney, Dennis Wei, Aleksandra Mojsilovic
2019	J	`jnl`	Think Your Artificial Intelligence Software Is Fair? Think Again. IEEE Softw. 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
2019	A*	`conf`	Topological Data Analysis of Decision Boundaries with Application to Model Selection. ICML Karthikeyan Natesan Ramamurthy, Kush R. Varshney, Krishnan Mody
2019	J	`jnl`	Understanding racial bias in health using the Medical Expenditure Panel Survey data. CoRR Moninder Singh, Karthikeyan Natesan Ramamurthy
2018	J	`jnl`	AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias. CoRR 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
2018	J	`jnl`	Bias Mitigation Post-processing for Individual and Group Fairness. CoRR Pranay Kr. Lohia, Karthikeyan Natesan Ramamurthy, Manish Bhide, Diptikalyan Saha, Kush R. Varshney, Ruchir Puri
2018	J	`jnl`	Data Pre-Processing for Discrimination Prevention: Information-Theoretic Optimization and Analysis. IEEE J. Sel. Top. Signal Process. Flávio du Pin Calmon, Dennis Wei, Bhanukiran Vinzamuri, Karthikeyan Natesan Ramamurthy, Kush R. Varshney
2018	B	`conf`	Detecting and Counting Panicles in Sorghum Images. DSAA Peder A. Olsen, Karthikeyan Natesan Ramamurthy, Javier Ribera, Yuhao Chen, Addie M. Thompson, Ronny Luss, Mitch Tuinstra, Naoki Abe
2018	J	`jnl`	Distribution-preserving k-anonymity. Stat. Anal. Data Min. Dennis Wei, Karthikeyan Natesan Ramamurthy, Kush R. Varshney
2018	J	`jnl`	Exploring High-Dimensional Structure via Axis-Aligned Decomposition of Linear Projections. Comput. Graph. Forum Jayaraman J. Thiagarajan, Shusen Liu, Karthikeyan Natesan Ramamurthy, Peer-Timo Bremer
2018	J	`jnl`	Increasing Trust in AI Services through Supplier's Declarations of Conformity. CoRR Michael Hind, Sameep Mehta, Aleksandra Mojsilovic, Ravi Nair, Karthikeyan Natesan Ramamurthy, Alexandra Olteanu, Kush R. Varshney
2018	—	`conf`	Perturbation Robust Representations of Topological Persistence Diagrams. ECCV (7) Anirudh Som, Kowshik Thopalli, Karthikeyan Natesan Ramamurthy, Vinay Venkataraman, Ankita Shukla, Pavan K. Turaga
2018	J	`jnl`	Perturbation Robust Representations of Topological Persistence Diagrams. CoRR Anirudh Som, Kowshik Thopalli, Karthikeyan Natesan Ramamurthy, Vinay Venkataraman, Ankita Shukla, Pavan K. Turaga
2018	J	`jnl`	Simultaneous Parameter Learning and Bi-Clustering for Multi-Response Models. CoRR Ming Yu, Karthikeyan Natesan Ramamurthy, Addie M. Thompson, Aurélie C. Lozano
2018	J	`jnl`	TED: Teaching AI to Explain its Decisions. CoRR Noel C. F. Codella, Michael Hind, Karthikeyan Natesan Ramamurthy, Murray Campbell, Amit Dhurandhar, Kush R. Varshney, Dennis Wei, Aleksandra Mojsilovic
2018	J	`jnl`	Teaching Meaningful Explanations. CoRR Noel C. F. Codella, Michael Hind, Karthikeyan Natesan Ramamurthy, Murray Campbell, Amit Dhurandhar, Kush R. Varshney, Dennis Wei, Aleksandra Mojsilovic
2018	J	`jnl`	Topological Data Analysis of Decision Boundaries with Application to Model Selection. CoRR Karthikeyan Natesan Ramamurthy, Kush R. Varshney, Krishnan Mody
2017	—	`conf`	A configurable, big data system for on-demand healthcare cost prediction. IEEE BigData 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
2017	Misc	`conf`	A deep learning approach to multiple kernel fusion. ICASSP Huan Song, Jayaraman J. Thiagarajan, Prasanna Sattigeri, Karthikeyan Natesan Ramamurthy, Andreas Spanias
2017	J	`jnl`	An End-To-End Machine Learning Pipeline That Ensures Fairness Policies. CoRR Samiulla Shaikh, Harit Vishwakarma, Sameep Mehta, Kush R. Varshney, Karthikeyan Natesan Ramamurthy, Dennis Wei
2017	—	`conf`	Distributed Bundle Adjustment. ICCV Workshops Karthikeyan Natesan Ramamurthy, Chung-Ching Lin, Aleksandr Y. Aravkin, Sharath Pankanti, Raphael Viguier
2017	J	`jnl`	Distributed Bundle Adjustment. CoRR Karthikeyan Natesan Ramamurthy, Chung-Ching Lin, Aleksandr Y. Aravkin, Sharath Pankanti, Raphael Viguier
2017	J	`jnl`	Distribution-Preserving k-Anonymity. CoRR Dennis Wei, Karthikeyan Natesan Ramamurthy, Kush R. Varshney
2017	J	`jnl`	Exploring High-Dimensional Structure via Axis-Aligned Decomposition of Linear Projections. CoRR Jayaraman J. Thiagarajan, Shusen Liu, Karthikeyan Natesan Ramamurthy, Peer-Timo Bremer
2017	J	`jnl`	How to foster innovation: A data-driven approach to measuring economic competitiveness. IBM J. Res. Dev. Caitlin Kuhlman, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Aurélie C. Lozano, Lei Cao, C. Reddy, Aleksandra Mojsilovic, Kush R. Varshney
2017	—	`conf`	Learning Robust Representations for Computer Vision. ICCV Workshops Peng Zheng, Aleksandr Y. Aravkin, Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy
2017	J	`jnl`	Learning Robust Representations for Computer Vision. CoRR Peng Zheng, Aleksandr Y. Aravkin, Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan
2017	—	`conf`	Multiscale evolution of attractor-shape descriptors for assessing Parkinson's disease severity. GlobalSIP Anirudh Som, Narayanan Krishnamurthi, Vinay Venkataraman, Karthikeyan Natesan Ramamurthy, Pavan K. Turaga
2017	J	`jnl`	Optimized Data Pre-Processing for Discrimination Prevention. CoRR Flávio du Pin Calmon, Dennis Wei, Karthikeyan Natesan Ramamurthy, Kush R. Varshney
2017	—	`conf`	Optimized Pre-Processing for Discrimination Prevention. NIPS Flávio P. Calmon, Dennis Wei, Bhanukiran Vinzamuri, Karthikeyan Natesan Ramamurthy, Kush R. Varshney
2017	—	`conf`	Propensity modeling for employee Re-skilling. GlobalSIP Moninder Singh, Karthikeyan Natesan Ramamurthy, Shrihari Vasudevan
2016	J	`jnl`	A Deep Learning Approach To Multiple Kernel Fusion. CoRR Huan Song, Jayaraman J. Thiagarajan, Prasanna Sattigeri, Karthikeyan Natesan Ramamurthy, Andreas Spanias
2016	—	`conf`	A Riemannian Framework for Statistical Analysis of Topological Persistence Diagrams. CVPR Workshops Rushil Anirudh, Vinay Venkataraman, Karthikeyan Natesan Ramamurthy, Pavan K. Turaga
2016	J	`jnl`	A Riemannian Framework for Statistical Analysis of Topological Persistence Diagrams. CoRR Rushil Anirudh, Vinay Venkataraman, Karthikeyan Natesan Ramamurthy, Pavan K. Turaga
2016	B	`conf`	Auto-context modeling using multiple Kernel learning. ICIP Huan Song, Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Andreas Spanias
2016	Misc	`conf`	Beyond L2-loss functions for learning sparse models. ICASSP Karthikeyan Natesan Ramamurthy, Aleksandr Y. Aravkin, Jayaraman J. Thiagarajan
2016	Misc	`conf`	Consensus inference on mobile phone sensors for activity recognition. ICASSP Huan Song, Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Andreas Spanias, Pavan K. Turaga
2016	B	`conf`	Measuring glomerular number from kidney MRI images. Image Processing Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Berkay Kanberoglu, David H. Frakes, Kevin Bennett, Andreas Spanias
2016	J	`jnl`	Persistent Homology of Attractors For Action Recognition. CoRR Vinay Venkataraman, Karthikeyan Natesan Ramamurthy, Pavan K. Turaga
2016	B	`conf`	Persistent homology of attractors for action recognition. ICIP Vinay Venkataraman, Karthikeyan Natesan Ramamurthy, Pavan K. Turaga
2016	—	`conf`	Robust Local Scaling Using Conditional Quantiles of Graph Similarities. ICDM Workshops Jayaraman J. Thiagarajan, Prasanna Sattigeri, Karthikeyan Natesan Ramamurthy, Bhavya Kailkhura
2016	J	`jnl`	TreeView: Peeking into Deep Neural Networks Via Feature-Space Partitioning. CoRR Jayaraman J. Thiagarajan, Bhavya Kailkhura, Prasanna Sattigeri, Karthikeyan Natesan Ramamurthy
2015	B	`conf`	A talent management tool using propensity to leave analytics. DSAA Karthikeyan Natesan Ramamurthy, Moninder Singh, Yichong Yu, Jessica Aspis, Matthew Iames, Michael Peran, Qin S. Held
2015	A*	`conf`	Adaptive as-natural-as-possible image stitching. CVPR Chung-Ching Lin, Sharathchandra Pankanti, Karthikeyan Natesan Ramamurthy, Aleksandr Y. Aravkin
2015	J	`jnl`	Data Challenges in Disease Response: The 2014 Ebola Outbreak and Beyond. ACM J. Data Inf. Qual. Kush R. Varshney, Dennis Wei, Karthikeyan Natesan Ramamurthy, Aleksandra Mojsilovic
2015	A	`conf`	Health Insurance Market Risk Assessment: Covariate Shift and k-Anonymity. SDM Dennis Wei, Karthikeyan Natesan Ramamurthy, Kush R. Varshney
2015	—	`conf`	Identifying Employees for Re-skilling Using an Analytics-Based Approach. ICDM Workshops Karthikeyan Natesan Ramamurthy, Moninder Singh, Michael Davis, J. Alex Kevern, Uri Klein, Michael Peran
2015	J	`jnl`	Learning Stable Multilevel Dictionaries for Sparse Representations. IEEE Trans. Neural Networks Learn. Syst. Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Andreas Spanias
2015	Misc	`conf`	Persistent topology of decision boundaries. ICASSP Kush R. Varshney, Karthikeyan Natesan Ramamurthy
2015	J	`jnl`	Robust Partially-Compressed Least-Squares. CoRR Stephen Becker, Ban Kawas, Marek Petrik, Karthikeyan Natesan Ramamurthy
2015	Misc	`conf`	Subspace learning using consensus on the grassmannian manifold. ICASSP Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy
2015	—	`conf`	Toward Comprehensive Attribution of Healthcare Cost Changes. ICDM Workshops Dmitriy A. Katz-Rogozhnikov, Dennis Wei, Gigi Y. Yuen-Reed, Karthikeyan Natesan Ramamurthy, Aleksandra Mojsilovic
2015	J	`jnl`	Undergraduate Signal Processing Laboratories for the Android Operating System. CoRR Suhas Ranganath, Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Shuang Hu, Mahesh K. Banavar, Andreas Spanias
2014	Misc	`conf`	A scalable feature learning and tag prediction framework for natural environment sounds. ACSSC Prasanna Sattigeri, Jayaraman J. Thiagarajan, Mohit Shah, Karthikeyan Natesan Ramamurthy, Andreas Spanias
2014	B	`conf`	Automatic image annotation using inverse maps from semantic embeddings. ICIP Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Peer-Timo Bremer, Andreas Spanias
2014	J	`jnl`	Beyond L2-Loss Functions for Learning Sparse Models. CoRR Karthikeyan Natesan Ramamurthy, Aleksandr Y. Aravkin, Jayaraman J. Thiagarajan
2014	—	`conf`	Computing persistent homology under random projection. SSP Karthikeyan Natesan Ramamurthy, Kush R. Varshney, Jayaraman J. Thiagarajan
2014	Misc	`conf`	Consensus inference with multilayer graphs for multi-modal data. ACSSC Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Rahul Sridhar, Premnishanth Kothandaraman, Ramanathan Nachiappan
2014	—	`book`	Image Understanding Using Sparse Representations Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Pavan K. Turaga, Andreas Spanias
2014	—	`conf`	Kalman smoothing with persistent nuisance parameters. MLSP Aleksandr Y. Aravkin, Karthikeyan Natesan Ramamurthy, Gianluigi Pillonetto
2014	J	`jnl`	Kernel Sparse Models for Automated Tumor Segmentation. Int. J. Artif. Intell. Tools Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Deepta Rajan, Andreas Spanias, Anup Puri, David H. Frakes
2014	J	`jnl`	Multiple Kernel Sparse Representations for Supervised and Unsupervised Learning. IEEE Trans. Image Process. Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Andreas Spanias
2014	Misc	`conf`	Multiple kernel interpolation for inverting non-linear dimensionality reduction and dimension estimation. ICASSP Jayaraman J. Thiagarajan, Peer-Timo Bremer, Karthikeyan Natesan Ramamurthy
2014	—	`conf`	Multiplicative regression via constrained least squares. SSP Dennis Wei, Karthikeyan Natesan Ramamurthy, Dmitriy A. Katz-Rogozhnikov, Aleksandra Mojsilovic
2014	J	`jnl`	Recovering non-negative and combined sparse representations. Digit. Signal Process. Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Andreas Spanias
2013	Misc	`conf`	A heterogeneous dictionary model for representation and recognition of human actions. ICASSP Rushil Anirudh, Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Pavan K. Turaga, Andreas Spanias
2013	Misc	`conf`	Boosted dictionaries for image restoration based on sparse representations. ICASSP Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Andreas Spanias, Prasanna Sattigeri
2013	J	`jnl`	Ensemble Sparse Models for Image Analysis CoRR Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Prasanna Sattigeri, Andreas Spanias
2013	C	`conf`	Interactive tools for global sustainability and Earth systems: Sea level change and temperature. FIE Linda Hinnov, Karthikeyan Natesan Ramamurthy, Huan Song, Mahesh K. Banavar, Louis Spanias
2013	J	`jnl`	Kernel Sparse Models for Automated Tumor Segmentation CoRR Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Deepta Rajan, Anup Puri, David H. Frakes, Andreas Spanias
2013	J	`jnl`	Learning Stable Multilevel Dictionaries for Sparse Representation of Images CoRR Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Andreas Spanias
2013	J	`jnl`	Mixing matrix estimation using discriminative clustering for blind source separation. Digit. Signal Process. Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Andreas Spanias
2013	J	`jnl`	Multiple Kernel Sparse Representations for Supervised and Unsupervised Learning CoRR Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Andreas Spanias
2013	—	`—`	New Directions in Sparse Models for Image Analysis and Restoration. Karthikeyan Natesan Ramamurthy
2013	—	`conf`	Quantifying and Recommending Expertise When New Skills Emerge. ICDM Workshops DongPing Fang, Kush R. Varshney, Jun Wang, Karthikeyan Natesan Ramamurthy, Aleksandra Mojsilovic, John H. Bauer
2013	—	`conf`	Quantile regression for workforce analytics. GlobalSIP Karthikeyan Natesan Ramamurthy, Kush R. Varshney, Moninder Singh
2013	J	`jnl`	Recovering Non-negative and Combined Sparse Representations CoRR Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Andreas Spanias
2012	C	`conf`	Automated tumor segmentation using kernel sparse representations. BIBE Jayaraman J. Thiagarajan, Deepta Rajan, Karthikeyan Natesan Ramamurthy, David H. Frakes, Andreas Spanias
2012	—	`conf`	Implementation of a fast image coding and retrieval system using a GPU. ESPA Prasanna Sattigeri, Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Andreas Spanias
2012	—	`conf`	Learning Multilevel Dictionaries for Compressed Sensing Using Discriminative Clustering. IIH-MSP Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Andreas Spanias, Panos Nasiopoulos
2012	—	`conf`	Learning dictionaries with graph embedding constraints. ACSCC Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Prasanna Sattigeri, Andreas Spanias
2012	B	`conf`	Supervised local sparse coding of sub-image features for image retrieval. ICIP Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Andreas Spanias
2012	C	`conf`	Work in progress: Performing signal analysis laboratories using Android devices. FIE Suhas Ranganath, Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Shuang Hu, Mahesh K. Banavar, Andreas Spanias
2012	C	`conf`	Workshop: Interactive education tools for earth systems and sustainability applications. FIE Linda Hinnov, Andreas Spanias, Karthikeyan Natesan Ramamurthy, Girish Kalyanasundaram
2011	—	`conf`	Analyte detection using an ion-channel sensor array. DSP Prasanna Sattigeri, Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Michael Goryll, Andreas Spanias, Trevor Thornton
2011	B	`conf`	Improved sparse coding using manifold projections. ICIP Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Andreas Spanias
2011	J	`jnl`	Optimality and stability of the K-hyperline clustering algorithm. Pattern Recognit. Lett. Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Andreas Spanias
2011	—	`conf`	Optimized measurements for kernel compressive sensing. ACSCC Karthikeyan Natesan Ramamurthy, Andreas Spanias
2011	J	`jnl`	Transform domain features for ion-channel signal classification. Biomed. Signal Process. Control. Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Prasanna Sattigeri, Michael Goryll, Andreas Spanias, Trevor Thornton, Stephen M. Phillips
2011	C	`conf`	Work in progress - Interactive signal-processing labs and simulations on iOS devices. FIE Jinru Liu, Andreas Spanias, Mahesh K. Banavar, Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Shuang Hu, Xue Zhang
2011	C	`conf`	Work in progress: The J-DSP/ESE software for analyzing Earth systems signals. FIE Linda Hinnov, Karthikeyan Natesan Ramamurthy, Andreas Spanias
2010	Misc	`conf`	Dimensionality Reduction for Distance Based Video Clustering. AIAI Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Andreas Spanias
2010	—	`book`	MATLAB Software for the Code Excited Linear Prediction Algorithm: The Federal Standard-1016 MATLAB Software for the Code Excited Linear Prediction Algorithm Karthikeyan Natesan Ramamurthy, Andreas Spanias
2009	B	`conf`	Fast image registration with non-stationary Gauss-Markov random field templates. ICIP Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Andreas Spanias
2009	—	`conf`	Template Learning using Wavelet Domain Statistical Models. SGAI Conf. Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Andreas Spanias
2008	—	`conf`	Sparse Representations for Pattern Classification using Learned Dictionaries. SGAI Conf. Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Andreas Spanias