Karthikeyan Natesan Ramamurthy
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
67
Venues
24
Active years
2008–2026
Best venue rank
A*
Where they publish
- MulticonferenceICASSP11 papers
- A*ACL6 papers
- BICIP6 papers
- NationalACSSC5 papers
- CFIE5 papers
- A*ICDM4 papers
- A*ICML3 papers
- A*AAAI3 papers
- A*CVPR3 papers
- A*EMNLP2 papers
- A*ICLR2 papers
- AUAI2 papers
- CAIES2 papers
- BDSAA2 papers
- NationalSGAI2 papers
- AIUI1 paper
- ANAACL1 paper
- BCHIIR1 paper
- NationalCOMAD1 paper
- AAISTATS1 paper
- BISIT1 paper
- A*ECCV1 paper
- ASDM1 paper
- CBIBE1 paper
Papers
67 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | AI Steerability 360: A Toolkit for Steering Large Language Models. | Erik Miehling, Karthikeyan Natesan Ramamurthy, Praveen Venkateswaran, Ching-Yun Ko, Pierre L. Dognin, Moninder Singh, Tejaswini Pedapati, Avinash Balakrishnan, Matthew Riemer, Dennis Wei, Inge Vejsbjerg, Elizabeth M. Daly, Kush R. Varshney |
| 2026 | IUI | CURE2026: Communicating Uncertainty to foster Realistic Expectations via Human-Centered Design. | Jasmina Gajcin, Jovan Jeromela, Joel Wester, Sarah Schmbs, Styliani Kleanthous, Karthikeyan Natesan Ramamurthy, Hanna Hauptmann, Rifat Mehreen Amin |
| 2025 | ACL | Protecting Users From Themselves: Safeguarding Contextual Privacy in Interactions with Conversational Agents. | Ivoline C. Ngong, Swanand Ravindra Kadhe, Hao Wang, Keerthiram Murugesan, Justin D. Weisz, Amit Dhurandhar, Karthikeyan Natesan Ramamurthy |
| 2025 | ACL | 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 |
| 2025 | ACL | Conceptual Diagnostics for Knowledge Graphs and Large Language Models. | Rosario Uceda-Sosa, Maria Chang, Karthikeyan Natesan Ramamurthy, Moninder Singh |
| 2025 | EMNLP | Sparsity May Be All You Need: Sparse Random Parameter Adaptation. | Jesus Rios, Pierre L. Dognin, Ronny Luss, Karthikeyan Natesan Ramamurthy |
| 2025 | ICLR | Programming Refusal with Conditional Activation Steering. | Bruce W. Lee, Inkit Padhi, Karthikeyan Natesan Ramamurthy, Erik Miehling, Pierre L. Dognin, Manish Nagireddy, Amit Dhurandhar |
| 2025 | NAACL | Evaluating the Prompt Steerability of Large Language Models. | 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 |
| 2024 | ACL | Ranking Large Language Models without Ground Truth. | Amit Dhurandhar, Rahul Nair, Moninder Singh, Elizabeth Daly, Karthikeyan Natesan Ramamurthy |
| 2024 | EMNLP | Value Alignment from Unstructured Text. | Inkit Padhi, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Manish Nagireddy, Pierre L. Dognin, Kush R. Varshney |
| 2024 | ICML | Trust Regions for Explanations via Black-Box Probabilistic Certification. | Amit Dhurandhar, Swagatam Haldar, Dennis Wei, Karthikeyan Natesan Ramamurthy |
| 2024 | ICML | Position: Topological Deep Learning is the New Frontier for Relational Learning. | 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 |
| 2023 | AAAI | 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 |
| 2023 | CHIIR | Explainable Cross-Topic Stance Detection for Search Results. | Tim Draws, Karthikeyan Natesan Ramamurthy, Ioana Baldini, Amit Dhurandhar, Inkit Padhi, Benjamin Timmermans, Nava Tintarev |
| 2023 | ICASSP | TOPO-MLP : A Simplicial Network without Message Passing. | Karthikeyan Natesan Ramamurthy, Aldo Guzmn-Senz, Mustafa Hajij |
| 2022 | ACL | Your fairness may vary: Pretrained language model fairness in toxic text classification. | Ioana Baldini, Dennis Wei, Karthikeyan Natesan Ramamurthy, Moninder Singh, Mikhail Yurochkin |
| 2022 | COMAD | Uncertainty Quantification 360: A Hands-on Tutorial. | Soumya Ghosh, Q. Vera Liao, Karthikeyan Natesan Ramamurthy, Jir Navrtil, Prasanna Sattigeri, Kush R. Varshney, Yunfeng Zhang |
| 2022 | ICASSP | Augmenting Molecular Deep Generative Models with Topological Data Analysis Representations. | Yair Schiff, Vijil Chenthamarakshan, Samuel C. Hoffman, Karthikeyan Natesan Ramamurthy, Payel Das |
| 2022 | UAI | A label efficient two-sample test. | Weizhi Li, Gautam Dasarathy, Karthikeyan Natesan Ramamurthy, Visar Berisha |
| 2021 | UAI | Conditionally independent data generation. | Kartik Ahuja, Prasanna Sattigeri, Karthikeyan Shanmugam, Dennis Wei, Karthikeyan Natesan Ramamurthy, Murat Kocaoglu |
| 2020 | AAAI | Crowd Counting with Decomposed Uncertainty. | Min-hwan Oh, Peder A. Olsen, Karthikeyan Natesan Ramamurthy |
| 2020 | AAAI | 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 |
| 2020 | ACSSC | Treeview and Disentangled Representations for Explaining Deep Neural Networks Decisions. | Prasanna Sattigeri, Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Bhavya Kailkhura |
| 2020 | AISTATS | Optimized Score Transformation for Fair Classification. | Dennis Wei, Karthikeyan Natesan Ramamurthy, Flvio P. Calmon |
| 2020 | CVPR | PI-Net: A Deep Learning Approach to Extract Topological Persistence Images. | Anirudh Som, Hongjun Choi, Karthikeyan Natesan Ramamurthy, Matthew P. Buman, Pavan K. Turaga |
| 2020 | ICLR | Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness. | Pu Zhao, Pin-Yu Chen, Payel Das, Karthikeyan Natesan Ramamurthy, Xue Lin |
| 2020 | ISIT | Model Projection: Theory and Applications to Fair Machine Learning. | Wael Alghamdi, Shahab Asoodeh, Hao Wang, Flvio P. Calmon, Dennis Wei, Karthikeyan Natesan Ramamurthy |
| 2019 | AIES | Fair Transfer Learning with Missing Protected Attributes. | Amanda Coston, Karthikeyan Natesan Ramamurthy, Dennis Wei, Kush R. Varshney, Skyler Speakman, Zairah Mustahsan, Supriyo Chakraborty |
| 2019 | AIES | 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 |
| 2019 | ICASSP | Bias Mitigation Post-processing for Individual and Group Fairness. | Pranay Kr. Lohia, Karthikeyan Natesan Ramamurthy, Manish Bhide, Diptikalyan Saha, Kush R. Varshney, Ruchir Puri |
| 2019 | ICML | Topological Data Analysis of Decision Boundaries with Application to Model Selection. | Karthikeyan Natesan Ramamurthy, Kush R. Varshney, Krishnan Mody |
| 2018 | DSAA | 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 |
| 2018 | ECCV | Perturbation Robust Representations of Topological Persistence Diagrams. | Anirudh Som, Kowshik Thopalli, Karthikeyan Natesan Ramamurthy, Vinay Venkataraman, Ankita Shukla, Pavan K. Turaga |
| 2017 | ICASSP | A deep learning approach to multiple kernel fusion. | Huan Song, Jayaraman J. Thiagarajan, Prasanna Sattigeri, Karthikeyan Natesan Ramamurthy, Andreas Spanias |
| 2016 | CVPR | A Riemannian Framework for Statistical Analysis of Topological Persistence Diagrams. | Rushil Anirudh, Vinay Venkataraman, Karthikeyan Natesan Ramamurthy, Pavan K. Turaga |
| 2016 | ICASSP | Beyond L2-loss functions for learning sparse models. | Karthikeyan Natesan Ramamurthy, Aleksandr Y. Aravkin, Jayaraman J. Thiagarajan |
| 2016 | ICASSP | Consensus inference on mobile phone sensors for activity recognition. | Huan Song, Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Andreas Spanias, Pavan K. Turaga |
| 2016 | ICDM | Robust Local Scaling Using Conditional Quantiles of Graph Similarities. | Jayaraman J. Thiagarajan, Prasanna Sattigeri, Karthikeyan Natesan Ramamurthy, Bhavya Kailkhura |
| 2016 | ICIP | Auto-context modeling using multiple Kernel learning. | Huan Song, Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Andreas Spanias |
| 2016 | ICIP | Persistent homology of attractors for action recognition. | Vinay Venkataraman, Karthikeyan Natesan Ramamurthy, Pavan K. Turaga |
| 2015 | CVPR | Adaptive as-natural-as-possible image stitching. | Chung-Ching Lin, Sharathchandra Pankanti, Karthikeyan Natesan Ramamurthy, Aleksandr Y. Aravkin |
| 2015 | DSAA | 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 |
| 2015 | ICASSP | Subspace learning using consensus on the grassmannian manifold. | Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy |
| 2015 | ICASSP | Persistent topology of decision boundaries. | Kush R. Varshney, Karthikeyan Natesan Ramamurthy |
| 2015 | ICDM | Toward Comprehensive Attribution of Healthcare Cost Changes. | Dmitriy A. Katz-Rogozhnikov, Dennis Wei, Gigi Y. Yuen-Reed, Karthikeyan Natesan Ramamurthy, Aleksandra Mojsilovic |
| 2015 | ICDM | Identifying Employees for Re-skilling Using an Analytics-Based Approach. | Karthikeyan Natesan Ramamurthy, Moninder Singh, Michael Davis, J. Alex Kevern, Uri Klein, Michael Peran |
| 2015 | SDM | Health Insurance Market Risk Assessment: Covariate Shift and k-Anonymity. | Dennis Wei, Karthikeyan Natesan Ramamurthy, Kush R. Varshney |
| 2014 | ACSSC | Consensus inference with multilayer graphs for multi-modal data. | Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Rahul Sridhar, Premnishanth Kothandaraman, Ramanathan Nachiappan |
| 2014 | ACSSC | A scalable feature learning and tag prediction framework for natural environment sounds. | Prasanna Sattigeri, Jayaraman J. Thiagarajan, Mohit Shah, Karthikeyan Natesan Ramamurthy, Andreas Spanias |
| 2014 | ICASSP | Multiple kernel interpolation for inverting non-linear dimensionality reduction and dimension estimation. | Jayaraman J. Thiagarajan, Peer-Timo Bremer, Karthikeyan Natesan Ramamurthy |
| 2014 | ICIP | Automatic image annotation using inverse maps from semantic embeddings. | Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Peer-Timo Bremer, Andreas Spanias |
| 2013 | FIE | 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 |
| 2013 | ICASSP | A heterogeneous dictionary model for representation and recognition of human actions. | Rushil Anirudh, Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Pavan K. Turaga, Andreas Spanias |
| 2013 | ICASSP | Boosted dictionaries for image restoration based on sparse representations. | Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Andreas Spanias, Prasanna Sattigeri |
| 2013 | ICDM | Quantifying and Recommending Expertise When New Skills Emerge. | DongPing Fang, Kush R. Varshney, Jun Wang, Karthikeyan Natesan Ramamurthy, Aleksandra Mojsilovic, John H. Bauer |
| 2012 | ACSSC | Learning dictionaries with graph embedding constraints. | Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Prasanna Sattigeri, Andreas Spanias |
| 2012 | BIBE | Automated tumor segmentation using kernel sparse representations. | Jayaraman J. Thiagarajan, Deepta Rajan, Karthikeyan Natesan Ramamurthy, David H. Frakes, Andreas Spanias |
| 2012 | FIE | Workshop: Interactive education tools for earth systems and sustainability applications. | Linda Hinnov, Andreas Spanias, Karthikeyan Natesan Ramamurthy, Girish Kalyanasundaram |
| 2012 | FIE | 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 |
| 2012 | ICIP | Supervised local sparse coding of sub-image features for image retrieval. | Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Andreas Spanias |
| 2011 | ACSSC | Optimized measurements for kernel compressive sensing. | Karthikeyan Natesan Ramamurthy, Andreas Spanias |
| 2011 | FIE | Work in progress: The J-DSP/ESE software for analyzing Earth systems signals. | Linda Hinnov, Karthikeyan Natesan Ramamurthy, Andreas Spanias |
| 2011 | FIE | 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 |
| 2011 | ICIP | Improved sparse coding using manifold projections. | Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Andreas Spanias |
| 2009 | ICIP | Fast image registration with non-stationary Gauss-Markov random field templates. | Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Andreas Spanias |
| 2009 | SGAI | Template Learning using Wavelet Domain Statistical Models. | Karthikeyan Natesan Ramamurthy, Jayaraman J. Thiagarajan, Andreas Spanias |
| 2008 | SGAI | Sparse Representations for Pattern Classification using Learned Dictionaries. | Jayaraman J. Thiagarajan, Karthikeyan Natesan Ramamurthy, Andreas Spanias |