Sparse Representations for Pattern Classification using Learned Dictionaries. - Jayaraman J. Thiagarajan; Karthikeyan Natesan Ramamurthy; Andreas Spanias (SGAI Conf., 2008)

Fast image registration with non-stationary Gauss-Markov random field templates. - Karthikeyan Natesan Ramamurthy; Jayaraman J. Thiagarajan; Andreas Spanias (ICIP, 2009)

Template Learning using Wavelet Domain Statistical Models. - Karthikeyan Natesan Ramamurthy; Jayaraman J. Thiagarajan; Andreas Spanias (SGAI Conf., 2009)

Dimensionality Reduction for Distance Based Video Clustering. - Jayaraman J. Thiagarajan; Karthikeyan Natesan Ramamurthy; Andreas Spanias (AIAI, 2010)

MATLAB Software for the Code Excited Linear Prediction Algorithm: The Federal Standard-1016 - Karthikeyan Natesan Ramamurthy; Andreas Spanias (MATLAB Software for the Code Excited Linear Prediction Algorithm, 2010)

Optimized measurements for kernel compressive sensing. - Karthikeyan Natesan Ramamurthy; Andreas Spanias (ACSCC, 2011)

Work in progress: The J-DSP/ESE software for analyzing Earth systems signals. - Linda Hinnov; Karthikeyan Natesan Ramamurthy; Andreas Spanias (FIE, 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 002 (FIE, 2011)

Analyte detection using an ion-channel sensor array. - Prasanna Sattigeri; Karthikeyan Natesan Ramamurthy; Jayaraman J. Thiagarajan; Michael Goryll; Andreas Spanias; Trevor Thornton (DSP, 2011)

Improved sparse coding using manifold projections. - Karthikeyan Natesan Ramamurthy; Jayaraman J. Thiagarajan; Andreas Spanias (ICIP, 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)

Optimality and stability of the K-hyperline clustering algorithm. - Jayaraman J. Thiagarajan; Karthikeyan Natesan Ramamurthy; Andreas Spanias (Pattern Recognit. Lett., 2011)

Learning dictionaries with graph embedding constraints. - Karthikeyan Natesan Ramamurthy; Jayaraman J. Thiagarajan; Prasanna Sattigeri; Andreas Spanias (ACSCC, 2012)

Automated tumor segmentation using kernel sparse representations. - Jayaraman J. Thiagarajan; Deepta Rajan; Karthikeyan Natesan Ramamurthy; David H. Frakes; Andreas Spanias (BIBE, 2012)

Implementation of a fast image coding and retrieval system using a GPU. - Prasanna Sattigeri; Jayaraman J. Thiagarajan; Karthikeyan Natesan Ramamurthy; Andreas Spanias (ESPA, 2012)

Workshop: Interactive education tools for earth systems and sustainability applications. - Linda Hinnov; Andreas Spanias; Karthikeyan Natesan Ramamurthy; Girish Kalyanasundaram (FIE, 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 (FIE, 2012)

Supervised local sparse coding of sub-image features for image retrieval. - Jayaraman J. Thiagarajan; Karthikeyan Natesan Ramamurthy; Prasanna Sattigeri; Andreas Spanias (ICIP, 2012)

Learning Multilevel Dictionaries for Compressed Sensing Using Discriminative Clustering. - Jayaraman J. Thiagarajan; Karthikeyan Natesan Ramamurthy; Andreas Spanias; Panos Nasiopoulos (IIH-MSP, 2012)

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 (FIE, 2013)

Quantile regression for workforce analytics. - Karthikeyan Natesan Ramamurthy; Kush R. Varshney; Moninder Singh (GlobalSIP, 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 (ICASSP, 2013)

Boosted dictionaries for image restoration based on sparse representations. - Karthikeyan Natesan Ramamurthy; Jayaraman J. Thiagarajan; Andreas Spanias; Prasanna Sattigeri (ICASSP, 2013)

Quantifying and Recommending Expertise When New Skills Emerge. - DongPing Fang 001; Kush R. Varshney; Jun Wang 006; Karthikeyan Natesan Ramamurthy; Aleksandra Mojsilovic; John H. Bauer (ICDM Workshops, 2013)

Ensemble Sparse Models for Image Analysis - Karthikeyan Natesan Ramamurthy; Jayaraman J. Thiagarajan; Prasanna Sattigeri; Andreas Spanias (CoRR, 2013)

Learning Stable Multilevel Dictionaries for Sparse Representation of Images - Jayaraman J. Thiagarajan; Karthikeyan Natesan Ramamurthy; Andreas Spanias (CoRR, 2013)

Mixing matrix estimation using discriminative clustering for blind source separation. - Jayaraman J. Thiagarajan; Karthikeyan Natesan Ramamurthy; Andreas Spanias (Digit. Signal Process., 2013)

New Directions in Sparse Models for Image Analysis and Restoration. - Karthikeyan Natesan Ramamurthy (2013)

Consensus inference with multilayer graphs for multi-modal data. - Karthikeyan Natesan Ramamurthy; Jayaraman J. Thiagarajan; Rahul Sridhar; Premnishanth Kothandaraman; Ramanathan Nachiappan (ACSSC, 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 (ACSSC, 2014)

Multiple kernel interpolation for inverting non-linear dimensionality reduction and dimension estimation. - Jayaraman J. Thiagarajan; Peer-Timo Bremer; Karthikeyan Natesan Ramamurthy (ICASSP, 2014)

Automatic image annotation using inverse maps from semantic embeddings. - Jayaraman J. Thiagarajan; Karthikeyan Natesan Ramamurthy; Prasanna Sattigeri; Peer-Timo Bremer; Andreas Spanias (ICIP, 2014)

Kalman smoothing with persistent nuisance parameters. - Aleksandr Y. Aravkin; Karthikeyan Natesan Ramamurthy; Gianluigi Pillonetto (MLSP, 2014)

Computing persistent homology under random projection. - Karthikeyan Natesan Ramamurthy; Kush R. Varshney; Jayaraman J. Thiagarajan (SSP, 2014)

Multiplicative regression via constrained least squares. - Dennis Wei; Karthikeyan Natesan Ramamurthy; Dmitriy A. Katz-Rogozhnikov; Aleksandra Mojsilovic (SSP, 2014)

Recovering non-negative and combined sparse representations. - Karthikeyan Natesan Ramamurthy; Jayaraman J. Thiagarajan; Andreas Spanias (Digit. Signal 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)

Multiple Kernel Sparse Representations for Supervised and Unsupervised Learning. - Jayaraman J. Thiagarajan; Karthikeyan Natesan Ramamurthy; Andreas Spanias (IEEE Trans. Image Process., 2014)

Image Understanding Using Sparse Representations - Jayaraman J. Thiagarajan; Karthikeyan Natesan Ramamurthy; Pavan K. Turaga; Andreas Spanias (Morgan & Claypool Publishers, 2014)

Adaptive as-natural-as-possible image stitching. - Chung-Ching Lin; Sharathchandra Pankanti; Karthikeyan Natesan Ramamurthy; Aleksandr Y. Aravkin (CVPR, 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 (DSAA, 2015)

Subspace learning using consensus on the grassmannian manifold. - Jayaraman J. Thiagarajan; Karthikeyan Natesan Ramamurthy (ICASSP, 2015)

Persistent topology of decision boundaries. - Kush R. Varshney; Karthikeyan Natesan Ramamurthy (ICASSP, 2015)

Removing data with noisy responses in regression analysis. - Alan Wisler; Visar Berisha; Karthikeyan Ramamurthy; Andreas Spanias; Julie Liss (ICASSP, 2015)

Toward Comprehensive Attribution of Healthcare Cost Changes. - Dmitriy A. Katz-Rogozhnikov; Dennis Wei; Gigi Y. Yuen-Reed; Karthikeyan Natesan Ramamurthy; Aleksandra Mojsilovic (ICDM Workshops, 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 (ICDM Workshops, 2015)

Health Insurance Market Risk Assessment: Covariate Shift and k-Anonymity. - Dennis Wei; Karthikeyan Natesan Ramamurthy; Kush R. Varshney (SDM, 2015)

Robust Partially-Compressed Least-Squares. - Stephen Becker; Ban Kawas; Marek Petrik; Karthikeyan Natesan Ramamurthy (CoRR, 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)

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)

Learning Stable Multilevel Dictionaries for Sparse Representations. - Jayaraman J. Thiagarajan; Karthikeyan Natesan Ramamurthy; Andreas Spanias (IEEE Trans. Neural Networks Learn. Syst., 2015)

A Riemannian Framework for Statistical Analysis of Topological Persistence Diagrams. - Rushil Anirudh; Vinay Venkataraman; Karthikeyan Natesan Ramamurthy; Pavan K. Turaga (CVPR Workshops, 2016)

Beyond L2-loss functions for learning sparse models. - Karthikeyan Natesan Ramamurthy; Aleksandr Y. Aravkin; Jayaraman J. Thiagarajan (ICASSP, 2016)

Consensus inference on mobile phone sensors for activity recognition. - Huan Song; Jayaraman J. Thiagarajan; Karthikeyan Natesan Ramamurthy; Andreas Spanias; Pavan K. Turaga (ICASSP, 2016)

Empirically-estimable multi-class classification bounds. - Alan Wisler; Visar Berisha; Dennis Wei; Karthikeyan Ramamurthy; Andreas Spanias (ICASSP, 2016)

Robust Local Scaling Using Conditional Quantiles of Graph Similarities. - Jayaraman J. Thiagarajan; Prasanna Sattigeri; Karthikeyan Natesan Ramamurthy; Bhavya Kailkhura (ICDM Workshops, 2016)

Auto-context modeling using multiple Kernel learning. - Huan Song; Jayaraman J. Thiagarajan; Karthikeyan Natesan Ramamurthy; Andreas Spanias (ICIP, 2016)

Persistent homology of attractors for action recognition. - Vinay Venkataraman; Karthikeyan Natesan Ramamurthy; Pavan K. Turaga (ICIP, 2016)

Measuring glomerular number from kidney MRI images. - Jayaraman J. Thiagarajan; Karthikeyan Natesan Ramamurthy; Berkay Kanberoglu; David H. Frakes; Kevin Bennett; Andreas Spanias (Image Processing, 2016)

TreeView: Peeking into Deep Neural Networks Via Feature-Space Partitioning. - Jayaraman J. Thiagarajan; Bhavya Kailkhura; Prasanna Sattigeri; Karthikeyan Natesan Ramamurthy (CoRR, 2016)

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 (IEEE BigData, 2017)

Propensity modeling for employee Re-skilling. - Moninder Singh; Karthikeyan Natesan Ramamurthy; Shrihari Vasudevan (GlobalSIP, 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 (GlobalSIP, 2017)

A deep learning approach to multiple kernel fusion. - Huan Song; Jayaraman J. Thiagarajan; Prasanna Sattigeri; Karthikeyan Natesan Ramamurthy; Andreas Spanias (ICASSP, 2017)

Distributed Bundle Adjustment. - Karthikeyan Natesan Ramamurthy; Chung-Ching Lin; Aleksandr Y. Aravkin; Sharath Pankanti; Raphael Viguier (ICCV Workshops, 2017)

Learning Robust Representations for Computer Vision. - Peng Zheng 002; Aleksandr Y. Aravkin; Jayaraman J. Thiagarajan; Karthikeyan Natesan Ramamurthy (ICCV Workshops, 2017)

Optimized Pre-Processing for Discrimination Prevention. - Flávio P. Calmon; Dennis Wei; Bhanukiran Vinzamuri; Karthikeyan Natesan Ramamurthy; Kush R. Varshney (NIPS, 2017)

Optimized Data Pre-Processing for Discrimination Prevention. - Flávio du Pin Calmon; Dennis Wei; Karthikeyan Natesan Ramamurthy; Kush R. Varshney (CoRR, 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)

How to foster innovation: A data-driven approach to measuring economic competitiveness. - Caitlin Kuhlman; Karthikeyan Natesan Ramamurthy; Prasanna Sattigeri; Aurélie C. Lozano; Lei Cao 004; C. Reddy; Aleksandra Mojsilovic; Kush R. Varshney (IBM J. Res. Dev., 2017)

Detecting and Counting Panicles in Sorghum Images. - Peder A. Olsen; Karthikeyan Natesan Ramamurthy; Javier Ribera; Yuhao Chen 001; Addie M. Thompson; Ronny Luss; Mitch Tuinstra; Naoki Abe (DSAA, 2018)

Perturbation Robust Representations of Topological Persistence Diagrams. - Anirudh Som; Kowshik Thopalli; Karthikeyan Natesan Ramamurthy; Vinay Venkataraman; Ankita Shukla; Pavan K. Turaga (ECCV (7), 2018)

Exploring High-Dimensional Structure via Axis-Aligned Decomposition of Linear Projections. - Jayaraman J. Thiagarajan; Shusen Liu 001; Karthikeyan Natesan Ramamurthy; Peer-Timo Bremer (Comput. Graph. Forum, 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)

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)

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; et al. (CoRR, 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)

Distribution-preserving k-anonymity. - Dennis Wei; Karthikeyan Natesan Ramamurthy; Kush R. Varshney (Stat. Anal. Data Min., 2018)

Fair Transfer Learning with Missing Protected Attributes. - Amanda Coston; Karthikeyan Natesan Ramamurthy; Dennis Wei; Kush R. Varshney; Skyler Speakman; Zairah Mustahsan; Supriyo Chakraborty (AIES, 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 (AIES, 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 (ICASSP, 2019)

Topological Data Analysis of Decision Boundaries with Application to Model Selection. - Karthikeyan Natesan Ramamurthy; Kush R. Varshney; Krishnan Mody (ICML, 2019)

Counting and Segmenting Sorghum Heads. - Min-hwan Oh; Peder A. Olsen; 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)

Understanding racial bias in health using the Medical Expenditure Panel Survey data. - Moninder Singh; Karthikeyan Natesan Ramamurthy (CoRR, 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)

Simultaneous Parameter Learning and Bi-clustering for Multi-Response Models. - Ming Yu 005; Karthikeyan Natesan Ramamurthy; Addie M. Thompson; Aurélie C. Lozano (Frontiers Big Data, 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; et al. (IBM J. Res. Dev., 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; et al. (IBM J. Res. Dev., 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; et al. (IEEE Softw., 2019)

Crowd Counting with Decomposed Uncertainty. - Min-hwan Oh; Peder A. Olsen; Karthikeyan Natesan Ramamurthy (AAAI, 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 (AAAI, 2020)

Treeview and Disentangled Representations for Explaining Deep Neural Networks Decisions. - Prasanna Sattigeri; Karthikeyan Natesan Ramamurthy; Jayaraman J. Thiagarajan; Bhavya Kailkhura (ACSSC, 2020)

Optimized Score Transformation for Fair Classification. - Dennis Wei; Karthikeyan Natesan Ramamurthy; Flávio P. Calmon (AISTATS, 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 (CVPR Workshops, 2020)

Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness. - Pu Zhao 001; Pin-Yu Chen; Payel Das; Karthikeyan Natesan Ramamurthy; Xue Lin 001 (ICLR, 2020)

Model Projection: Theory and Applications to Fair Machine Learning. - Wael Alghamdi; Shahab Asoodeh; Hao Wang 063; Flávio P. Calmon; Dennis Wei; Karthikeyan Natesan Ramamurthy (ISIT, 2020)

Finding the Homology of Decision Boundaries with Active Learning. - Weizhi Li; Gautam Dasarathy; Karthikeyan Natesan Ramamurthy; Visar Berisha (NeurIPS, 2020)

Model Agnostic Multilevel Explanations. - Karthikeyan Natesan Ramamurthy; Bhanukiran Vinzamuri; Yunfeng Zhang; Amit Dhurandhar (NeurIPS, 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)

Conditionally independent data generation. - Kartik Ahuja; Prasanna Sattigeri; Karthikeyan Shanmugam; Dennis Wei; Karthikeyan Natesan Ramamurthy; Murat Kocaoglu (UAI, 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 001; Prasanna Sattigeri; Kush R. Varshney; Yunfeng Zhang (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)

Data-Centric AI Requires Rethinking Data Notion. - Mustafa Hajij; Ghada Zamzmi; Karthikeyan Natesan Ramamurthy; Aldo Guzmán-Sáenz (CoRR, 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)

Optimized Score Transformation for Consistent Fair Classification. - Dennis Wei; Karthikeyan Natesan Ramamurthy; Flávio P. Calmon (J. Mach. Learn. Res., 2021)

Estimating Shape Parameters of Piecewise Linear-Quadratic Problems. - Peng Zheng 002; Karthikeyan Natesan Ramamurthy; Aleksandr Y. Aravkin (Open J. Math. Optim., 2021)

Your fairness may vary: Pretrained language model fairness in toxic text classification. - Ioana Baldini; Dennis Wei; Karthikeyan Natesan Ramamurthy; Moninder Singh; Mikhail Yurochkin (ACL (Findings), 2022)

Uncertainty Quantification 360: A Hands-on Tutorial. - Soumya Ghosh; Q. Vera Liao; Karthikeyan Natesan Ramamurthy; Jirí Navrátil 001; Prasanna Sattigeri; Kush R. Varshney; Yunfeng Zhang (COMAD/CODS, 2022)

Augmenting Molecular Deep Generative Models with Topological Data Analysis Representations. - Yair Schiff; Vijil Chenthamarakshan; Samuel C. Hoffman; Karthikeyan Natesan Ramamurthy; Payel Das (ICASSP, 2022)

Is this the Right Neighborhood? Accurate and Query Efficient Model Agnostic Explanations. - Amit Dhurandhar; Karthikeyan Natesan Ramamurthy; Karthikeyan Shanmugam (NeurIPS, 2022)

A label efficient two-sample test. - Weizhi Li; Gautam Dasarathy; Karthikeyan Natesan Ramamurthy; Visar Berisha (UAI, 2022)

Analogies and Feature Attributions for Model Agnostic Explanation of Similarity Learners. - Karthikeyan Natesan Ramamurthy; Amit Dhurandhar; Dennis Wei; Zaid Bin Tariq (CoRR, 2022)

Higher-Order Attention Networks. - Mustafa Hajij; Ghada Zamzmi; Theodore Papamarkou; Nina Miolane; Aldo Guzmán-Sáenz; Karthikeyan Natesan Ramamurthy (CoRR, 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; et al. (Int. J. Virtual Pers. Learn. Environ., 2022)

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 (AAAI, 2023)

Explainable Cross-Topic Stance Detection for Search Results. - Tim Draws; Karthikeyan Natesan Ramamurthy; Ioana Baldini; Amit Dhurandhar; Inkit Padhi; Benjamin Timmermans; Nava Tintarev (CHIIR, 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 (FAccT, 2023)

TOPO-MLP : A Simplicial Network without Message Passing. - Karthikeyan Natesan Ramamurthy; Aldo Guzmán-Sáenz; Mustafa Hajij (ICASSP, 2023)

Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant Learning. - Amit Dhurandhar; Karthikeyan Natesan Ramamurthy; Kartik Ahuja; Vijay Arya (NeurIPS, 2023)

The Impact of Positional Encoding on Length Generalization in Transformers. - Amirhossein Kazemnejad; Inkit Padhi; Karthikeyan Natesan Ramamurthy; Payel Das; Siva Reddy (NeurIPS, 2023)

Cookie Consent Has Disparate Impact on Estimation Accuracy. - Erik Miehling; Rahul Nair; Elizabeth Daly; Karthikeyan Natesan Ramamurthy; Robert Redmond (NeurIPS, 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; et al. (TAG-ML, 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)

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; et al. (CoRR, 2023)

Ranking Large Language Models without Ground Truth. - Amit Dhurandhar; Rahul Nair; Moninder Singh; Elizabeth Daly; Karthikeyan Natesan Ramamurthy (ACL (Findings), 2024)

Value Alignment from Unstructured Text. - Inkit Padhi; Karthikeyan Natesan Ramamurthy; Prasanna Sattigeri; Manish Nagireddy; Pierre L. Dognin; Kush R. Varshney (EMNLP (Industry Track), 2024)

Trust Regions for Explanations via Black-Box Probabilistic Certification. - Amit Dhurandhar; Swagatam Haldar; Dennis Wei; Karthikeyan Natesan Ramamurthy (ICML, 2024)

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; et al. (ICML, 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 001; Sergio Escalera; et al. (CoRR, 2024)

Position Paper: Challenges and Opportunities in Topological Deep Learning. - 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; et al. (CoRR, 2024)

Reasoning about concepts with LLMs: Inconsistencies abound. - Rosario Uceda-Sosa; Karthikeyan Natesan Ramamurthy; Maria Chang 001; Moninder Singh (CoRR, 2024)

Identifying Sub-networks in Neural Networks via Functionally Similar Representations. - Tian Gao 007; Amit Dhurandhar; Karthikeyan Natesan Ramamurthy; Dennis Wei (CoRR, 2024)

Evaluating the Prompt Steerability of Large Language Models. - Erik Miehling; Michael Desmond; Karthikeyan Natesan Ramamurthy; Elizabeth M. Daly; Pierre L. Dognin; Jesus Rios; Djallel Bouneffouf 001; Miao Liu 001 (CoRR, 2024)

Final-Model-Only Data Attribution with a Unifying View of Gradient-Based Methods. - Dennis Wei; Inkit Padhi; Soumya Ghosh; Amit Dhurandhar; Karthikeyan Natesan Ramamurthy; Maria Chang 001 (CoRR, 2024)

Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations. - Swapnaja Achintalwar; Ioana Baldini; Djallel Bouneffouf 001; Joan Byamugisha; Maria Chang 001; Pierre L. Dognin; Eitan Farchi; Ndivhuwo Makondo; Aleksandra Mojsilovic; Manish Nagireddy; Karthikeyan Natesan Ramamurthy; Inkit Padhi; et al. (IEEE Internet Comput., 2024)

Active Sequential Two-Sample Testing. - Weizhi Li; Prad Kadambi; Pouria Saidi; Karthikeyan Natesan Ramamurthy; Gautam Dasarathy; Visar Berisha (Trans. Mach. Learn. Res., 2024)

Protecting Users From Themselves: Safeguarding Contextual Privacy in Interactions with Conversational Agents. - Ivoline C. Ngong; Swanand Ravindra Kadhe; Hao Wang 063; Keerthiram Murugesan; Justin D. Weisz; Amit Dhurandhar; Karthikeyan Natesan Ramamurthy (ACL (Findings), 2025)

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 (ACL (1), 2025)

Programming Refusal with Conditional Activation Steering. - Bruce W. Lee; Inkit Padhi; Karthikeyan Natesan Ramamurthy; Erik Miehling; Pierre L. Dognin; Manish Nagireddy; Amit Dhurandhar (ICLR, 2025)

Evaluating the Prompt Steerability of Large Language Models. - Erik Miehling; Michael Desmond; Karthikeyan Natesan Ramamurthy; Elizabeth M. Daly; Kush R. Varshney; Eitan Farchi; Pierre Dognin; Jesus Rios; Djallel Bouneffouf 001; Miao Liu 001; Prasanna Sattigeri (NAACL (Long Papers), 2025)

Black seed (Nigella sativa) extract enhances early and late apoptosis through activation of caspase-3 mediated regulatory pathway in LC540 cells: A network pharmacological and molecular docking approach. - Sanjay Gopi; S. Madesh; Karthikeyan Ramamurthy; Mikhlid H. Almutairi; Bader O. Almutairi; S. Karthick Raja Namasivayam; Jesu Arockiaraj (Comput. Biol. Chem., 2025)

Regulation of oxytocin receptor by zinc coumarin derivatives: a mechanistic approach to alleviate anxiety and enhance folliculogenesis in letrozole-induced PCOS in zebrafish model. - Karthikeyan Ramamurthy; Sanjay Gopi; S. Madesh; B. Aswinanand; Preeya Negi; Jubie Selvaraj; Mikhlid H. Almutairi; Bader O. Almutairi; S. Karthick Raja Namasivayam; Muthu Kumaradoss Kathiravan; Jesu Arockiaraj (Comput. Biol. Chem., 2025)

Sparsity May Be All You Need: Sparse Random Parameter Adaptation. - Jesus Rios; Pierre L. Dognin; Ronny Luss; Karthikeyan Ramamurthy (CoRR, 2025)

Agentic AI Needs a Systems Theory. - Erik Miehling; Karthikeyan Natesan Ramamurthy; Kush R. Varshney; Matthew Riemer; Djallel Bouneffouf 001; John T. Richards; Amit Dhurandhar; Elizabeth M. Daly; Michael Hind; Prasanna Sattigeri; Dennis Wei; Ambrish Rawat; et al. (CoRR, 2025)

Cross-Examiner: Evaluating Consistency of Large Language Model-Generated Explanations. - Danielle Villa; Maria D. Chang; Keerthiram Murugesan; Rosario Uceda-Sosa; Karthikeyan Natesan Ramamurthy (CoRR, 2025)