Karthikeyan Natesan Ramamurthy

Orcid: 0000-0002-6021-5930

According to our database1, Karthikeyan Natesan Ramamurthy authored at least 137 papers between 2008 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Active Sequential Two-Sample Testing.
Trans. Mach. Learn. Res., 2024

Identifying Sub-networks in Neural Networks via Functionally Similar Representations.
CoRR, 2024

Programming Refusal with Conditional Activation Steering.
CoRR, 2024

Reasoning about concepts with LLMs: Inconsistencies abound.
CoRR, 2024

Multi-Level Explanations for Generative Language Models.
CoRR, 2024

Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations.
CoRR, 2024

Position Paper: Challenges and Opportunities in Topological Deep Learning.
CoRR, 2024

TopoX: A Suite of Python Packages for Machine Learning on Topological Domains.
CoRR, 2024


Trust Regions for Explanations via Black-Box Probabilistic Certification.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Value Alignment from Unstructured Text.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

Ranking Large Language Models without Ground Truth.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
ICML 2023 Topological Deep Learning Challenge : Design and Results.
CoRR, 2023

Function Composition in Trustworthy Machine Learning: Implementation Choices, Insights, and Questions.
CoRR, 2023


Cookie Consent Has Disparate Impact on Estimation Accuracy.
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.
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.
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.
Proceedings of the IEEE International Conference on Acoustics, 2023

Add-Remove-or-Relabel: Practitioner-Friendly Bias Mitigation via Influential Fairness.
Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Explainable Cross-Topic Stance Detection for Search Results.
Proceedings of the 2023 Conference on Human Information Interaction and Retrieval, 2023

Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Instruction Tools for Signal Processing and Machine Learning for Ion-Channel Sensors.
Int. J. Virtual Pers. Learn. Environ., 2022

Higher-Order Attention Networks.
CoRR, 2022

Analogies and Feature Attributions for Model Agnostic Explanation of Similarity Learners.
CoRR, 2022

A label efficient two-sample test.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Is this the Right Neighborhood? Accurate and Query Efficient Model Agnostic Explanations.
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.
Proceedings of the IEEE International Conference on Acoustics, 2022

Uncertainty Quantification 360: A Hands-on Tutorial.
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.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Estimating Shape Parameters of Piecewise Linear-Quadratic Problems.
Open J. Math. Optim., 2021

Optimized Score Transformation for Consistent Fair Classification.
J. Mach. Learn. Res., 2021

Ground-Truth, Whose Truth? - Examining the Challenges with Annotating Toxic Text Datasets.
CoRR, 2021

Data-Centric AI Requires Rethinking Data Notion.
CoRR, 2021

Your fairness may vary: Group fairness of pretrained language models in toxic text classification.
CoRR, 2021

Uncertainty Quantification 360: A Holistic Toolkit for Quantifying and Communicating the Uncertainty of AI.
CoRR, 2021

Conditionally independent data generation.
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.
CoRR, 2020

Model Agnostic Multilevel Explanations.
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.
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.
Proceedings of the IEEE International Symposium on Information Theory, 2020

Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness.
Proceedings of the 8th International Conference on Learning Representations, 2020

PI-Net: A Deep Learning Approach to Extract Topological Persistence Images.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Optimized Score Transformation for Fair Classification.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Treeview and Disentangled Representations for Explaining Deep Neural Networks Decisions.
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.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Crowd Counting with Decomposed Uncertainty.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Think Your Artificial Intelligence Software Is Fair? Think Again.
IEEE Softw., 2019

AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias.
IBM J. Res. Dev., 2019

FactSheets: Increasing trust in AI services through supplier's declarations of conformity.
IBM J. Res. Dev., 2019

Simultaneous Parameter Learning and Bi-clustering for Multi-Response Models.
Frontiers Big Data, 2019

Drug Repurposing for Cancer: An NLP Approach to Identify Low-Cost Therapies.
CoRR, 2019

Understanding racial bias in health using the Medical Expenditure Panel Survey data.
CoRR, 2019

Teaching AI to Explain its Decisions Using Embeddings and Multi-Task Learning.
CoRR, 2019

Counting and Segmenting Sorghum Heads.
CoRR, 2019

Topological Data Analysis of Decision Boundaries with Application to Model Selection.
Proceedings of the 36th International Conference on Machine Learning, 2019

Bias Mitigation Post-processing for Individual and Group Fairness.
Proceedings of the IEEE International Conference on Acoustics, 2019

TED: Teaching AI to Explain its Decisions.
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

Fair Transfer Learning with Missing Protected Attributes.
Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

2018
Distribution-preserving k-anonymity.
Stat. Anal. Data Min., 2018

Data Pre-Processing for Discrimination Prevention: Information-Theoretic Optimization and Analysis.
IEEE J. Sel. Top. Signal Process., 2018

AI Fairness 360: An Extensible Toolkit for Detecting, Understanding, and Mitigating Unwanted Algorithmic Bias.
CoRR, 2018

Increasing Trust in AI Services through Supplier's Declarations of Conformity.
CoRR, 2018

Teaching Meaningful Explanations.
CoRR, 2018

Exploring High-Dimensional Structure via Axis-Aligned Decomposition of Linear Projections.
Comput. Graph. Forum, 2018

Perturbation Robust Representations of Topological Persistence Diagrams.
Proceedings of the Computer Vision - ECCV 2018, 2018

Detecting and Counting Panicles in Sorghum Images.
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.
IBM J. Res. Dev., 2017

An End-To-End Machine Learning Pipeline That Ensures Fairness Policies.
CoRR, 2017

Optimized Data Pre-Processing for Discrimination Prevention.
CoRR, 2017

Optimized Pre-Processing for Discrimination Prevention.
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.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Distributed Bundle Adjustment.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

A deep learning approach to multiple kernel fusion.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Multiscale evolution of attractor-shape descriptors for assessing Parkinson's disease severity.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Propensity modeling for employee Re-skilling.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

A configurable, big data system for on-demand healthcare cost prediction.
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.
CoRR, 2016

Measuring glomerular number from kidney MRI images.
Proceedings of the Medical Imaging 2016: Image Processing, 2016

Persistent homology of attractors for action recognition.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Auto-context modeling using multiple Kernel learning.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Robust Local Scaling Using Conditional Quantiles of Graph Similarities.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

Empirically-estimable multi-class classification bounds.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Consensus inference on mobile phone sensors for activity recognition.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Beyond L2-loss functions for learning sparse models.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

A Riemannian Framework for Statistical Analysis of Topological Persistence Diagrams.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

2015
Learning Stable Multilevel Dictionaries for Sparse Representations.
IEEE Trans. Neural Networks Learn. Syst., 2015

Data Challenges in Disease Response: The 2014 Ebola Outbreak and Beyond.
ACM J. Data Inf. Qual., 2015

Undergraduate Signal Processing Laboratories for the Android Operating System.
CoRR, 2015

Robust Partially-Compressed Least-Squares.
CoRR, 2015

Health Insurance Market Risk Assessment: Covariate Shift and k-Anonymity.
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.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Toward Comprehensive Attribution of Healthcare Cost Changes.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

Removing data with noisy responses in regression analysis.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Persistent topology of decision boundaries.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Subspace learning using consensus on the grassmannian manifold.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

A talent management tool using propensity to leave analytics.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

Adaptive as-natural-as-possible image stitching.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Image Understanding Using Sparse Representations
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.
IEEE Trans. Image Process., 2014

Kernel Sparse Models for Automated Tumor Segmentation.
Int. J. Artif. Intell. Tools, 2014

Recovering non-negative and combined sparse representations.
Digit. Signal Process., 2014

Multiplicative regression via constrained least squares.
Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

Computing persistent homology under random projection.
Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

Kalman smoothing with persistent nuisance parameters.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Automatic image annotation using inverse maps from semantic embeddings.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Multiple kernel interpolation for inverting non-linear dimensionality reduction and dimension estimation.
Proceedings of the IEEE International Conference on Acoustics, 2014

A scalable feature learning and tag prediction framework for natural environment sounds.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

Consensus inference with multilayer graphs for multi-modal data.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013
New Directions in Sparse Models for Image Analysis and Restoration.
PhD thesis, 2013

Mixing matrix estimation using discriminative clustering for blind source separation.
Digit. Signal Process., 2013

Learning Stable Multilevel Dictionaries for Sparse Representation of Images
CoRR, 2013

Ensemble Sparse Models for Image Analysis
CoRR, 2013

Quantifying and Recommending Expertise When New Skills Emerge.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Boosted dictionaries for image restoration based on sparse representations.
Proceedings of the IEEE International Conference on Acoustics, 2013

A heterogeneous dictionary model for representation and recognition of human actions.
Proceedings of the IEEE International Conference on Acoustics, 2013

Quantile regression for workforce analytics.
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.
Proceedings of the IEEE Frontiers in Education Conference, 2013

2012
Learning Multilevel Dictionaries for Compressed Sensing Using Discriminative Clustering.
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.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Work in progress: Performing signal analysis laboratories using Android devices.
Proceedings of the IEEE Frontiers in Education Conference, 2012

Workshop: Interactive education tools for earth systems and sustainability applications.
Proceedings of the IEEE Frontiers in Education Conference, 2012

Implementation of a fast image coding and retrieval system using a GPU.
Proceedings of the 2012 IEEE International Conference on Emerging Signal Processing Applications, 2012

Automated tumor segmentation using kernel sparse representations.
Proceedings of the 12th IEEE International Conference on Bioinformatics & Bioengineering, 2012

Learning dictionaries with graph embedding constraints.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

2011
Optimality and stability of the K-hyperline clustering algorithm.
Pattern Recognit. Lett., 2011

Transform domain features for ion-channel signal classification.
Biomed. Signal Process. Control., 2011

Improved sparse coding using manifold projections.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Analyte detection using an ion-channel sensor array.
Proceedings of the 17th International Conference on Digital Signal Processing, 2011

Work in progress - Interactive signal-processing labs and simulations on iOS devices.
Proceedings of the 2011 Frontiers in Education Conference, 2011

Work in progress: The J-DSP/ESE software for analyzing Earth systems signals.
Proceedings of the 2011 Frontiers in Education Conference, 2011

Optimized measurements for kernel compressive sensing.
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
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.
Proceedings of the Artificial Intelligence Applications and Innovations, 2010

2009
Template Learning using Wavelet Domain Statistical Models.
Proceedings of the Research and Development in Intelligent Systems XXVI, 2009

Fast image registration with non-stationary Gauss-Markov random field templates.
Proceedings of the International Conference on Image Processing, 2009

2008
Sparse Representations for Pattern Classification using Learned Dictionaries.
Proceedings of the Research and Development in Intelligent Systems XXV, 2008


  Loading...