Karthikeyan Natesan Ramamurthy
31 papers · 2015–2026 · 12 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (46) π Conference Polyglot Β· Gold π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Grand Slam
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Topic Evolution
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Keyword Pioneer
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Mega-Team Β· Squad
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Conference Pioneer
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Unstoppable Β· Silver
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The Questioner
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Renaissance Researcher
(6)
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Trend Setter
ποΈ
Keyword Collector
(149)
Venues
Top co-authors
Research topics
Machine Learning
(25)
Artificial Intelligence
(20)
Core AI
(19)
Application Areas
(11)
Learning Types Β· Machine Learning
(10)
Optimization & Theory
(10)
Core Methods
(9)
Natural Language Processing
(7)
Deep Learning
(5)
Resources & Methods
(4)
Computer Vision
(2)
Applications
(2)
Architectures
(2)
Generation
(2)
Learning Types Β· Deep Learning
(2)
Keywords
large language model
(8)
local explanation
(3)
convex optimization
(3)
text classification
(2)
active learning
(2)
model selection
(2)
score transformation
(2)
fairness constraint
(2)
topological data analysis
(2)
decision boundary
(2)
algorithmic fairness
(1)
adversarial robustness
(1)
relational learning
(1)
uncertainty quantification
(1)
representation learning
(1)
transfer learning
(1)
model evaluation
(1)
data transformation
(1)
benchmark evaluation
(1)
natural language generation
(1)
Papers
AI Steerability 360: A Toolkit for Steering Large Language Models
ACL 2026
Conceptual Diagnostics for Knowledge Graphs and Large Language Models
ACL 2025
Evaluating the Prompt Steerability of Large Language Models
NAACL 2025
Multi-Level Explanations for Generative Language Models
ACL 2025
Programming Refusal with Conditional Activation Steering
ICLR 2025
Protecting Users From Themselves: Safeguarding Contextual Privacy in Interactions with Conversational Agents
ACL 2025
Sparsity May Be All You Need: Sparse Random Parameter Adaptation
EMNLP 2025
Position: Topological Deep Learning is the New Frontier for Relational Learning
ICML 2024
Ranking Large Language Models without Ground Truth
ACL 2024
TopoX: A Suite of Python Packages for Machine Learning on Topological Domains
JMLR 2024
Trust Regions for Explanations via Black-Box Probabilistic Certification
ICML 2024
Value Alignment from Unstructured Text
EMNLP 2024
Cookie Consent Has Disparate Impact on Estimation Accuracy
NeurIPS 2023
Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models
AAAI 2023
Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant Learning
NeurIPS 2023
The Impact of Positional Encoding on Length Generalization in Transformers
NeurIPS 2023
A label efficient two-sample test
UAI 2022
Is this the Right Neighborhood? Accurate and Query Efficient Model Agnostic Explanations
NeurIPS 2022
Your fairness may vary: Pretrained language model fairness in toxic text classification
ACL 2022
Conditionally independent data generation
UAI 2021
Optimized Score Transformation for Consistent Fair Classification
JMLR 2021
A Natural Language Processing System for Extracting Evidence of Drug Repurposing from Scientific Publications
AAAI 2020
Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness
ICLR 2020
Crowd Counting with Decomposed Uncertainty
AAAI 2020
Finding the Homology of Decision Boundaries with Active Learning
NeurIPS 2020
Model Agnostic Multilevel Explanations
NeurIPS 2020
Optimized Score Transformation for Fair Classification
AISTATS 2020
Topological Data Analysis of Decision Boundaries with Application to Model Selection
ICML 2019
Perturbation Robust Representations of Topological Persistence Diagrams
ECCV 2018
Optimized Pre-Processing for Discrimination Prevention
NeurIPS 2017
Adaptive As-Natural-As-Possible Image Stitching
CVPR 2015