Ranganath Krishnan

Capital One (United States) — United States

Computer Science · Physical Sciences

7h-index361citations34works0.42yr avg
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Research Topics

Anomaly Detection Techniques and Applications(10), Domain Adaptation and Few-Shot Learning(7), Adversarial Robustness in Machine Learning(7), Machine Learning and Data Classification(7), Machine Learning and Algorithms(5)

Publications34 total

EigenTrack: Spectral Activation Feature Tracking for Hallucination and Out-of-Distribution Detection in LLMs and VLMs
arXiv (Cornell University)·2025Open Access
SPARC: Subspace-Aware Prompt Adaptation for Robust Continual Learning in LLMs
2025· 1 cited
Optimizing Active Learning in Vision-Language Models via Parameter-Efficient Uncertainty Calibration
2025
Learning Conformal Abstention Policies for Adaptive Risk Management in Large Language and Vision-Language Models
arXiv (Cornell University)·2025Open Access
SPARC: Subspace-Aware Prompt Adaptation for Robust Continual Learning in LLMs
arXiv (Cornell University)·2025Open Access
HEAL: Brain-inspired Hyperdimensional Efficient Active Learning
IEEE Transactions on Artificial Intelligence·2025
Enhancing Trust in Large Language Models with Uncertainty-Aware Fine-Tuning
arXiv (Cornell University)·2024Open Access
Source-Free Continual Adaptive Learning With Limited Labels on Evolving Data Drifts
2024· 1 cited
Parameter-Efficient Active Learning for Foundational models
arXiv (Cornell University)·2024Open Access
HEAL: Brain-inspired Hyperdimensional Efficient Active Learning
arXiv (Cornell University)·2024· 2 citedOpen Access
Quantization for Bayesian Deep Learning: Low-Precision Characterization and Robustness
2023· 3 cited
Quantization for Bayesian Deep Learning: Low-Precision Characterization and Robustness
2023Open Access
Reliable Multimodal Trajectory Prediction via Error Aligned Uncertainty Optimization
Lecture notes in computer science·2023· 3 cited
Reliable Multimodal Trajectory Prediction via Error Aligned Uncertainty Optimization
arXiv (Cornell University)·2022Open Access
Continual Learning via Dynamic Programming
2022 26th International Conference on Pattern Recognition (ICPR)·2022
Continual Active Adaptation to Evolving Distributional Shifts
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)·2022· 6 cited
Epistemic Uncertainty Quantification in Human Trajectory Prediction
Intelligent systems reference library·2022· 2 cited
Improving Robustness and Efficiency in Active Learning with Contrastive Loss.
arXiv (Cornell University)·2021· 1 citedOpen Access
Mitigating Sampling Bias and Improving Robustness in Active Learning
arXiv (Cornell University)·2021Open Access
Robust Contrastive Active Learning with Feature-guided Query Strategies
arXiv (Cornell University)·2021Open Access
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Frequent Co-authors

Omesh Tickoo(23), Mahesh Subedar(16), Nilesh Ahuja(5), Amrutha Machireddy(4), Sina Tayebati(4), Amit Ranjan Trivedi(4), Jonathan Huang(3), Athma Narayanan(3), Alok Sinha(3), Dinithi Jayasuriya(3), Dominique Ettori(3), Umang Bhatt(2), Javier Antorán(2), Yunfeng Zhang(2), Q. Vera Liao(2), Prasanna Sattigeri(2), Riccardo Fogliato(2), Gabrielle Gauthier Melançon(2), Jason Stanley(2), Lama Nachman(2)