BAR: Bayesian Activity Recognition using variational inference. - Ranganath Krishnan; Mahesh Subedar; Omesh Tickoo (CoRR, 2018)

Uncertainty aware multimodal activity recognition with Bayesian inference. - Mahesh Subedar; Ranganath Krishnan; Paulo Lopez-Meyer; Omesh Tickoo; Jonathan Huang (CoRR, 2018)

Uncertainty aware audiovisual activity recognition using deep Bayesian variational inference. - Mahesh Subedar; Ranganath Krishnan; Paulo Lopez-Meyer; Omesh Tickoo; Jonathan Huang (CVPR Workshops, 2019)

Efficient Priors for Scalable Variational Inference in Bayesian Deep Neural Networks. - Ranganath Krishnan; Mahesh Subedar; Omesh Tickoo (ICCV Workshops, 2019)

MOPED: Efficient priors for scalable variational inference in Bayesian deep neural networks. - Ranganath Krishnan; Mahesh Subedar; Omesh Tickoo (CoRR, 2019)

Deep Probabilistic Models to Detect Data Poisoning Attacks. - Mahesh Subedar; Nilesh A. Ahuja; Ranganath Krishnan; Ibrahima J. Ndiour; Omesh Tickoo (CoRR, 2019)

Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes. - Ranganath Krishnan; Mahesh Subedar; Omesh Tickoo (AAAI, 2020)

Improving model calibration with accuracy versus uncertainty optimization. - Ranganath Krishnan; Omesh Tickoo (NeurIPS, 2020)

Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty. - Umang Bhatt; Yunfeng Zhang; Javier Antorán; Q. Vera Liao; Prasanna Sattigeri; Riccardo Fogliato; Gabrielle Gauthier Melançon; Ranganath Krishnan; Jason Stanley; Omesh Tickoo; Lama Nachman; Rumi Chunara; et al. (CoRR, 2020)

Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty. - Umang Bhatt; Javier Antorán; Yunfeng Zhang; Q. Vera Liao; Prasanna Sattigeri; Riccardo Fogliato; Gabrielle Gauthier Melançon; Ranganath Krishnan; Jason Stanley; Omesh Tickoo; Lama Nachman; Rumi Chunara; et al. (AIES, 2021)

Mitigating Sampling Bias and Improving Robustness in Active Learning. - Ranganath Krishnan; Alok Sinha; Nilesh A. Ahuja; Mahesh Subedar; Omesh Tickoo; Ravi Iyer 001 (CoRR, 2021)

Improving Robustness and Efficiency in Active Learning with Contrastive Loss. - Ranganath Krishnan; Nilesh A. Ahuja; Alok Sinha; Mahesh Subedar; Omesh Tickoo; Ravi Iyer 001 (CoRR, 2021)

Continual Active Adaptation to Evolving Distributional Shifts. - Amrutha Machireddy; Ranganath Krishnan; Nilesh A. Ahuja; Omesh Tickoo (CVPR Workshops, 2022)

Reliable Multimodal Trajectory Prediction via Error Aligned Uncertainty Optimization. - Neslihan Kose; Ranganath Krishnan; Akash Dhamasia; Omesh Tickoo; Michael Paulitsch (ECCV Workshops (5), 2022)

Quantization for Bayesian Deep Learning: Low-Precision Characterization and Robustness. - Jun-Liang Lin; Ranganath Krishnan; Keyur Ruganathbhai Ranipa; Mahesh Subedar; Vrushabh Sanghavi; Meena Arunachalam; Omesh Tickoo; Ravishankar Iyer 001; Mahmut Taylan Kandemir (IISWC, 2023)

Source-Free Continual Adaptive Learning With Limited Labels on Evolving Data Drifts. - Amrutha Machireddy; Ranganath Krishnan; Athmanarayanan Lakshmi Narayanan; Omesh Tickoo (ICIP, 2024)

HEAL: Brain-inspired Hyperdimensional Efficient Active Learning. - Yang Ni 001; Zhuowen Zou; Wenjun Huang 001; Hanning Chen; William Youngwoo Chung; Samuel Cho; Ranganath Krishnan; Pietro Mercati; Mohsen Imani (CoRR, 2024)

Parameter-Efficient Active Learning for Foundational models. - Athmanarayanan Lakshmi Narayanan; Ranganath Krishnan; Amrutha Machireddy; Mahesh Subedar (CoRR, 2024)

Enhancing Trust in Large Language Models with Uncertainty-Aware Fine-Tuning. - Ranganath Krishnan; Piyush Khanna; Omesh Tickoo (CoRR, 2024)

SPARC: Subspace-Aware Prompt Adaptation for Robust Continual Learning in LLMs. - Dinithi Jayasuriya; Sina Tayebati; Davide Ettori; Ranganath Krishnan; Amit Ranjan Trivedi (CoRR, 2025)

Learning Conformal Abstention Policies for Adaptive Risk Management in Large Language and Vision-Language Models. - Sina Tayebati; Divake Kumar; Nastaran Darabi; Dinithi Jayasuriya; Ranganath Krishnan; Amit Ranjan Trivedi (CoRR, 2025)

EigenShield: Causal Subspace Filtering via Random Matrix Theory for Adversarially Robust Vision-Language Models. - Nastaran Darabi; Devashri Naik; Sina Tayebati; Dinithi Jayasuriya; Ranganath Krishnan; Amit Ranjan Trivedi (CoRR, 2025)

Optimizing Active Learning in Vision-Language Models via Parameter-Efficient Uncertainty Calibration. - Athmanarayanan Lakshmi Narayanan; Amrutha Machireddy; Ranganath Krishnan (CoRR, 2025)