Ranganath Krishnan

Orcid: 0000-0001-5364-6647

According to our database1, Ranganath Krishnan authored at least 16 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
HEAL: Brain-inspired Hyperdimensional Efficient Active Learning.
CoRR, 2024

2023
Quantization for Bayesian Deep Learning: Low-Precision Characterization and Robustness.
Proceedings of the IEEE International Symposium on Workload Characterization, 2023

2022
Reliable Multimodal Trajectory Prediction via Error Aligned Uncertainty Optimization.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Continual Active Adaptation to Evolving Distributional Shifts.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Improving Robustness and Efficiency in Active Learning with Contrastive Loss.
CoRR, 2021

Mitigating Sampling Bias and Improving Robustness in Active Learning.
CoRR, 2021

Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty.
CoRR, 2020

Improving model calibration with accuracy versus uncertainty optimization.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Deep Probabilistic Models to Detect Data Poisoning Attacks.
CoRR, 2019

MOPED: Efficient priors for scalable variational inference in Bayesian deep neural networks.
CoRR, 2019

Efficient Priors for Scalable Variational Inference in Bayesian Deep Neural Networks.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Uncertainty-Aware Audiovisual Activity Recognition Using Deep Bayesian Variational Inference.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Uncertainty aware multimodal activity recognition with Bayesian inference.
CoRR, 2018

BAR: Bayesian Activity Recognition using variational inference.
CoRR, 2018


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