Ranganath Krishnan
Orcid: 0000-0001-5364-6647
According to our database1,
Ranganath Krishnan
authored at least 16 papers
between 2018 and 2024.
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Bibliography
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
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
2021
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
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
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
CoRR, 2018