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Ranganath Krishnan
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2020 – today
- 2024
- [i11]Yang Ni, Zhuowen Zou, Wenjun Huang, Hanning Chen, William Youngwoo Chung, Samuel Cho, Ranganath Krishnan, Pietro Mercati, Mohsen Imani:
HEAL: Brain-inspired Hyperdimensional Efficient Active Learning. CoRR abs/2402.11223 (2024) - [i10]Athmanarayanan Lakshmi Narayanan, Ranganath Krishnan, Amrutha Machireddy, Mahesh Subedar:
Parameter-Efficient Active Learning for Foundational models. CoRR abs/2406.09296 (2024) - 2023
- [c9]Jun-Liang Lin, Ranganath Krishnan, Keyur Ruganathbhai Ranipa, Mahesh Subedar, Vrushabh Sanghavi, Meena Arunachalam, Omesh Tickoo, Ravishankar Iyer, Mahmut Taylan Kandemir:
Quantization for Bayesian Deep Learning: Low-Precision Characterization and Robustness. IISWC 2023: 180-192 - 2022
- [c8]Amrutha Machireddy, Ranganath Krishnan, Nilesh A. Ahuja, Omesh Tickoo:
Continual Active Adaptation to Evolving Distributional Shifts. CVPR Workshops 2022: 3443-3449 - [c7]Neslihan Kose, Ranganath Krishnan, Akash Dhamasia, Omesh Tickoo, Michael Paulitsch:
Reliable Multimodal Trajectory Prediction via Error Aligned Uncertainty Optimization. ECCV Workshops (5) 2022: 443-458 - [i9]Neslihan Kose, Ranganath Krishnan, Akash Dhamasia, Omesh Tickoo, Michael Paulitsch:
Reliable Multimodal Trajectory Prediction via Error Aligned Uncertainty Optimization. CoRR abs/2212.04812 (2022) - 2021
- [c6]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, Madhulika Srikumar, Adrian Weller, Alice Xiang:
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty. AIES 2021: 401-413 - [i8]Ranganath Krishnan, Alok Sinha, Nilesh A. Ahuja, Mahesh Subedar, Omesh Tickoo, Ravi Iyer:
Mitigating Sampling Bias and Improving Robustness in Active Learning. CoRR abs/2109.06321 (2021) - [i7]Ranganath Krishnan, Nilesh A. Ahuja, Alok Sinha, Mahesh Subedar, Omesh Tickoo, Ravi Iyer:
Improving Robustness and Efficiency in Active Learning with Contrastive Loss. CoRR abs/2109.06873 (2021) - 2020
- [c5]Ranganath Krishnan, Mahesh Subedar, Omesh Tickoo:
Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical Bayes. AAAI 2020: 4477-4484 - [c4]Ranganath Krishnan, Omesh Tickoo:
Improving model calibration with accuracy versus uncertainty optimization. NeurIPS 2020 - [i6]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, Adrian Weller, Alice Xiang:
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty. CoRR abs/2011.07586 (2020) - [i5]Ranganath Krishnan, Omesh Tickoo:
Improving model calibration with accuracy versus uncertainty optimization. CoRR abs/2012.07923 (2020)
2010 – 2019
- 2019
- [c3]Mahesh Subedar, Ranganath Krishnan, Paulo Lopez-Meyer, Omesh Tickoo, Jonathan Huang:
Uncertainty aware audiovisual activity recognition using deep Bayesian variational inference. CVPR Workshops 2019: 103-108 - [c2]Mahesh Subedar, Ranganath Krishnan, Paulo Lopez-Meyer, Omesh Tickoo, Jonathan Huang:
Uncertainty-Aware Audiovisual Activity Recognition Using Deep Bayesian Variational Inference. ICCV 2019: 6300-6309 - [c1]Ranganath Krishnan, Mahesh Subedar, Omesh Tickoo:
Efficient Priors for Scalable Variational Inference in Bayesian Deep Neural Networks. ICCV Workshops 2019: 773-777 - [i4]Ranganath Krishnan, Mahesh Subedar, Omesh Tickoo:
MOPED: Efficient priors for scalable variational inference in Bayesian deep neural networks. CoRR abs/1906.05323 (2019) - [i3]Mahesh Subedar, Nilesh A. Ahuja, Ranganath Krishnan, Ibrahima J. Ndiour, Omesh Tickoo:
Deep Probabilistic Models to Detect Data Poisoning Attacks. CoRR abs/1912.01206 (2019) - 2018
- [i2]Ranganath Krishnan, Mahesh Subedar, Omesh Tickoo:
BAR: Bayesian Activity Recognition using variational inference. CoRR abs/1811.03305 (2018) - [i1]Mahesh Subedar, Ranganath Krishnan, Paulo Lopez-Meyer, Omesh Tickoo, Jonathan Huang:
Uncertainty aware multimodal activity recognition with Bayesian inference. CoRR abs/1811.10811 (2018)
Coauthor Index
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