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Meet P. Vadera
Meet P. Vadera
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Machine Learning-Based Framework for Multi-Class Diagnosis of Neurodegenerative Diseases: A Study on Parkinson’s Disease
G Singh, M Vadera, L Samavedham, ECH Lim
IFAC-PapersOnLine 49 (7), 990-995, 2016
292016
Generalized Bayesian Posterior Expectation Distillation for Deep Neural Networks
MP Vadera, B Jalaian, BM Marlin
Conference on Uncertainty in Artificial Intelligence (UAI), 2020
202020
URSABench: Comprehensive Benchmarking of Approximate Bayesian Inference Methods for Deep Neural Networks
MP Vadera, AD Cobb, B Jalaian, BM Marlin
arXiv preprint arXiv:2007.04466, 2020
162020
Multiclass Diagnosis of Neurodegenerative Diseases: A Neuroimaging Machine-Learning-Based Approach
G Singh, M Vadera, L Samavedham, ECH Lim
Industrial & Engineering Chemistry Research 58 (26), 11498-11505, 2019
152019
On Uncertainty and Robustness in Large-Scale Intelligent Data Fusion Systems
BM Marlin, T Abdelzaher, G Ciocarlie, AD Cobb, M Dennison, B Jalaian, ...
2020 IEEE Second International Conference on Cognitive Machine Intelligence …, 2020
102020
Post-hoc loss-calibration for Bayesian neural networks
MP Vadera, S Ghosh, K Ng, BM Marlin
Uncertainty in Artificial Intelligence, 1403-1412, 2021
92021
Challenges and Opportunities in Approximate Bayesian Deep Learning for Intelligent IoT Systems
MP Vadera, BM Marlin
2021 IEEE Third International Conference on Cognitive Machine Intelligence …, 2021
62021
Assessing the Adversarial Robustness of Monte Carlo and Distillation Methods for Deep Bayesian Neural Network Classification
MP Vadera, SN Shukla, B Jalaian, BM Marlin
arXiv preprint arXiv:2002.02842, 2020
52020
URSABench: A System for Comprehensive Benchmarking of Bayesian Deep Neural Network Models and Inference methods
M Vadera, J Li, A Cobb, B Jalaian, T Abdelzaher, B Marlin
Proceedings of Machine Learning and Systems 4, 217-237, 2022
42022
Towards Joint Segmentation and Active Learning for Block-Structured Data Streams
C Holtsclaw, MP Vadera, BM Marlin
The ACM SIGKDD Conference on Knowledge Discovery and Data Mining Workshop on …, 2019
22019
POST-HOC LOSS-CALIBRATION FOR BAYESIAN NEURAL NETWORKS
MP Vadera, U Kartoun, S Ghosh, K NG
US Patent App. 17/345,099, 2022
12022
Impact of Parameter Sparsity on Stochastic Gradient MCMC Methods for Bayesian Deep Learning
MP Vadera, AD Cobb, B Jalaian, BM Marlin
arXiv preprint arXiv:2202.03770, 2022
12022
Adversarial Distillation of Bayesian Neural Networks
SN Shukla, MP Vadera, B Jalaian, BM Marlin
12020
Investigating Fusion-Based Deep Learning Architectures for Smoking Puff Detection
B Marlin, MP Vadera
2019 IEEE/ACM International Conference on Connected Health: Applications …, 2019
12019
Assessing the Robustness of Bayesian Dark Knowledge to Posterior Uncertainty
MP Vadera, BM Marlin
arXiv preprint arXiv:1906.01724, 2019
12019
Uncertainty Quantification Using Query-Based Object Detectors
MP Vadera, C Samplawski, BM Marlin
European Conference on Computer Vision, 78-93, 2022
2022
Approximate Bayesian Deep Learning for Resource-Constrained Environments
MP Vadera
2022
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