| 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 | 34 | 2016 |
| Generalized Bayesian Posterior Expectation Distillation for Deep Neural Networks MP Vadera, B Jalaian, BM Marlin Conference on Uncertainty in Artificial Intelligence (UAI), 2020 | 20 | 2020 |
| 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 | 19 | 2020 |
| 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 | 17 | 2019 |
| Post-hoc loss-calibration for Bayesian neural networks MP Vadera, S Ghosh, K Ng, BM Marlin Uncertainty in Artificial Intelligence, 1403-1412, 2021 | 12 | 2021 |
| 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 | 12 | 2020 |
| 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 | 9 | 2022 |
| 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 | 7 | 2021 |
| 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 | 6 | 2020 |
| 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 | 2 | 2019 |
| Assessing the Robustness of Bayesian Dark Knowledge to Posterior Uncertainty MP Vadera, BM Marlin arXiv preprint arXiv:1906.01724, 2019 | 2 | 2019 |
| POST-HOC LOSS-CALIBRATION FOR BAYESIAN NEURAL NETWORKS MP Vadera, U Kartoun, S Ghosh, K NG US Patent App. 17/345,099, 2022 | 1 | 2022 |
| Uncertainty Quantification Using Query-Based Object Detectors MP Vadera, C Samplawski, BM Marlin European Conference on Computer Vision, 78-93, 2022 | 1 | 2022 |
| 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 | 1 | 2022 |
| Adversarial Distillation of Bayesian Neural Networks SN Shukla, MP Vadera, B Jalaian, BM Marlin | 1 | 2020 |
| Investigating Fusion-Based Deep Learning Architectures for Smoking Puff Detection B Marlin, MP Vadera 2019 IEEE/ACM International Conference on Connected Health: Applications …, 2019 | 1 | 2019 |
| Approximate Bayesian Deep Learning for Resource-Constrained Environments MP Vadera | | 2022 |
Benjamin M. MarlinManning College of Information and Computer Sciences, UMass AmherstVerified email at umass.edu
