| Multi-rate attention based gru model for engagement prediction B Zhu, X Lan, X Guo, KE Barner, C Boncelet Proceedings of the 2020 International Conference on Multimodal Interaction …, 2020 | 29 | 2020 |
| PAC-Bayesian generalization bounds for multilayer perceptrons X Lan, X Guo, KE Barner arXiv preprint arXiv:2006.08888, 2020 | 5 | 2020 |
| From mrfs to cnns: A novel image restoration method X Lan, K Barner 2018 52nd Annual Conference on Information Sciences and Systems (CISS), 1-5, 2018 | 5 | 2018 |
| Field of experts: Optimal structured bayesian compressed sensing X Lan, K Barner 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2017 | 5 | 2017 |
| A synthetic dataset for deep learning X Lan arXiv preprint arXiv:1906.11905, 2019 | 3 | 2019 |
| An Information Theoretic Defense Algorithm against Adversarial Attacks on Deep Learning X Lan, S Bayram, K Barner Proceedings of the 3rd International Conference on Advanced Information …, 2021 | 2 | 2021 |
| A Probabilistic Representation of Deep Learning X Lan, KE Barner arXiv preprint arXiv:1908.09772, 2019 | 2 | 2019 |
| A Probabilistic Representation of DNNs: Bridging Mutual Information and Generalization X Lan, K Barner arXiv preprint arXiv:2106.10262, 2021 | 1 | 2021 |
| A Probabilistic Representation of Deep Learning for Improving The Information Theoretic Interpretability X Lan, KE Barner arXiv preprint arXiv:2010.14054, 2020 | 1 | 2020 |
| Explicitly Bayesian Regularizations in Deep Learning X Lan, KE Barner arXiv preprint arXiv:1910.09732, 2019 | 1 | 2019 |
| Designing information theoretic algorithms for improving deep learning generalization X Lan University of Delaware, 2022 | | 2022 |
| A Probabilistic Representation for Deep Learning: Delving into The Information Bottleneck Principle X LAN, K Barner | | 2021 |
| Beyond the Bias Variance Trade-Off: A Mutual Information Trade-Off in Deep Learning X Lan, B Zhu, C Boncelet, K Barner 2021 IEEE 31st International Workshop on Machine Learning for Signal …, 2021 | | 2021 |
| Regularization Learning for Image Recognition X Lan, K Barner 2019 18th IEEE International Conference On Machine Learning And Applications …, 2019 | | 2019 |
| Probabilistic modeling the hidden layers of deep neural networks X Lan, KE Barner | | 2019 |
| Bayesian Convolutional Neural Networks for Compressed Sensing Restoration X Lan, X Guo, KE Barner arXiv preprint arXiv:1811.04356, 2018 | | 2018 |
Kenneth E. BarnerCharles B Evans Professor, Electrical and Computer Engineering, University of DelawareVerified email at udel.edu
