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Journal Articles
- 2018
[j2]Pratik Prabhanjan Brahma, Yiyuan She, Shijie Li, Jiade Li
, Dapeng Oliver Wu:
Reinforced Robust Principal Component Pursuit. IEEE Trans. Neural Networks Learn. Syst. 29(5): 1525-1538 (2018)- 2016
- [j1]Pratik Prabhanjan Brahma, Dapeng Wu, Yiyuan She:
Why Deep Learning Works: A Manifold Disentanglement Perspective. IEEE Trans. Neural Networks Learn. Syst. 27(10): 1997-2008 (2016)
Conference and Workshop Papers
- 2021
- [c5]Weihuang Xu, Nasim Souly, Pratik Prabhanjan Brahma:
Reliability of GAN Generated Data to Train and Validate Perception Systems for Autonomous Vehicles. WACV (Workshops) 2021: 171-180 - 2019
- [c4]Luca Anthony Thiede, Pratik Prabhanjan Brahma:
Analyzing the Variety Loss in the Context of Probabilistic Trajectory Prediction. ICCV 2019: 9953-9962 - 2018
- [c3]Pratik Prabhanjan Brahma, Adrienne Othon:
Subset Replay Based Continual Learning for Scalable Improvement of Autonomous Systems. CVPR Workshops 2018: 1066-1074 - 2016
- [c2]Aokun Chen, Pratik Prabhanjan Brahma, Dapeng Oliver Wu, Natalie C. Ebner, Brandon Matthews, Jedidiah R. Crandall, Xuetao Wei, Michalis Faloutsos, Daniela Oliveira:
Cross-layer personalization as a first-class citizen for situation awareness and computer infrastructure security. NSPW 2016: 23-35 - 2015
- [c1]Pratik Prabhanjan Brahma:
Prediction of Sunspot Number Using Minimum Error Entropy Cost Based Kernel Adaptive Filters. ICMLA 2015: 325-329
Informal and Other Publications
- 2021
- [i3]Prateek Agrawal, Pratik Prabhanjan Brahma:
Single Shot Multitask Pedestrian Detection and Behavior Prediction. CoRR abs/2101.02232 (2021) - 2019
- [i2]Luca Anthony Thiede, Pratik Prabhanjan Brahma:
Analyzing the Variety Loss in the Context of Probabilistic Trajectory Prediction. CoRR abs/1907.10178 (2019) - 2018
- [i1]Pratik Prabhanjan Brahma, Qiuyuan Huang, Dapeng Oliver Wu:
Structured Memory based Deep Model to Detect as well as Characterize Novel Inputs. CoRR abs/1801.09859 (2018)
Coauthor Index
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