Takip et
Pratik Prabhanjan Brahma
Pratik Prabhanjan Brahma
Sr. Manager, AI Models Research at AMD
amd.com üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Why Deep Learning Works: A Manifold Disentanglement Perspective
PP Brahma, D Wu, Y She
IEEE Transactions on Neural Networks and Learning Systems, 1 - 12, 2015
2372015
Analyzing the variety loss in the context of probabilistic trajectory prediction
LA Thiede, PP Brahma
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
682019
Reinforced Robust Principal Component Pursuit
PP Brahma, Y She, S Li, J Li, D Wu
IEEE Transactions on Neural Networks and Learning Systems, 1 - 14, 2017
292017
Reliability of GAN Generated Data to Train and Validate Perception Systems for Autonomous Vehicles
W Xu, N Souly, PP Brahma
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021
182021
Subset replay based continual learning for scalable improvement of autonomous systems
PP Brahma, A Othon
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition …, 2018
152018
Non-cooperative denial of communication after synchronizing with repeating sequences
PP Brahma, K Bandyopadhyay
IEEE Defense Science Research Conference and Expo (DSR), 2011, 1-4, 2011
82011
Prediction of Sunspot Number Using Minimum Error Entropy Cost Based Kernel Adaptive Filters
PP Brahma
2015 IEEE 14th International Conference on Machine Learning and Applications …, 2015
62015
Single Shot Multitask Pedestrian Detection and Behavior Prediction
P Agrawal, PP Brahma
Neural Information Processing Systems (NeurIPS 2020), ML for Autonomous …, 2021
42021
Apparatus, system and method for fusing sensor data to do sensor translation
PP Brahma, N Souly
US Patent 11,586,865, 2023
32023
Methodologies, systems, and components for incremental and continual learning for scalable improvement of autonomous systems
P Brahma, NJ George, A Othon
US Patent App. 17/059,664, 2021
32021
Variable modulus mechanism for performing equalization without a priori knowledge of modulation type or constellation order
PP Brahma, B Ray
US Patent 8,611,410, 2013
32013
Apparatus, system and method for translating sensor label data between sensor domains
N Souly, PP Brahma
US Patent App. 17/179,214, 2022
22022
Structured memory based deep model to detect as well as characterize novel inputs
PP Brahma, Q Huang, D Wu
arXiv preprint arXiv:1801.09859, 2018
22018
Modular Novelty Detection System for Driving Scenarios
AL Maike Rees , Melanie Senn , Pratik Prabhanjan Brahma
Proceedings of the 5th Collaborative European Research Conference …, 2019
1*2019
Cross-Layer Personalization as a First Class Citizen for Situation Awareness and Computer Infrastructure Security
MFDO Aokun Chen, Pratik Brahma, Dapeng Oliver Wu, Natalie Ebner, Brandon ...
New Security Paradigms Workshop (NSPW), 23--35, 2016
1*2016
Generating synthetic training data for perception machine learning models using simulated environments
E Vahedforough, A Othon, J Langenberg, PP Brahma
US Patent 12,026,229, 2024
2024
Collecting and processing data from vehicles
P Brahma, N George, O Zabluda
US Patent 11,875,551, 2024
2024
Deep learning for characterizing unseen categories
DO Wu, P Brahma
US Patent 11,531,876, 2022
2022
Apparatus, system and method for translating sensor data
PP Brahma, N Souly, O Zabluda, A Othon
US Patent App. 17/179,196, 2022
2022
Detecting objects and determining behaviors of objects
PP Brahma, P Agrawal
US Patent App. 17/070,862, 2022
2022
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