Subhro Das
Subhro Das
Research Staff Member, MIT-IBM Watson AI Lab, IBM Research
Geverifieerd e-mailadres voor ibm.com - Homepage
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Distributed Kalman Filtering with Dynamic Observations Consensus
S Das, JMF Moura
IEEE Transactions on Signal Processing 63 (17), 4458 - 4473, 2015
962015
Consensus+Innovations Distributed Kalman Filter with Optimized Gains
S Das, JMF Moura
IEEE Transactions on Signal Processing 65 (2), 467 - 481, 2017
652017
Distributed state estimation in multi-agent networks
S Das, JMF Moura
ICASSP: 38th International Conference on Acoustics, Speech, and Signal …, 2013
222013
Distributed kalman filtering
S Das, JMF Moura
EUSIPCO: Proceedings of the 21st European Signal Processing Conference, 2013
92013
Distributed Kalman filtering and network tracking capacity
S Das, JMF Moura
47th Asilomar Conference on Signals, Systems, and Computers, 629-633, 2013
82013
Distributed linear estimation of dynamic random fields
S Das, JMF Moura
51st Annual Allerton Conference on Communication, Control, and Computing …, 2013
82013
Making Sense of Patient-Generated Health Data for Interpretable Patient-Centered Care: The Transition from "More" to "Better"
PYS Hseuh, S Dey, S Das, T Wetter
Studies in Health Technology and Informatics 245, 113-117, 2017
72017
Learning Occupational Task-Shares Dynamics for the Future of Work
S Das, S Steffen, W Clarke, P Reddy, E Brynjolfsson, M Fleming
Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society, 36-42, 2020
42020
The Future of Work: How New Technologies Are Transforming Tasks
M Fleming, W Clarke, S Das, P Phongthiengtham, P Reddy
MIT-IBM Watson AI Lab, 2019
42019
Verifiably safe exploration for end-to-end reinforcement learning
N Hunt, N Fulton, S Magliacane, N Hoang, S Das, A Solar-Lezama
arXiv preprint arXiv:2007.01223, 2020
22020
Learning to Personalize from Practice: A Real World Evidence Approach of Care Plan Personalization based on Differential Patient Behavioral Responses in Care Management Records
PY Hsueh, S Das, C Maduri, K Kelly
Proceedings of AMIA Annual Symposium, 2018
22018
A personalized pacing system for real-time physical activity advising
HY Chang, Z Li, S Das, T Hao, C Maduri, C Partovian, J Codella, ...
2017 IEEE/ACM International Conference on Connected Health: Applications …, 2017
22017
Interpretable Clustering for Prototypical Patient Understanding: A Case Study of Hypertension and Depression Subgroup Behavioral Profiling in National Health and Nutrition …
PY Hsueh, S Das
Proceedings of AMIA Annual Symposium, 2017
22017
Model adaptation and unsupervised learning with non-stationary batch data under smooth concept drift
S Das, P Lade, S Soundar
NIPS Time Series Workshop, 2016
2*2016
Forecasting Task-Shares and Characterizing Occupational Change across Industry Sectors
S Das, S Steffen, P Reddy, E Brynjolfsson, M Fleming
Harvard CRCS Workshop on AI for Social Good, 2020
12020
Model adaption and online learning for unstable environments
S Das, P Lade, S Srinivasan, R Ghosh
US Patent App. 15/346,707, 2017
12017
Distributed Linear Filtering and Prediction of Time-varying Random Fields
S Das
Carnegie Mellon University, 2016
12016
Online Optimal Control with Affine Constraints
Y Li, S Das, N Li
arXiv preprint arXiv:2010.04891, 2020
2020
A Dynamical Systems Approach for Convergence of the Bayesian EM Algorithm
O Romero, S Das, PY Chen, S Pequito
arXiv preprint arXiv:2006.12690, 2020
2020
GAT-GMM: Generative Adversarial Training for Gaussian Mixture Models
F Farnia, W Wang, S Das, A Jadbabaie
arXiv preprint arXiv:2006.10293, 2020
2020
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Artikelen 1–20