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Sakyasingha Dasgupta
Sakyasingha Dasgupta
Founder at Edgecortix, Inc.
Подтвержден адрес электронной почты в домене edgecortix.com - Главная страница
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Процитировано
Процитировано
Год
Hardware/software co-exploration of neural architectures
W Jiang, L Yang, EHM Sha, Q Zhuge, S Gu, S Dasgupta, Y Shi, J Hu
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2020
1792020
Model-based deep reinforcement learning for dynamic portfolio optimization
P Yu, JS Lee, I Kulyatin, Z Shi, S Dasgupta
arXiv preprint arXiv:1901.08740, 2019
972019
Nonlinear dynamic Boltzmann machines for time-series prediction
S Dasgupta, T Osogami
Proceedings of the AAAI conference on artificial intelligence 31 (1), 2017
942017
Standing on the shoulders of giants: Hardware and neural architecture co-search with hot start
W Jiang, L Yang, S Dasgupta, J Hu, Y Shi
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2020
832020
Learning machine based detection of abnormal network performance
JP Vasseur, G Mermoud, S Dasgupta
US Patent 9,628,362, 2017
782017
Multiple chaotic central pattern generators with learning for legged locomotion and malfunction compensation
G Ren, W Chen, S Dasgupta, C Kolodziejski, F Wörgötter, P Manoonpong
Information Sciences 294, 666–682, 2015
682015
Transfer learning from synthetic to real images using variational autoencoders for precise position detection
T Inoue, S Choudhury, G De Magistris, S Dasgupta
2018 25th IEEE International Conference on Image Processing (ICIP), 2725-2729, 2018
612018
Scheduling predictive models for machine learning systems
JP Vasseur, S Dasgupta, G Mermoud
US Patent 9,794,145, 2017
492017
Information dynamics based self-adaptive reservoir for delay temporal memory tasks
S Dasgupta, F Wörgötter, P Manoonpong
Evolving Systems 4, 235-249, 2013
482013
A neurocomputational model of goal-directed navigation in insect-inspired artificial agents
D Goldschmidt, P Manoonpong, S Dasgupta
Frontiers in neurorobotics 11, 20, 2017
442017
Learning mixtures of Gaussians using the k-means algorithm
K Chaudhuri, S Dasgupta, A Vattani
arXiv preprint arXiv:0912.0086, 2009
432009
The use of hebbian cell assemblies for nonlinear computation
C Tetzlaff, S Dasgupta, T Kulvicius, F Wörgötter
Scientific reports 5 (1), 12866, 2015
392015
Neuromodulatory adaptive combination of correlation-based learning in cerebellum and reward-based learning in basal ganglia for goal-directed behavior control
S Dasgupta, F Wörgötter, P Manoonpong
Frontiers in neural circuits 8, 126, 2014
392014
Distributed Recurrent Neural Forward Models with Synaptic Adaptation and CPG-based control for Complex Behaviors of Walking Robots
S Dasgupta, D Goldschmidt, F Wörgötter, P Manoonpong
Frontiers in Neurorobotics 9 (10), 17, 2015
372015
Diameter-based active learning
C Tosh, S Dasgupta
International Conference on Machine Learning, 3444-3452, 2017
352017
25th annual computational neuroscience meeting: CNS-2016
TO Sharpee, A Destexhe, M Kawato, V Sekulić, FK Skinner, DK Wójcik, ...
BMC neuroscience 17, 1-112, 2016
272016
Internal model from observations for reward shaping
D Kimura, S Chaudhury, R Tachibana, S Dasgupta
arXiv preprint arXiv:1806.01267, 2018
252018
Neural network cooperation
S Dasgupta
US Patent 11,593,611, 2023
242023
Dancing along battery: Enabling transformer with run-time reconfigurability on mobile devices
Y Song, W Jiang, B Li, P Qi, Q Zhuge, EHM Sha, S Dasgupta, Y Shi, ...
2021 58th ACM/IEEE Design Automation Conference (DAC), 1003-1008, 2021
212021
Transfer learning from synthetic to real images using variational autoencoders for robotic applications
T Inoue, S Chaudhury, G De Magistris, S Dasgupta
arXiv preprint arXiv:1709.06762, 2017
212017
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