Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Aidin Shiri"'
Autor:
Nitheesh Kumar Manjunath, Aidin Shiri, Morteza Hosseini, Bharat Prakash, Nicholas R. Waytowich, Tinoosh Mohsenin
Publikováno v:
IEEE Open Journal of Circuits and Systems, Vol 2, Pp 182-195 (2021)
In EdgeAI embedded devices that exploit reinforcement learning (RL), it is essential to reduce the number of actions taken by the agent in the real world and minimize the compute-intensive policies learning process. Convolutional autoencoders (AEs) h
Externí odkaz:
https://doaj.org/article/07ff7d91b0764d1fac43a58fabeacddc
Publikováno v:
IEEE Micro. 42:107-114
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb87a1698095d7d66c289246318a05af
https://doi.org/10.1109/mm.2022.3199686
https://doi.org/10.1109/mm.2022.3199686
Autor:
Aidin Shiri, Uttej Kallakuri, Hasib-Al Rashid, Bharat Prakash, Nicholas R. Waytowich, Tim Oates, Tinoosh Mohsenin
Publikováno v:
ACM Transactions on Design Automation of Electronic Systems. 27:1-19
Recently, Reinforcement Learning (RL) has shown great performance in solving sequential decision-making and control in dynamic environment problems. Despite its achievements, deploying Deep Neural Network (DNN)-based RL is expensive in terms of time
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6201e386da75a073328a09dfe026e2eb
https://doi.org/10.1145/3498327
https://doi.org/10.1145/3498327
Autor:
Arnab Neelim Mazumder, Bharat Prakash, Tinoosh Mohsenin, Houman Homayoun, Nicholas R. Waytowich, Aidin Shiri
Publikováno v:
IEEE Design & Test. 39:37-44
Reinforcement learning (RL) has shown great performance in solving sequential decision-making problems. This paper proposes a framework to train RL agents conditioned on constraints that are in the form of structured language to improve training effi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a5eb5b63a0ffe3512e63c51028baefb3
https://doi.org/10.1109/mdat.2021.3063363
https://doi.org/10.1109/mdat.2021.3063363
Publikováno v:
2022 IEEE 4th International Conference on Artificial Intelligence Circuits and Systems (AICAS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ea5c72f02664cfafe282f09b105bad52
https://doi.org/10.1109/aicas54282.2022.9869975
https://doi.org/10.1109/aicas54282.2022.9869975
Autor:
Nicholas R. Waytowich, Tim Oates, Bharat Prakash, Aidin Shiri, Tinoosh Mohsenin, Arnab Neelim Mazumder
Publikováno v:
AICAS
Reinforcement Learning (RL) has shown great performance in solving sequential decision-making and control in dynamic environments problems. Despite its achievements, training Deep Neural Network (DNN) based RL is expensive in terms of time and power
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cfbaead878245e480fb427453136b756
https://doi.org/10.1109/aicas51828.2021.9458548
https://doi.org/10.1109/aicas51828.2021.9458548
Autor:
Aidin Shiri, Haoran Ren, Arnab Neelim Mazumder, Vandana Chandrareddy, Nitheesh Kumar Manjunath, Hasib-Al Rashid, Tinoosh Mohsenin
Publikováno v:
SoCC
With the onset of the highly contagious COVID-19 pandemic, early-stage and clinic-independent machine assistance is essential for initial disease diagnosis based on its symptoms such as fever, dry cough, fatigue, and dyspnea. This paper proposes a sc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75830a3f49a98fda872beec980bd91ab
https://doi.org/10.1109/socc49529.2020.9524755
https://doi.org/10.1109/socc49529.2020.9524755
Autor:
Nitheesh Kumar Manjunath, Houman Homayoun, Bharat Prakash, Avesta Sasan, Tinoosh Mohsenin, Aidin Shiri, Arnab Neelim Mazumder, Nicholas R. Waytowich
Publikováno v:
ACM Great Lakes Symposium on VLSI
Reinforcement learning (RL) has shown great performance in solving sequential decision-making problems. While a lot of works have done on processing state information such as images, there has been some effort towards integrating natural language ins
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36f790bd444c27a3ded367f2f1322673
https://doi.org/10.1145/3386263.3407652
https://doi.org/10.1145/3386263.3407652
Publikováno v:
2019 27th Iranian Conference on Electrical Engineering (ICEE).
In linear algebra, Singular Value Decomposition (SVD) refers to factorization process of real or complex matrices that has many applications in engineering, including signal processing, image processing, robotics, bioinformatics, and so forth. Calcul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::651b1d3c4a1d7d8d50eae6b60ee51cc0
https://doi.org/10.1109/iraniancee.2019.8786719
https://doi.org/10.1109/iraniancee.2019.8786719