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pro vyhledávání: '"Aggarwal Samarth"'
Autor:
Aggarwal Samarth, Farmakidis Nikolaos, Dong Bowei, Lee June Sang, Wang Mengyun, Xu Zhiyun, Bhaskaran Harish
Publikováno v:
Nanophotonics, Vol 13, Iss 12, Pp 2223-2229 (2024)
In the past decade, the proliferation of modern telecommunication technologies, including 5G, and the widespread adoption of the Internet-of-things (IoT) have led to an unprecedented surge in data generation and transmission. This surge has created a
Externí odkaz:
https://doaj.org/article/adc7e9414ec44cf3a8ff484e78d4bb9d
Autor:
Lee June Sang, Farmakidis Nikolaos, Aggarwal Samarth, Dong Bowei, Zhou Wen, Pernice Wolfram H. P., Bhaskaran Harish
Publikováno v:
Nanophotonics, Vol 13, Iss 12, Pp 2117-2125 (2024)
Fast modulation of optical signals that carry multidimensional information in the form of wavelength, phase or polarization has fueled an explosion of interest in integrated photonics. This interest however masks a significant challenge which is that
Externí odkaz:
https://doaj.org/article/f8962950d4304b98a44221f8fdd4bdb8
Autor:
Lugnan, Alessio, Aggarwal, Samarth, Brückerhoff-Plückelmann, Frank, Wright, C. David, Pernice, Wolfram H. P., Bhaskaran, Harish, Bienstman, Peter
Plastic self-adaptation, nonlinear recurrent dynamics and multi-scale memory are desired features in hardware implementations of neural networks, because they enable them to learn, adapt and process information similarly to the way biological brains
Externí odkaz:
http://arxiv.org/abs/2312.03802
Autor:
Lopez-Rodriguez, Bruno, Van Der Kolk, Roald, Aggarwal, Samarth, Sharma, Naresh, Li, Zizheng, Van Der Plaats, Daniel, Scholte, Thomas, Chang, Jin, Pereira, Silvania F., Groeblacher, Simon, Bhaskaran, Harish, Zadeh, Iman Esmaeil Zadeh
Integrated photonic platforms have proliferated in recent years, each demonstrating its own unique strengths and shortcomings. However, given the processing incompatibilities of different platforms, a formidable challenge in the field of integrated p
Externí odkaz:
http://arxiv.org/abs/2306.04491
Autor:
Aggarwal, Samarth, Garg, Rohin, Sancheti, Abhilasha, Guda, Bhanu Prakash Reddy, Burhanuddin, Iftikhar Ahamath
Recent times have seen data analytics software applications become an integral part of the decision-making process of analysts. The users of these software applications generate a vast amount of unstructured log data. These logs contain clues to the
Externí odkaz:
http://arxiv.org/abs/2011.06237
A recent state-of-the-art neural open information extraction (OpenIE) system generates extractions iteratively, requiring repeated encoding of partial outputs. This comes at a significant computational cost. On the other hand, sequence labeling appro
Externí odkaz:
http://arxiv.org/abs/2010.03147
Publikováno v:
ACL 2020, Long paper
While traditional systems for Open Information Extraction were statistical and rule-based, recently neural models have been introduced for the task. Our work builds upon CopyAttention, a sequence generation OpenIE model (Cui et. al., 2018). Our analy
Externí odkaz:
http://arxiv.org/abs/2005.08178
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