Search Results for author: Arjun Singh

Found 6 papers, 2 papers with code

Impact of the Antenna on the Sub-Terahertz Indoor Channel Characteristics: An Experimental Approach

no code implementations7 Mar 2024 Priyangshu Sen, Sherif Badran, Vitaly Petrov, Arjun Singh, Josep M. Jornet

The results highlight the multi-faceted impact of the antenna gain on the channel and, by extension, the wireless system and, thus, show that an antenna-agnostic channel model cannot capture the propagation characteristics of the THz channel.

SymNoise: Advancing Language Model Fine-tuning with Symmetric Noise

no code implementations3 Dec 2023 Abhay Kumar Yadav, Arjun Singh

However, our approach, SymNoise, increases this score significantly to 69. 04%, using symmetric noisy embeddings.

Language Modelling

Design and Validation of a Metallic Reflectarray for Communications at True Terahertz Frequencies

no code implementations11 Sep 2023 Sherif Badran, Arjun Singh, Arpit Jaiswal, Erik Einarsson, Josep M. Jornet

Wireless communications in the terahertz band (0. 1-10 THz) is a promising and key wireless technology enabling ultra-high data rate communication over multi-gigahertz-wide bandwidths, thus fulfilling the demand for denser networks.

Simple RGC: ImageJ plugins for counting retinal ganglion cells and determining the transduction efficiency of viral vectors in retinal wholemounts

1 code implementation14 Aug 2020 Tiger Cross, Rasika Navarange, Joon-Ho Son, William Burr, Arjun Singh, Kelvin Zhang, Miruna Rusu, Konstantinos Gkoutzis, Andrew Osborne, Bart Nieuwenhuis

Simple RGC consists of a collection of ImageJ plugins to assist researchers investigating retinal ganglion cell (RGC) injury models in addition to helping assess the effectiveness of treatments.

Pretraining Federated Text Models for Next Word Prediction

1 code implementation11 May 2020 Joel Stremmel, Arjun Singh

Federated learning is a decentralized approach for training models on distributed devices, by summarizing local changes and sending aggregate parameters from local models to the cloud rather than the data itself.

Federated Learning Transfer Learning +1

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