no code implementations • 23 May 2024 • Viraat Aryabumi, John Dang, Dwarak Talupuru, Saurabh Dash, David Cairuz, Hangyu Lin, Bharat Venkitesh, Madeline Smith, Kelly Marchisio, Sebastian Ruder, Acyr Locatelli, Julia Kreutzer, Nick Frosst, Phil Blunsom, Marzieh Fadaee, Ahmet Üstün, Sara Hooker
This technical report introduces Aya 23, a family of multilingual language models.
no code implementations • 11 Aug 2022 • Saurabh Dash, Xueyuan She, Saibal Mukhopadhyay
We present a novel Recurrent Graph Network (RGN) approach for predicting discrete marked event sequences by learning the underlying complex stochastic process.
no code implementations • 13 Jul 2022 • Beomseok Kang, Harshit Kumar, Saurabh Dash, Saibal Mukhopadhyay
Learning the evolution of real-time strategy (RTS) game is a challenging problem in artificial intelligent (AI) system.
no code implementations • ICLR 2022 • Xueyuan She, Saurabh Dash, Saibal Mukhopadhyay
Moreover, we prove that heterogeneous neurons with varying dynamics and skip-layer connections improve sequence approximation using feedforward SNN.
Ranked #1 on Image Classification on N-Caltech 101
1 code implementation • 14 Apr 2020 • Priyabrata Saha, Saurabh Dash, Saibal Mukhopadhyay
Spatio-temporal dynamics of physical processes are generally modeled using partial differential equations (PDEs).