A Heterogeneous Spiking Neural Network for Unsupervised Learning of Spatiotemporal Patterns von She, Xueyuan, Dash, Saurabh, Kim, Daehyun, Mukhopadhyay, Saibal

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Impact of HKMG and FDSOI FeFET drain current variation in processing-in-memory architectures von Miller, Nathan Eli, Wang, Zheng, Dash, Saurabh, Khan, Asif Islam, Mukhopadhyay, Saibal

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Physics-incorporated convolutional recurrent neural networks for source identification and forecasting of dynamical systems von Saha, Priyabrata, Dash, Saurabh, Mukhopadhyay, Saibal

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Robust Processing-In-Memory With Multibit ReRAM Using Hessian-Driven Mixed-Precision Computation von Dash, Saurabh, Luo, Yandong, Lu, Anni, Yu, Shimeng, Mukhopadhyay, Saibal

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A Flexible Precision Multi-Format In-Memory Vector Matrix Multiplication Engine in 65 nm CMOS With RF Machine Learning Support von Mukherjee, Mandovi, Long, Yun, Woo, Jongseok, Kim, Daehyun, Rahman, Nael Mizanur, Dash, Saurabh, Mukhopadhyay, Saibal

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Outliers and Calibration Sets have Diminishing Effect on Quantization of Modern LLMs von Paglieri, Davide, Dash, Saurabh, Rocktäschel, Tim, Parker-Holder, Jack

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Learning Point Processes using Recurrent Graph Network von Dash, Saurabh, She, Xueyuan, Mukhopadhyay, Saibal

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How Does Quantization Affect Multilingual LLMs? von Marchisio, Kelly, Dash, Saurabh, Chen, Hongyu, Aumiller, Dennis, Üstün, Ahmet, Hooker, Sara, Ruder, Sebastian

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Unsupervised Hebbian Learning on Point Sets in StarCraft II von Kang, Beomseok, Kumar, Harshit, Dash, Saurabh, Mukhopadhyay, Saibal

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Physics-Incorporated Convolutional Recurrent Neural Networks for Source Identification and Forecasting of Dynamical Systems von Saha, Priyabrata, Dash, Saurabh, Mukhopadhyay, Saibal

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Intriguing Properties of Quantization at Scale von Ahmadian, Arash, Dash, Saurabh, Chen, Hongyu, Venkitesh, Bharat, Gou, Stephen, Blunsom, Phil, Üstün, Ahmet, Hooker, Sara

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Outliers and Calibration Sets have Diminishing Effect on Quantization of Modern LLMs von Paglieri, Davide, Dash, Saurabh, Rocktäschel, Tim, Parker-Holder, Jack

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Learning Point Processes using Recurrent Graph Network von Dash, Saurabh, She, Xueyuan, Mukhopadhyay, Saibal

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Physics-Incorporated Convolutional Recurrent Neural Networks for Source Identification and Forecasting of Dynamical Systems von Saha, Priyabrata, Dash, Saurabh, Mukhopadhyay, Saibal

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Aya 23: Open Weight Releases to Further Multilingual Progress von Aryabumi, Viraat, Dang, John, Talupuru, Dwarak, Dash, Saurabh, Cairuz, David, Lin, Hangyu, Venkitesh, Bharat, Smith, Madeline, Campos, Jon Ander, Tan, Yi Chern, Marchisio, Kelly, Bartolo, Max, Ruder, Sebastian, Locatelli, Acyr, Kreutzer, Julia, Frosst, Nick, Gomez, Aidan, Blunsom, Phil, Fadaee, Marzieh, Üstün, Ahmet, Hooker, Sara

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How Does Quantization Affect Multilingual LLMs? von Marchisio, Kelly, Dash, Saurabh, Chen, Hongyu, Aumiller, Dennis, Üstün, Ahmet, Hooker, Sara, Ruder, Sebastian

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Intriguing Properties of Quantization at Scale von Ahmadian, Arash, Dash, Saurabh, Chen, Hongyu, Venkitesh, Bharat, Gou, Stephen, Blunsom, Phil, Üstün, Ahmet, Hooker, Sara

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Aya 23: Open Weight Releases to Further Multilingual Progress von Aryabumi, Viraat, Dang, John, Talupuru, Dwarak, Dash, Saurabh, Cairuz, David, Lin, Hangyu, Venkitesh, Bharat, Smith, Madeline, Jon Ander Campos, Tan, Yi Chern, Marchisio, Kelly, Bartolo, Max, Ruder, Sebastian, Locatelli, Acyr, Kreutzer, Julia, Frosst, Nick, Gomez, Aidan, Blunsom, Phil, Fadaee, Marzieh, Üstün, Ahmet, Hooker, Sara

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Low Cost Autonomous Navigation and Control of a Mechanically Balanced Bicycle with Dual Locomotion Mode von Pandey, Ayush, Mahajan, Subhamoy, Kosta, Adarsh, Yadav, Dhananjay, Pandey, Vikas, Sahay, Saurav, Jha, Siddharth, Agarwal, Shubh, Bhise, Aashay, Kumar, Raushan, Bhushan, Aniket, Parikh, Vraj, Lohani, Ankit, Dash, Saurabh, Choudhary, Himanshu, Kumar, Rahul, Sharma, Anurag, Mondal, Arnab, Chendika, Karthik Sai, Vamshi, P N

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ML-based reconfigurable symbol decoder: An alternative for next-generation communication systems von Srivastava, Saurabh, Dash, Prajna Parimita

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