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Richard G. Baraniuk
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Investigating the Role of Feed-Forward Networks in Transformers Using Parallel Attention and Feed-Forward Net Design


May 25, 2023
Shashank Sonkar, Richard G. Baraniuk

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Deduction under Perturbed Evidence: Probing Student Simulation Capabilities of Large Language Models


May 23, 2023
Shashank Sonkar, Richard G. Baraniuk

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Parallel Attention and Feed-Forward Net Design for Pre-training and Inference on Transformers


May 22, 2023
Shashank Sonkar, Richard G. Baraniuk

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CLASS Meet SPOCK: An Education Tutoring Chatbot based on Learning Science Principles


May 22, 2023
Shashank Sonkar, Lucy Liu, Debshila Basu Mallick, Richard G. Baraniuk

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WIRE: Wavelet Implicit Neural Representations


Jan 05, 2023
Vishwanath Saragadam, Daniel LeJeune, Jasper Tan, Guha Balakrishnan, Ashok Veeraraghavan, Richard G. Baraniuk

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MANER: Mask Augmented Named Entity Recognition for Extreme Low-Resource Languages


Dec 19, 2022
Shashank Sonkar, Zichao Wang, Richard G. Baraniuk

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Foveated Thermal Computational Imaging in the Wild Using All-Silicon Meta-Optics


Dec 13, 2022
Vishwanath Saragadam, Zheyi Han, Vivek Boominathan, Luocheng Huang, Shiyu Tan, Johannes E. Fröch, Karl F. Böhringer, Richard G. Baraniuk, Arka Majumdar, Ashok Veeraraghavan

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Overfreezing Meets Overparameterization: A Double Descent Perspective on Transfer Learning of Deep Neural Networks


Nov 20, 2022
Yehuda Dar, Lorenzo Luzi, Richard G. Baraniuk

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TITAN: Bringing The Deep Image Prior to Implicit Representations


Nov 01, 2022
Daniel LeJeune, Lorenzo Luzi, Ali Siahkoohi, Sina Alemohammad, Vishwanath Saragadam, Hossein Babaei, Naiming Liu, Zichao Wang, Richard G. Baraniuk

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* 6 pages, 4 figures 
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A Visual Tour Of Current Challenges In Multimodal Language Models


Oct 22, 2022
Shashank Sonkar, Naiming Liu, Richard G. Baraniuk

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