Overview of the Neural Network Compression and Representation (NNR) Standard von Kirchhoffer, Heiner, Haase, Paul, Samek, Wojciech, Muller, Karsten, Rezazadegan-Tavakoli, Hamed, Cricri, Francesco, Aksu, Emre B., Hannuksela, Miska M., Jiang, Wei, Wang, Wei, Liu, Shan, Jain, Swayambhoo, Hamidi-Rad, Shahab, Racape, Fabien, Bailer, Werner

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Noisy Matrix Completion Under Sparse Factor Models von Soni, Akshay, Jain, Swayambhoo, Haupt, Jarvis, Gonella, Stefano

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Composition of Experts on the SN40L Reconfigurable Dataflow Unit von Prabhakar, Raghu, Sivaramakrishnan, Ram, Gandhi, Darshan, Du, Yun, Wang, Mingran, Song, Xiangyu, Zhang, Kejie, Gao, Tianren, Wang, Angela, Li, Karen, Brot, Joshua, Leung, Calvin, Zhao, Tuowen, Gottscho, Mark, Chen, Edison, Liang, Kaizhao, Jain, Swayambhoo, Thakker, Urmish, Brown, Kevin J., Olukotun, Kunle

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Backhaul-Constrained Multicell Cooperation Leveraging Sparsity and Spectral Clustering von Jain, Swayambhoo, Kim, Seung-Jun, Giannakis, Georgios B.

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Locating material defects via wavefield demixing with morphologically germane dictionaries von Druce, Jeff, Gonella, Stefano, Kadkhodaie, Mojtaba, Jain, Swayambhoo, Haupt, Jarvis D

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Data-Driven Low-Rank Neural Network Compression von Papadimitriou, Dimitris, Jain, Swayambhoo

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Block CUR: Decomposing Matrices Using Groups of Columns von Oswal, Urvashi, Jain, Swayambhoo, Xu, Kevin S., Eriksson, Brian

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Efficacy of Bayesian Neural Networks in Active Learning von Rakesh, Vineeth, Jain, Swayambhoo

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Constructing Domain-Specific Evaluation Sets for LLM-as-a-judge von Raju, Ravi, Jain, Swayambhoo, Li, Bo, Li, Jonathan, Thakker, Urmish

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Data-Driven Low-Rank Neural Network Compression von Papadimitriou, Dimitris, Jain, Swayambhoo

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Efficacy of Bayesian Neural Networks in Active Learning von Vineeth Rakesh, Jain, Swayambhoo

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LINEAR NEURAL RECONSTRUCTION FOR DEEP NEURAL NETWORK COMPRESSION von JAIN, Swayambhoo, ROBIN, David A.R

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Composition of Experts: A Modular Compound AI System Leveraging Large Language Models von Jain, Swayambhoo, Raju, Ravi, Li, Bo, Csaki, Zoltan, Li, Jonathan, Liang, Kaizhao, Feng, Guoyao, Thakkar, Urmish, Sampat, Anand, Prabhakar, Raghu, Jairath, Sumati

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SYSTEMS AND METHODS FOR ENCODING/DECODING A DEEP NEURAL NETWORK von Jain, Swayambhoo, Racape, Fabien, Hamidi-Rad, Shahab

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SYSTEMS AND METHODS FOR ENCODING/DECODING A DEEP NEURAL NETWORK von Jain, Swayambhoo, Racape, Fabien, Hamidi-Rad, Shahab

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SYSTEMS AND METHODS FOR ENCODING/DECODING A DEEP NEURAL NETWORK von RACAPE, Fabien, HAMIDI-RAD, Shahab, JAIN, Swayambhoo

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SYSTEMS AND METHODS FOR ENCODING/DECODING A DEEP NEURAL NETWORK von RACAPE, Fabien, HAMIDI-RAD, Shahab, JAIN, Swayambhoo

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Minimum Uncertainty Based Detection of Adversaries in Deep Neural Networks von Sheikholeslami, Fatemeh, Jain, Swayambhoo, Giannakis, Georgios B

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SYSTEMS AND METHODS FOR ENCODING A DEEP NEURAL NETWORK von Jain, Swayambhoo, Racape, Fabien, Hamidi-Rad, Shahab

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Learning Generative Models of Structured Signals from Their Superposition Using GANs with Application to Denoising and Demixing von Soltani, Mohammadreza, Jain, Swayambhoo, Sambasivan, Abhinav

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