Towards a more general understanding of the algorithmic utility of recurrent connections von Larsen, Brett W, Druckmann, Shaul

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Practical Leverage-Based Sampling for Low-Rank Tensor Decomposition von Larsen, Brett W., Kolda, Tamara G.

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Towards a more general understanding of the algorithmic utility of recurrent connections von Larsen, Brett W., Druckmann, Shaul, Louis, Matthieu

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Towards a more general understanding of the algorithmic utility of recurrent connections von Larsen, Brett W., Druckmann, Shaul, Louis, ed., Matthieu

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Evaluation of Dynamic Cone Penetration Quality for Cohesive Soil Embankment Construction: Pilot Project for New Specification for Quality Control and Quality Assurance von Larsen, Brett W., White, David J., Jahren, Charles T.

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Hardware Implementation of Denoising Algorithms for Nanopore Sensing von Larsen, Brett W., Goryll, Michael, Sattigeri, Prasanna

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Duality of Bures and Shape Distances with Implications for Comparing Neural Representations von Harvey, Sarah E, Larsen, Brett W, Williams, Alex H

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Sketching Matrix Least Squares via Leverage Scores Estimates von Larsen, Brett W, Kolda, Tamara G

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Tensor Decomposition Meets RKHS: Efficient Algorithms for Smooth and Misaligned Data von Larsen, Brett W, Kolda, Tamara G, Zhang, Anru R, Williams, Alex H

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Does your data spark joy? Performance gains from domain upsampling at the end of training von Blakeney, Cody, Paul, Mansheej, Larsen, Brett W, Owen, Sean, Frankle, Jonathan

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Evaluation of Dynamic Cone Penetration Quality for Cohesive Soil Embankment Construction : Pilot Project for New Specification for Quality Control and Quality Assurance: Constructi... von LARSEN, Brett W, WHITE, David J, JAHREN, Charles T

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Practical Leverage-Based Sampling for Low-Rank Tensor Decomposition von Larsen, Brett W, Kolda, Tamara G

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Estimating Shape Distances on Neural Representations with Limited Samples von Pospisil, Dean A, Larsen, Brett W, Harvey, Sarah E, Williams, Alex H

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Avoiding Spurious Local Minima in Deep Quadratic Networks von Kazemipour, Abbas, Larsen, Brett W, Druckmann, Shaul

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How many degrees of freedom do we need to train deep networks: a loss landscape perspective von Larsen, Brett W, Fort, Stanislav, Becker, Nic, Ganguli, Surya

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Unmasking the Lottery Ticket Hypothesis: What's Encoded in a Winning Ticket's Mask? von Paul, Mansheej, Chen, Feng, Larsen, Brett W, Frankle, Jonathan, Ganguli, Surya, Dziugaite, Gintare Karolina

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Lottery Tickets on a Data Diet: Finding Initializations with Sparse Trainable Networks von Paul, Mansheej, Larsen, Brett W, Ganguli, Surya, Frankle, Jonathan, Dziugaite, Gintare Karolina

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Duality of Bures and Shape Distances with Implications for Comparing Neural Representations von Harvey, Sarah E, Larsen, Brett W, Williams, Alex H

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Sketching Matrix Least Squares via Leverage Scores Estimates von Larsen, Brett W, Kolda, Tamara G

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Practical Leverage-Based Sampling for Low-Rank Tensor Decomposition von Larsen, Brett W, Kolda, Tamara G

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