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David Gregg

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Papers (16)

  1. Bayesian-LoRA: Probabilistic Low-Rank Adaptation of Large Language Models cs.AI · 2026 · author #4
  2. Winograd Convolution for DNNs: Beyond linear polynomials cs.LG · 2019 · author #2
  3. Error Analysis and Improving the Accuracy of Winograd Convolution for Deep Neural Networks cs.NA · 2018 · author #4
  4. Low Complexity Multiply-Accumulate Units for Convolutional Neural Networks with Weight-Sharing cs.AR · 2018 · author #2
  5. Optimal DNN Primitive Selection with Partitioned Boolean Quadratic Programming cs.PF · 2017 · author #2
  6. Low-memory GEMM-based convolution algorithms for deep neural networks cs.CV · 2017 · author #4
  7. Parallel Multi Channel Convolution using General Matrix Multiplication cs.CV · 2017 · author #3
  8. Mutual Inclusivity of the Critical Path and its Partial Schedule on Heterogeneous Systems cs.DC · 2017 · author #2
  9. Spectral Convolution Networks cs.LG · 2016 · author #3
  10. Low Complexity Multiply Accumulate Unit for Weight-Sharing Convolutional Neural Networks cs.NE · 2016 · author #2
  11. Customizable Precision of Floating-Point Arithmetic with Bitslice Vector Types cs.OH · 2016 · author #2
  12. Vectorization of Multibyte Floating Point Data Formats cs.MS · 2016 · author #2
  13. Practical Algorithms for Finding Extremal Sets cs.DS · 2015 · author #3
  14. On the GI-Completeness of a Sorting Networks Isomorphism cs.CC · 2015 · author #2
  15. Sorting Networks: The Final Countdown cs.DM · 2015 · author #2
  16. The Takeoff Towards Optimal Sorting Networks cs.DS · 2015 · author #2

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