Jordan Dotzel

Orcid: 0000-0002-4551-9979

According to our database1, Jordan Dotzel authored at least 11 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2024
ShadowLLM: Predictor-based Contextual Sparsity for Large Language Models.
CoRR, 2024

Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs.
CoRR, 2024

Radial Networks: Dynamic Layer Routing for High-Performance Large Language Models.
CoRR, 2024

Exploring the Limits of Semantic Image Compression at Micro-bits per Pixel.
CoRR, 2024

2023
FLIQS: One-Shot Mixed-Precision Floating-Point and Integer Quantization Search.
CoRR, 2023

M4BRAM: Mixed-Precision Matrix-Matrix Multiplication in FPGA Block RAMs.
Proceedings of the International Conference on Field Programmable Technology, 2023

2021
Enabling Design Methodologies and Future Trends for Edge AI: Specialization and Codesign.
IEEE Des. Test, 2021

Enabling Design Methodologies and Future Trends for Edge AI: Specialization and Co-design.
CoRR, 2021


2019
Improving Neural Network Quantization without Retraining using Outlier Channel Splitting.
Proceedings of the 36th International Conference on Machine Learning, 2019

Building Efficient Deep Neural Networks With Unitary Group Convolutions.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019


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