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Connor Holmes
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Towards Open World NeRF-Based SLAM


Jan 08, 2023
Daniil Lisus, Connor Holmes

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Random-LTD: Random and Layerwise Token Dropping Brings Efficient Training for Large-scale Transformers


Nov 17, 2022
Zhewei Yao, Xiaoxia Wu, Conglong Li, Connor Holmes, Minjia Zhang, Cheng Li, Yuxiong He

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* 22 pages 
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Safe and Smooth: Certified Continuous-Time Range-Only Localization


Sep 09, 2022
Frederike Dümbgen, Connor Holmes, Timothy D. Barfoot

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* 8 pages, 6 figures, submitted to RA-L 
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Compressing Pre-trained Transformers via Low-Bit NxM Sparsity for Natural Language Understanding


Jun 30, 2022
Connor Holmes, Minjia Zhang, Yuxiong He, Bo Wu

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An Efficient Global Optimality Certificate for Landmark-Based SLAM


Jun 26, 2022
Connor Holmes, Timothy D. Barfoot

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* 9 pages, 6 figures 
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A Fine Line: Total Least-Squares Line Fitting as QCQP Optimization


Jun 10, 2022
Timothy D Barfoot, Connor Holmes, Frederike Dumbgen

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* 11 pages, 5 figures 
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NxMTransformer: Semi-Structured Sparsification for Natural Language Understanding via ADMM


Oct 28, 2021
Connor Holmes, Minjia Zhang, Yuxiong He, Bo Wu

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