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Connor Holmes
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2020 – today
- 2024
- [j6]Frederike Dümbgen
, Connor Holmes
Toward Globally Optimal State Estimation Using Automatically Tightened Semidefinite Relaxations. IEEE Trans. Robotics 40: 4338-4358 (2024) - [j5]Connor Holmes
On Semidefinite Relaxations for Matrix-Weighted State-Estimation Problems in Robotics. IEEE Trans. Robotics 40: 4805-4824 (2024) - [c8]Conglong Li, Zhewei Yao, Xiaoxia Wu, Minjia Zhang, Connor Holmes, Cheng Li, Yuxiong He:
DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and Routing. AAAI 2024: 18490-18498 - [c7]Guanhua Wang, Heyang Qin, Sam Ade Jacobs, Xiaoxia Wu, Connor Holmes, Zhewei Yao, Samyam Rajbhandari, Olatunji Ruwase, Feng Yan, Lei Yang, Yuxiong He:
ZeRO++: Extremely Efficient Collective Communication for Large Model Training. ICLR 2024 - [i19]Connor Holmes, Masahiro Tanaka, Michael Wyatt, Ammar Ahmad Awan, Jeff Rasley, Samyam Rajbhandari, Reza Yazdani Aminabadi, Heyang Qin, Arash Bakhtiari, Lev Kurilenko, Yuxiong He:
DeepSpeed-FastGen: High-throughput Text Generation for LLMs via MII and DeepSpeed-Inference. CoRR abs/2401.08671 (2024) - [i18]Connor Holmes, Frederike Dümbgen, Timothy D. Barfoot:
SDPRLayers: Certifiable Backpropagation Through Polynomial Optimization Problems in Robotics. CoRR abs/2405.19309 (2024) - [i17]Frederike Dümbgen, Connor Holmes, Timothy D. Barfoot:
Exploiting Chordal Sparsity for Fast Global Optimality with Application to Localization. CoRR abs/2406.02365 (2024) - 2023
- [j4]Frederike Dümbgen
Safe and Smooth: Certified Continuous-Time Range-Only Localization. IEEE Robotics Autom. Lett. 8(2): 1117-1124 (2023) - [j3]Connor Holmes
An Efficient Global Optimality Certificate for Landmark-Based SLAM. IEEE Robotics Autom. Lett. 8(3): 1539-1546 (2023) - [c6]Daniil Lisus
Towards Open World NeRF-Based SLAM. CRV 2023: 37-44 - [i16]Daniil Lisus, Connor Holmes:
Towards Open World NeRF-Based SLAM. CoRR abs/2301.03102 (2023) - [i15]Guanhua Wang, Heyang Qin, Sam Ade Jacobs, Connor Holmes, Samyam Rajbhandari, Olatunji Ruwase, Feng Yan, Lei Yang, Yuxiong He:
ZeRO++: Extremely Efficient Collective Communication for Giant Model Training. CoRR abs/2306.10209 (2023) - [i14]Zhewei Yao, Reza Yazdani Aminabadi, Olatunji Ruwase, Samyam Rajbhandari, Xiaoxia Wu, Ammar Ahmad Awan, Jeff Rasley, Minjia Zhang, Conglong Li, Connor Holmes, Zhongzhu Zhou, Michael Wyatt, Molly Smith, Lev Kurilenko, Heyang Qin, Masahiro Tanaka, Shuai Che, Shuaiwen Leon Song, Yuxiong He:
DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales. CoRR abs/2308.01320 (2023) - [i13]Frederike Dümbgen, Connor Holmes, Ben Agro, Timothy D. Barfoot:
Toward Globally Optimal State Estimation Using Automatically Tightened Semidefinite Relaxations. CoRR abs/2308.05783 (2023) - [i12]Connor Holmes, Frederike Dümbgen, Timothy D. Barfoot:
On Semidefinite Relaxations for Matrix-Weighted State-Estimation Problems in Robotics. CoRR abs/2308.07275 (2023) - [i11]Timothy D. Barfoot, Connor Holmes, Frederike Dümbgen:
Certifiably Optimal Rotation and Pose Estimation Based on the Cayley Map. CoRR abs/2308.12418 (2023) - [i10]Fengxiang Bie, Yibo Yang, Zhongzhu Zhou, Adam Ghanem, Minjia Zhang, Zhewei Yao, Xiaoxia Wu, Connor Holmes, Pareesa Ameneh Golnari, David A. Clifton, Yuxiong He, Dacheng Tao, Shuaiwen Leon Song:
RenAIssance: A Survey into AI Text-to-Image Generation in the Era of Large Model. CoRR abs/2309.00810 (2023) - [i9]Frederike Dümbgen, Mohammed Ayman Shalaby, Connor Holmes, Charles Champagne Cossette, James Richard Forbes, Jerome Le Ny, Timothy D. Barfoot:
STAR-loc: Dataset for STereo And Range-based localization. CoRR abs/2309.05518 (2023) - [i8]Shuaiwen Leon Song, Bonnie Kruft, Minjia Zhang, Conglong Li, Shiyang Chen, Chengming Zhang, Masahiro Tanaka, Xiaoxia Wu, Jeff Rasley, Ammar Ahmad Awan, Connor Holmes, Martin Cai, Adam Ghanem, Zhongzhu Zhou, Yuxiong He, Pete Luferenko, Divya Kumar, Jonathan A. Weyn, Ruixiong Zhang, Sylwester Klocek, Volodymyr Vragov, Mohammed AlQuraishi, Gustaf Ahdritz, Christina Floristean, Cristina Negri, Rao Kotamarthi, Venkatram Vishwanath, Arvind Ramanathan, Sam Foreman, Kyle Hippe, Troy Arcomano, Romit Maulik, Maxim Zvyagin, Alexander Brace, Bin Zhang, Cindy Orozco Bohorquez, Austin Clyde, Bharat Kale, Danilo Perez-Rivera, Heng Ma, Carla M. Mann
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies. CoRR abs/2310.04610 (2023) - 2022
- [c5]Wei Han, Connor Holmes, Bo Wu:
DGSM: A GPU-Based Subgraph Isomorphism framework with DFS exploration. RSDHA@SC 2022: 1-11 - [i7]Timothy D. Barfoot, Connor Holmes, Frederike Dümbgen:
A Fine Line: Total Least-Squares Line Fitting as QCQP Optimization. CoRR abs/2206.05082 (2022) - [i6]Connor Holmes, Timothy D. Barfoot:
An Efficient Global Optimality Certificate for Landmark-Based SLAM. CoRR abs/2206.12961 (2022) - [i5]Connor Holmes, Minjia Zhang, Yuxiong He, Bo Wu:
Compressing Pre-trained Transformers via Low-Bit NxM Sparsity for Natural Language Understanding. CoRR abs/2206.15014 (2022) - [i4]Frederike Dümbgen, Connor Holmes, Timothy D. Barfoot:
Safe and Smooth: Certified Continuous-Time Range-Only Localization. CoRR abs/2209.04266 (2022) - [i3]Zhewei Yao, Xiaoxia Wu, Conglong Li, Connor Holmes, Minjia Zhang, Cheng Li, Yuxiong He:
Random-LTD: Random and Layerwise Token Dropping Brings Efficient Training for Large-scale Transformers. CoRR abs/2211.11586 (2022) - 2021
- [j2]Connor Holmes:
Practical Design Considerations for Performance and Robustness in the Face of Uncertain Flexible Dynamics in Space Manipulators. Frontiers Robotics AI 8: 708388 (2021) - [j1]Daniel Mawhirter, Sam Reinehr, Connor Holmes, Tongping Liu, Bo Wu:
GraphZero: A High-Performance Subgraph Matching System. ACM SIGOPS Oper. Syst. Rev. 55(1): 21-37 (2021) - [c4]Daniel Mawhirter, Sam Reinehr, Wei Han, Noah Fields, Miles Claver, Connor Holmes, Jedidiah McClurg, Tongping Liu, Bo Wu:
Dryadic: Flexible and Fast Graph Pattern Matching at Scale. PACT 2021: 289-303 - [c3]Connor Holmes, Minjia Zhang, Yuxiong He, Bo Wu:
NxMTransformer: Semi-Structured Sparsification for Natural Language Understanding via ADMM. NeurIPS 2021: 1818-1830 - [c2]Jordan Schmerge, Daniel Mawhirter, Connor Holmes, Jedidiah McClurg, Bo Wu:
ELIχR: Eliminating Computation Redundancy in CNN-Based Video Processing. RSDHA@SC 2021: 34-44 - [i2]Connor Holmes, Minjia Zhang, Yuxiong He, Bo Wu:
NxMTransformer: Semi-Structured Sparsification for Natural Language Understanding via ADMM. CoRR abs/2110.15766 (2021)
2010 – 2019
- 2019
- [c1]Connor Holmes, Daniel Mawhirter, Yuxiong He, Feng Yan, Bo Wu:
GRNN: Low-Latency and Scalable RNN Inference on GPUs. EuroSys 2019: 41:1-41:16 - [i1]Daniel Mawhirter, Sam Reinehr, Connor Holmes, Tongping Liu, Bo Wu:
GraphZero: Breaking Symmetry for Efficient Graph Mining. CoRR abs/1911.12877 (2019)
Coauthor Index
aka: Timothy D. Barfoot
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last updated on 2024-11-07 21:28 CET by the dblp team
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