Connor Holmes

37 papers A* 3A 1B 1Journal 29Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Certifiably optimal rotation and pose estimation based on the Cayley map.
Int. J. Robotics Res.
Timothy D. Barfoot, Connor Holmes, Frederike Dümbgen
2025 J jnl
RenAIssance: A Survey Into AI Text-to-Image Generation in the Era of Large Model.
IEEE Trans. Pattern Anal. Mach. Intell.
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
2025 J jnl
SDPRLayers: Certifiable Backpropagation Through Polynomial Optimization Problems in Robotics.
IEEE Trans. Robotics
Connor Holmes, Frederike Dümbgen, Timothy D. Barfoot
2024 A* conf
DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and Routing.
AAAI
Conglong Li, Zhewei Yao, Xiaoxia Wu, Minjia Zhang, Connor Holmes, Cheng Li, Yuxiong He
2024 J jnl
DeepSpeed-FastGen: High-throughput Text Generation for LLMs via MII and DeepSpeed-Inference.
CoRR
Connor Holmes, Masahiro Tanaka, Michael Wyatt, Ammar Ahmad Awan, Jeff Rasley, Samyam Rajbhandari, Reza Yazdani Aminabadi, Heyang Qin, Arash Bakhtiari, Lev Kurilenko, Yuxiong He
2024 J jnl
Exploiting Chordal Sparsity for Fast Global Optimality with Application to Localization.
CoRR
Frederike Dümbgen, Connor Holmes, Timothy D. Barfoot
2024 J jnl
On Semidefinite Relaxations for Matrix-Weighted State-Estimation Problems in Robotics.
IEEE Trans. Robotics
Connor Holmes, Frederike Dümbgen, Timothy D. Barfoot
2024 J jnl
SDPRLayers: Certifiable Backpropagation Through Polynomial Optimization Problems in Robotics.
CoRR
Connor Holmes, Frederike Dümbgen, Timothy D. Barfoot
2024 J jnl
Toward Globally Optimal State Estimation Using Automatically Tightened Semidefinite Relaxations.
IEEE Trans. Robotics
Frederike Dümbgen, Connor Holmes, Ben Agro, Timothy D. Barfoot
2024 A* conf
ZeRO++: Extremely Efficient Collective Communication for Large Model Training.
ICLR
Guanhua Wang, Heyang Qin, Sam Ade Jacobs, Xiaoxia Wu, Connor Holmes, Zhewei Yao, Samyam Rajbhandari, Olatunji Ruwase, Feng Yan, Lei Yang, Yuxiong He
2023 J jnl
An Efficient Global Optimality Certificate for Landmark-Based SLAM.
IEEE Robotics Autom. Lett.
Connor Holmes, Timothy D. Barfoot
2023 J jnl
Certifiably Optimal Rotation and Pose Estimation Based on the Cayley Map.
CoRR
Timothy D. Barfoot, Connor Holmes, Frederike Dümbgen
2023 J jnl
DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales.
CoRR
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
2023 J jnl
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies.
CoRR
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, Michael W. Irvin, J. Gregory Pauloski, Logan T. Ward, Valérie Hayot-Sasson, Murali Emani, Zhen Xie, Diangen Lin, Maulik Shukla, Ian T. Foster, James J. Davis, Michael E. Papka, Thomas S. Brettin, Prasanna Balaprakash, Gina Tourassi, John Gounley, Heidi A. Hanson, Thomas E. Potok, Massimiliano Lupo Pasini, Kate Evans, Dan Lu, Dalton D. Lunga, Junqi Yin, Sajal Dash, Feiyi Wang, Mallikarjun Shankar, Isaac Lyngaas, Xiao Wang, Guojing Cong, Pei Zhang, Ming Fan, Siyan Liu, Adolfy Hoisie, Shinjae Yoo, Yihui Ren, William Tang, Kyle Felker, Alexey Svyatkovskiy, Hang Liu, Ashwin M. Aji, Angela Dalton, Michael J. Schulte, Karl W. Schulz, Yuntian Deng, Weili Nie, Josh Romero, Christian Dallago, Arash Vahdat, Chaowei Xiao, Thomas Gibbs, Anima Anandkumar, Rick Stevens
2023 J jnl
On Semidefinite Relaxations for Matrix-Weighted State-Estimation Problems in Robotics.
CoRR
Connor Holmes, Frederike Dümbgen, Timothy D. Barfoot
2023 J jnl
RenAIssance: A Survey into AI Text-to-Image Generation in the Era of Large Model.
CoRR
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
2023 J jnl
STAR-loc: Dataset for STereo And Range-based localization.
CoRR
Frederike Dümbgen, Mohammed Ayman Shalaby, Connor Holmes, Charles Champagne Cossette, James Richard Forbes, Jerome Le Ny, Timothy D. Barfoot
2023 J jnl
Safe and Smooth: Certified Continuous-Time Range-Only Localization.
IEEE Robotics Autom. Lett.
Frederike Dümbgen, Connor Holmes, Timothy D. Barfoot
2023 J jnl
Toward Globally Optimal State Estimation Using Automatically Tightened Semidefinite Relaxations.
CoRR
Frederike Dümbgen, Connor Holmes, Ben Agro, Timothy D. Barfoot
2023 — conf
Towards Open World NeRF-Based SLAM.
CRV
Daniil Lisus, Connor Holmes, Steven Lake Waslander
2023 J jnl
Towards Open World NeRF-Based SLAM.
CoRR
Daniil Lisus, Connor Holmes
2023 J jnl
ZeRO++: Extremely Efficient Collective Communication for Giant Model Training.
CoRR
Guanhua Wang, Heyang Qin, Sam Ade Jacobs, Connor Holmes, Samyam Rajbhandari, Olatunji Ruwase, Feng Yan, Lei Yang, Yuxiong He
2022 J jnl
A Fine Line: Total Least-Squares Line Fitting as QCQP Optimization.
CoRR
Timothy D. Barfoot, Connor Holmes, Frederike Dümbgen
2022 J jnl
An Efficient Global Optimality Certificate for Landmark-Based SLAM.
CoRR
Connor Holmes, Timothy D. Barfoot
2022 J jnl
Compressing Pre-trained Transformers via Low-Bit NxM Sparsity for Natural Language Understanding.
CoRR
Connor Holmes, Minjia Zhang, Yuxiong He, Bo Wu
2022 — conf
DGSM: A GPU-Based Subgraph Isomorphism framework with DFS exploration.
RSDHA@SC
Wei Han, Connor Holmes, Bo Wu
2022 J jnl
DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and Routing.
CoRR
Conglong Li, Zhewei Yao, Xiaoxia Wu, Minjia Zhang, Connor Holmes, Cheng Li, Yuxiong He
2022 J jnl
Random-LTD: Random and Layerwise Token Dropping Brings Efficient Training for Large-scale Transformers.
CoRR
Zhewei Yao, Xiaoxia Wu, Conglong Li, Connor Holmes, Minjia Zhang, Cheng Li, Yuxiong He
2022 J jnl
Safe and Smooth: Certified Continuous-Time Range-Only Localization.
CoRR
Frederike Dümbgen, Connor Holmes, Timothy D. Barfoot
2021 B conf
Dryadic: Flexible and Fast Graph Pattern Matching at Scale.
PACT
Daniel Mawhirter, Sam Reinehr, Wei Han, Noah Fields, Miles Claver, Connor Holmes, Jedidiah McClurg, Tongping Liu, Bo Wu
2021 — conf
ELIχR: Eliminating Computation Redundancy in CNN-Based Video Processing.
RSDHA@SC
Jordan Schmerge, Daniel Mawhirter, Connor Holmes, Jedidiah McClurg, Bo Wu
2021 J jnl
GraphZero: A High-Performance Subgraph Matching System.
ACM SIGOPS Oper. Syst. Rev.
Daniel Mawhirter, Sam Reinehr, Connor Holmes, Tongping Liu, Bo Wu
2021 A* conf
NxMTransformer: Semi-Structured Sparsification for Natural Language Understanding via ADMM.
NeurIPS
Connor Holmes, Minjia Zhang, Yuxiong He, Bo Wu
2021 J jnl
NxMTransformer: Semi-Structured Sparsification for Natural Language Understanding via ADMM.
CoRR
Connor Holmes, Minjia Zhang, Yuxiong He, Bo Wu
2021 J jnl
Practical Design Considerations for Performance and Robustness in the Face of Uncertain Flexible Dynamics in Space Manipulators.
Frontiers Robotics AI
Connor Holmes
2019 A conf
GRNN: Low-Latency and Scalable RNN Inference on GPUs.
EuroSys
Connor Holmes, Daniel Mawhirter, Yuxiong He, Feng Yan, Bo Wu
2019 J jnl
GraphZero: Breaking Symmetry for Efficient Graph Mining.
CoRR
Daniel Mawhirter, Sam Reinehr, Connor Holmes, Tongping Liu, Bo Wu