Cole Hawkins

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 19

Top Topics

Akaike Information Criterion

Variational Bayesian

Tensor Factorization

Top Venues

SIAM J. Math. Data Sci.

Frontiers Artif. Intell.

Publications

Alec Koppel, Joe Eappen, Sujay Bhatt, Cole Hawkins, Sumitra Ganesh
Online MCMC Thinning with Kernelized Stein Discrepancy. SIAM J. Math. Data Sci. 6 (1) (2024)
Zhanpeng Zeng, Cole Hawkins, Mingyi Hong, Aston Zhang, Nikolaos Pappas, Vikas Singh, Shuai Zheng
Vcc: Scaling Transformers to 128K Tokens or More by Prioritizing Important Tokens. CoRR (2023)
Qingru Zhang, Dhananjay Ram, Cole Hawkins, Sheng Zha, Tuo Zhao
Efficient Long-Range Transformers: You Need to Attend More, but Not Necessarily at Every Layer. EMNLP (Findings) (2023)
Zhanpeng Zeng, Cole Hawkins, Mingyi Hong, Aston Zhang, Nikolaos Pappas, Vikas Singh, Shuai Zheng
VCC: Scaling Transformers to 128K Tokens or More by Prioritizing Important Tokens. NeurIPS (2023)
Qingru Zhang, Dhananjay Ram, Cole Hawkins, Sheng Zha, Tuo Zhao
Efficient Long-Range Transformers: You Need to Attend More, but Not Necessarily at Every Layer. CoRR (2023)
Cole Hawkins, Xing Liu, Zheng Zhang
Towards Compact Neural Networks via End-to-End Training: A Bayesian Tensor Approach with Automatic Rank Determination. SIAM J. Math. Data Sci. 4 (1) (2022)
Cole Hawkins, Alec Koppel, Zheng Zhang
Online, Informative MCMC Thinning with Kernelized Stein Discrepancy. CoRR (2022)
Yao Chen, Cole Hawkins, Kaiqi Zhang, Zheng Zhang, Cong Hao
3U-EdgeAI: Ultra-Low Memory Training, Ultra-Low Bitwidth Quantization, and Ultra-Low Latency Acceleration. ACM Great Lakes Symposium on VLSI (2021)
Cole Hawkins, Zheng Zhang
Bayesian tensorized neural networks with automatic rank selection. Neurocomputing 453 (2021)
Cole Hawkins, Vassilis N. Ioannidis, Soji Adeshina, George Karypis
Scalable Consistency Training for Graph Neural Networks via Self-Ensemble Self-Distillation. CoRR (2021)
Cole Hawkins, Haichuan Yang, Meng Li, Liangzhen Lai, Vikas Chandra
Low-Rank+Sparse Tensor Compression for Neural Networks. CoRR (2021)
Yao Chen, Cole Hawkins, Kaiqi Zhang, Zheng Zhang, Cong Hao
3U-EdgeAI: Ultra-Low Memory Training, Ultra-Low BitwidthQuantization, and Ultra-Low Latency Acceleration. CoRR (2021)
Kaiqi Zhang, Cole Hawkins, Xiyuan Zhang, Cong Hao, Zheng Zhang
On-FPGA Training with Ultra Memory Reduction: A Low-Precision Tensor Method. CoRR (2021)
Kaiqi Zhang, Cole Hawkins, Zheng Zhang
General-Purpose Bayesian Tensor Learning With Automatic Rank Determination and Uncertainty Quantification. Frontiers Artif. Intell. 4 (2021)
Cole Hawkins, Zheng Zhang
End-to-End Variational Bayesian Training of Tensorized Neural Networks with Automatic Rank Determination. CoRR (2020)
Cole Hawkins, Zheng Zhang
Bayesian Tensorized Neural Networks with Automatic Rank Selection. CoRR (2019)
Chunfeng Cui, Cole Hawkins, Zheng Zhang
Tensor Methods for Generating Compact Uncertainty Quantification and Deep Learning Models. ICCAD (2019)
Cole Hawkins, Zheng Zhang
Variational Bayesian Inference for Robust Streaming Tensor Factorization and Completion. CoRR (2018)
Zheng Zhang, Cole Hawkins
Variational Bayesian Inference for Robust Streaming Tensor Factorization and Completion. ICDM (2018)