Drew Penney

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 9

Top Topics

Connectionist Networks

Reinforcement Learning

Top Venues

Future Gener. Comput. Syst.

Publications

Matthew Raffel, Drew Penney, Lizhong Chen
Shiftable Context: Addressing Training-Inference Context Mismatch in Simultaneous Speech Translation. ICML (2023)
Drew Penney, Bin Li, Jaroslaw J. Sydir, Lizhong Chen, Charlie Tai, Stefan Lee, Eoin Walsh, Thomas Long
PROMPT: Learning dynamic resource allocation policies for network applications. Future Gener. Comput. Syst. 145 (2023)
Drew Penney, Bin Li, Lizhong Chen, Jaroslaw J. Sydir, Anna Drewek-Ossowicka, Ramesh Illikkal, Charlie Tai, Ravi R. Iyer, Andrew Herdrich
RAPID: Enabling Fast Online Policy Learning in Dynamic Public Cloud Environments. CoRR (2023)
Drew Penney, Bin Li, Lizhong Chen, Jaroslaw J. Sydir, Anna Drewek-Ossowicka, Ramesh Illikkal, Charlie Tai, Ravi R. Iyer, Andrew Herdrich
RAPID: Enabling fast online policy learning in dynamic public cloud environments. Neurocomputing 558 (2023)
Matthew Raffel, Drew Penney, Lizhong Chen
Shiftable Context: Addressing Training-Inference Context Mismatch in Simultaneous Speech Translation. CoRR (2023)
Drew Penney, Bin Li, Jaroslaw Sydir, Charlie Tai, Eoin Walsh, Thomas Long, Stefan Lee, Lizhong Chen
PROMPT: Learning Dynamic Resource Allocation Policies for Edge-Network Applications. CoRR (2022)
Ting-Ru Lin, Drew Penney, Massoud Pedram, Lizhong Chen
A Deep Reinforcement Learning Framework for Architectural Exploration: A Routerless NoC Case Study. HPCA (2020)
Yunfan Li, Drew Penney, Abhishek Ramamurthy, Lizhong Chen
Characterizing On-Chip Traffic Patterns in General-Purpose GPUs: A Deep Learning Approach. ICCD (2019)
Ting-Ru Lin, Drew Penney, Massoud Pedram, Lizhong Chen
Optimizing Routerless Network-on-Chip Designs: An Innovative Learning-Based Framework. CoRR (2019)