Timothy Zeyl

According to our database, Timothy Zeyl authored at least 7 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

SutraNets: Sub-series Autoregressive Networks for Long-Sequence, Probabilistic Forecasting.

Shane Bergsma, Timothy Zeyl, Lei Guo

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Multi-Agent Deep Reinforcement Learning for Cooperative Edge Caching via Hybrid Communication.

Fei Wang, Salma Emara, Isidor Kaplan, Baochun Li, Timothy Zeyl

Proceedings of the IEEE International Conference on Communications, 2023

2022

Pareto: Fair Congestion Control With Online Reinforcement Learning.

Salma Emara, Fei Wang, Baochun Li, Timothy Zeyl

IEEE Trans. Netw. Sci. Eng., 2022

C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting.

Shane Bergsma, Timothy Zeyl, Javad Rahimipour Anaraki, Lei Guo

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

FedRL: Improving the Performance of Federated Learning with Non-IID Data.

Yufei Kang, Baochun Li, Timothy Zeyl

Proceedings of the IEEE Global Communications Conference, 2022

2021

Generating Complex, Realistic Cloud Workloads using Recurrent Neural Networks.

Shane Bergsma, Timothy Zeyl, Arik Senderovich, J. Christopher Beck

Proceedings of the SOSP '21: ACM SIGOPS 28th Symposium on Operating Systems Principles, 2021

2019

Minimum Makespan Workflow Scheduling for Malleable Jobs with Precedence Constraints and Lifetime Resource Demands.

Chen Chen, Xiaodi Ke, Timothy Zeyl, Kaixiang Du, Sam Sanjabi, Shane Bergsma, Reza Pournaghi, Chong Chen

Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019