Timothy Zeyl

Publication Activity (10 Years)

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

Top Topics

Stationary Wavelet Transform

Reinforcement Learning

Top Venues

Publications

Shane Bergsma, Timothy Zeyl, Lei Guo
SutraNets: Sub-series Autoregressive Networks for Long-Sequence, Probabilistic Forecasting. NeurIPS (2023)
Shane Bergsma, Timothy Zeyl, Lei Guo
SutraNets: Sub-series Autoregressive Networks for Long-Sequence, Probabilistic Forecasting. CoRR (2023)
Fei Wang, Salma Emara, Isidor Kaplan, Baochun Li, Timothy Zeyl
Multi-Agent Deep Reinforcement Learning for Cooperative Edge Caching via Hybrid Communication. ICC (2023)
Shane Bergsma, Timothy Zeyl, Javad Rahimipour Anaraki, Lei Guo
C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting. CoRR (2023)
Shane Bergsma, Timothy Zeyl, Javad Rahimipour Anaraki, Lei Guo
C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic Forecasting. NeurIPS (2022)
Yufei Kang, Baochun Li, Timothy Zeyl
FedRL: Improving the Performance of Federated Learning with Non-IID Data. GLOBECOM (2022)
Salma Emara, Fei Wang, Baochun Li, Timothy Zeyl
Pareto: Fair Congestion Control With Online Reinforcement Learning. IEEE Trans. Netw. Sci. Eng. 9 (5) (2022)
Shane Bergsma, Timothy Zeyl, Arik Senderovich, J. Christopher Beck
Generating Complex, Realistic Cloud Workloads using Recurrent Neural Networks. SOSP (2021)
Chen Chen, Xiaodi Ke, Timothy Zeyl, Kaixiang Du, Sam Sanjabi, Shane Bergsma, Reza Pournaghi, Chong Chen
Minimum Makespan Workflow Scheduling for Malleable Jobs with Precedence Constraints and Lifetime Resource Demands. ICDCS (2019)