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EnsembleCI: Ensemble Learning for Carbon Intensity Forecasting
4 May 2025
Leyi Yan
Linda Wang
Sihang Liu
Yi Ding
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Papers citing
"EnsembleCI: Ensemble Learning for Carbon Intensity Forecasting"
11 / 11 papers shown
Title
Towards Sustainable Large Language Model Serving
Sophia Nguyen
Beihao Zhou
Yi Ding
Sihang Liu
226
10
0
31 Dec 2024
GreenLLM: Disaggregating Large Language Model Serving on Heterogeneous GPUs for Lower Carbon Emissions
Tianyao Shi
Yanran Wu
Sihang Liu
Yi Ding
54
5
0
29 Dec 2024
Uncertainty-Aware Decarbonization for Datacenters
Amy Li
Sihang Liu
Yi Ding
116
6
0
02 Jul 2024
CASPER: Carbon-Aware Scheduling and Provisioning for Distributed Web Services
Abel Souza
Shruti Jasoria
Basundhara Chakrabarty
Alexander Bridgwater
Axel Lundberg
Filip Skogh
Ahmed Ali-Eldin
David Irwin
Prashant J. Shenoy
98
14
0
21 Mar 2024
LLMCarbon: Modeling the end-to-end Carbon Footprint of Large Language Models
Ahmad Faiz
S. Kaneda
Ruhan Wang
Rita Osi
Parteek Sharma
Fan Chen
Lei Jiang
82
66
0
25 Sep 2023
CarbonScaler: Leveraging Cloud Workload Elasticity for Optimizing Carbon-Efficiency
Walid A. Hanafy
Qianlin Liang
Noman Bashir
David Irwin
Prashant J. Shenoy
77
52
0
17 Feb 2023
Carbon Explorer: A Holistic Approach for Designing Carbon Aware Datacenters
Bilge Acun
Benjamin C. Lee
Fiodar Kazhamiaka
Kiwan Maeng
Manoj Chakkaravarthy
Udit Gupta
David Brooks
Carole-Jean Wu
62
113
0
25 Jan 2022
AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data
Nick Erickson
Jonas W. Mueller
Alexander Shirkov
Hang Zhang
Pedro Larroy
Mu Li
Alex Smola
LMTD
225
635
0
13 Mar 2020
fastai: A Layered API for Deep Learning
Jeremy Howard
Sylvain Gugger
AI4CE
135
873
0
11 Feb 2020
CatBoost: gradient boosting with categorical features support
Anna Veronika Dorogush
Vasily Ershov
Andrey Gulin
180
1,349
0
24 Oct 2018
XGBoost: A Scalable Tree Boosting System
Tianqi Chen
Carlos Guestrin
837
39,664
0
09 Mar 2016
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