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Ray: A Distributed Framework for Emerging AI Applications
v1v2 (latest)

Ray: A Distributed Framework for Emerging AI Applications

16 December 2017
Philipp Moritz
Robert Nishihara
Stephanie Wang
Alexey Tumanov
Richard Liaw
Eric Liang
Melih Elibol
Zongheng Yang
William Paul
Michael I. Jordan
Ion Stoica
    GNN
ArXiv (abs)PDFHTML

Papers citing "Ray: A Distributed Framework for Emerging AI Applications"

50 / 495 papers shown
Title
Fast Distributed Inference Serving for Large Language Models
Fast Distributed Inference Serving for Large Language Models
Bingyang Wu
Yinmin Zhong
Zili Zhang
Gang Huang
Xuanzhe Liu
Xin Jin
88
102
0
10 May 2023
Latent Dynamics Networks (LDNets): learning the intrinsic dynamics of
  spatio-temporal processes
Latent Dynamics Networks (LDNets): learning the intrinsic dynamics of spatio-temporal processes
Francesco Regazzoni
S. Pagani
M. Salvador
Luca Dede'
A. Quarteroni
AI4CE
55
7
0
28 Apr 2023
Zero-shot Transfer Learning of Driving Policy via Socially Adversarial
  Traffic Flow
Zero-shot Transfer Learning of Driving Policy via Socially Adversarial Traffic Flow
Dongkun Zhang
Jintao Xue
Yuxiang Cui
Yunkai Wang
Eryun Liu
Wei Jing
Junbo Chen
R. Xiong
Yue Wang
87
0
0
25 Apr 2023
Cooperative Coevolution for Non-Separable Large-Scale Black-Box
  Optimization: Convergence Analyses and Distributed Accelerations
Cooperative Coevolution for Non-Separable Large-Scale Black-Box Optimization: Convergence Analyses and Distributed Accelerations
Qiqi Duan
Chang Shao
Guochen Zhou
Hao Yang
Qi Zhao
Yuhui Shi
49
4
0
11 Apr 2023
On Efficient Training of Large-Scale Deep Learning Models: A Literature
  Review
On Efficient Training of Large-Scale Deep Learning Models: A Literature Review
Li Shen
Yan Sun
Zhiyuan Yu
Liang Ding
Xinmei Tian
Dacheng Tao
VLM
105
43
0
07 Apr 2023
Neural networks trained on synthetically generated crystals can extract
  structural information from ICSD powder X-ray diffractograms
Neural networks trained on synthetically generated crystals can extract structural information from ICSD powder X-ray diffractograms
Henrik Schopmans
Patrick Reiser
Pascal Friederich
16
2
0
21 Mar 2023
Emotional Reaction Intensity Estimation Based on Multimodal Data
Emotional Reaction Intensity Estimation Based on Multimodal Data
Shangfei Wang
Jiaqiang Wu
Feiyi Zheng
Xin Li
Xuewei Li
Su-ge Wang
Yi Wu
Yanan Chang
Xiangyu Miao
77
3
0
16 Mar 2023
SVDE: Scalable Value-Decomposition Exploration for Cooperative
  Multi-Agent Reinforcement Learning
SVDE: Scalable Value-Decomposition Exploration for Cooperative Multi-Agent Reinforcement Learning
Shuhan Qi
Shuhao Zhang
Qiang-qiang Wang
Jia-jia Zhang
Jing Xiao
Xinyu Wang
91
0
0
16 Mar 2023
Cloud Services Enable Efficient AI-Guided Simulation Workflows across
  Heterogeneous Resources
Cloud Services Enable Efficient AI-Guided Simulation Workflows across Heterogeneous Resources
Logan T. Ward
J. G. Pauloski
Valérie Hayot-Sasson
Ryan Chard
Y. Babuji
Ganesh Sivaraman
Sutanay Choudhury
Kyle Chard
R. Thakur
Ian Foster
67
9
0
15 Mar 2023
Graph Neural Network contextual embedding for Deep Learning on Tabular
  Data
Graph Neural Network contextual embedding for Deep Learning on Tabular Data
Mario Villaizán-Vallelado
Matteo Salvatori
B. Carro
Antonio J. Sánchez-Esguevillas
AI4CELMTD
55
16
0
11 Mar 2023
Learned Parameter Selection for Robotic Information Gathering
Learned Parameter Selection for Robotic Information Gathering
Chris Denniston
G. Salhotra
Akseli Kangaslahti
D. Caron
Gaurav Sukhatme
68
3
0
09 Mar 2023
MCTS-GEB: Monte Carlo Tree Search is a Good E-graph Builder
MCTS-GEB: Monte Carlo Tree Search is a Good E-graph Builder
Guoliang He
Zak Singh
Eiko Yoneki
100
5
0
08 Mar 2023
Learning the Finer Things: Bayesian Structure Learning at the
  Instantiation Level
Learning the Finer Things: Bayesian Structure Learning at the Instantiation Level
Chase Yakaboski
E. Santos
52
2
0
08 Mar 2023
CoRL: Environment Creation and Management Focused on System Integration
CoRL: Environment Creation and Management Focused on System Integration
J. D. Merrick
Benjamin K. Heiner
Cameron Long
Brian Stieber
Steve Fierro
Vardaan Gangal
Madison Blake
Joshua Blackburn
AI4CE
69
2
0
03 Mar 2023
EdgeServe: A Streaming System for Decentralized Model Serving
EdgeServe: A Streaming System for Decentralized Model Serving
Ted Shaowang
Sanjay Krishnan
32
1
0
02 Mar 2023
A Unified Momentum-based Paradigm of Decentralized SGD for Non-Convex
  Models and Heterogeneous Data
A Unified Momentum-based Paradigm of Decentralized SGD for Non-Convex Models and Heterogeneous Data
Haizhou Du
Chengdong Ni
33
1
0
01 Mar 2023
Policy Dispersion in Non-Markovian Environment
B. Qu
Xiaofeng Cao
Jielong Yang
Hechang Chen
Chang Yi
Ivor W.Tsang
Yew-Soon Ong
56
0
0
28 Feb 2023
AutoML for neuromorphic computing and application-driven co-design:
  asynchronous, massively parallel optimization of spiking architectures
AutoML for neuromorphic computing and application-driven co-design: asynchronous, massively parallel optimization of spiking architectures
A. Yanguas-Gil
Sandeep Madireddy
46
3
0
26 Feb 2023
FLINT: A Platform for Federated Learning Integration
FLINT: A Platform for Federated Learning Integration
Ewen N. Wang
Ajaykumar Kannan
Yuefeng Liang
Boyi Chen
Mosharaf Chowdhury
102
24
0
24 Feb 2023
EvoTorch: Scalable Evolutionary Computation in Python
EvoTorch: Scalable Evolutionary Computation in Python
N. E. Toklu
Timothy James Atkinson
Vojtvech Micka
Paweł Liskowski
R. Srivastava
85
14
0
24 Feb 2023
Faabric: Fine-Grained Distribution of Scientific Workloads in the Cloud
Faabric: Fine-Grained Distribution of Scientific Workloads in the Cloud
Simon Shillaker
Carlos Segarra
Eleftheria Mappoura
Mayeul Fournial
Lluís Vilanova
Peter R. Pietzuch
110
6
0
22 Feb 2023
pykanto: a python library to accelerate research on wild bird song
pykanto: a python library to accelerate research on wild bird song
Nilo Merino Recalde
49
8
0
20 Feb 2023
SWIFT: Expedited Failure Recovery for Large-scale DNN Training
SWIFT: Expedited Failure Recovery for Large-scale DNN Training
Keon Jang
Hassan M. G. Wassel
Behnam Montazeri
Michael Ryan
David Wetherall
56
8
0
13 Feb 2023
Mithridates: Auditing and Boosting Backdoor Resistance of Machine
  Learning Pipelines
Mithridates: Auditing and Boosting Backdoor Resistance of Machine Learning Pipelines
Eugene Bagdasaryan
Vitaly Shmatikov
AAML
92
2
0
09 Feb 2023
Zeno: An Interactive Framework for Behavioral Evaluation of Machine
  Learning
Zeno: An Interactive Framework for Behavioral Evaluation of Machine Learning
Ángel Alexander Cabrera
Erica Fu
Donald Bertucci
Kenneth Holstein
Ameet Talwalkar
Jason I. Hong
Adam Perer
100
49
0
09 Feb 2023
RayNet: A Simulation Platform for Developing Reinforcement
  Learning-Driven Network Protocols
RayNet: A Simulation Platform for Developing Reinforcement Learning-Driven Network Protocols
Luca Giacomoni
Basil Benny
G. Parisis
68
3
0
09 Feb 2023
Landscape of High-performance Python to Develop Data Science and Machine
  Learning Applications
Landscape of High-performance Python to Develop Data Science and Machine Learning Applications
Oscar Castro
P. Bruneau
Jean-Sébastien Sottet
D. Torregrossa
54
10
0
07 Feb 2023
Distributed Swarm Intelligence
Distributed Swarm Intelligence
Karthik Reddy Kanjula
Sai Meghana Kolla
18
0
0
30 Jan 2023
EvoX: A Distributed GPU-accelerated Framework for Scalable Evolutionary
  Computation
EvoX: A Distributed GPU-accelerated Framework for Scalable Evolutionary Computation
Beichen Huang
Ran Cheng
Zhuozhao Li
Yaochu Jin
Kay Chen Tan
182
28
0
29 Jan 2023
ARiADNE: A Reinforcement learning approach using Attention-based Deep
  Networks for Exploration
ARiADNE: A Reinforcement learning approach using Attention-based Deep Networks for Exploration
Yuhong Cao
Tianxiang Hou
Yizhuo Wang
Xian Yi
Guillaume Sartoretti
83
30
0
27 Jan 2023
Salesforce CausalAI Library: A Fast and Scalable Framework for Causal
  Analysis of Time Series and Tabular Data
Salesforce CausalAI Library: A Fast and Scalable Framework for Causal Analysis of Time Series and Tabular Data
Devansh Arpit
M. Fernández
Itai Feigenbaum
Weiran Yao
Chenghao Liu
...
Haiquan Wang
Stephen Hoi
Caiming Xiong
Kun Zhang
Juan Carlos Niebles
CML
46
1
0
25 Jan 2023
Improvement of Computational Performance of Evolutionary AutoML in a
  Heterogeneous Environment
Improvement of Computational Performance of Evolutionary AutoML in a Heterogeneous Environment
Nikolay O. Nikitin
Sergey Teryoshkin
Valerii Pokrovskii
Sergey Pakulin
D. Nasonov
96
1
0
12 Jan 2023
High-Performance Deterministic Concurrency using Lingua Franca
High-Performance Deterministic Concurrency using Lingua Franca
Christian Menard
Marten Lohstroh
Soroush Bateni
Matthew Chorlian
Arthur Deng
...
Felix Suchert
Tassilo Tanneberger
Hokeun Kim
J. Castrillón
Edward A. Lee
13
19
0
06 Jan 2023
Privacy and Efficiency of Communications in Federated Split Learning
Privacy and Efficiency of Communications in Federated Split Learning
Zongshun Zhang
Andrea Pinto
Valeria Turina
Flavio Esposito
I. Matta
FedML
93
35
0
04 Jan 2023
Online learning techniques for prediction of temporal tabular datasets
  with regime changes
Online learning techniques for prediction of temporal tabular datasets with regime changes
Thomas Wong
Mauricio Barahona
OODAI4TS
77
1
0
30 Dec 2022
Towards dynamic stability analysis of sustainable power grids using
  graph neural networks
Towards dynamic stability analysis of sustainable power grids using graph neural networks
Christian Nauck
M. Lindner
Konstantin Schurholt
Frank Hellmann
46
3
0
21 Dec 2022
Anticipatory Fictitious Play
Anticipatory Fictitious Play
Alex Cloud
Albert Wang
W. Kerr
39
1
0
20 Dec 2022
Kernel-as-a-Service: A Serverless Interface to GPUs
Kernel-as-a-Service: A Serverless Interface to GPUs
Nathan Pemberton
Anton Zabreyko
Zhoujie Ding
R. Katz
Joseph E. Gonzalez
61
9
0
15 Dec 2022
Optimal Planning of Hybrid Energy Storage Systems using Curtailed
  Renewable Energy through Deep Reinforcement Learning
Optimal Planning of Hybrid Energy Storage Systems using Curtailed Renewable Energy through Deep Reinforcement Learning
Dongju Kang
Doeun Kang
Sumin Hwangbo
Haider Niaz
Won Bo Lee
J. J. Liu
Jonggeol Na
34
32
0
12 Dec 2022
PyPop7: A Pure-Python Library for Population-Based Black-Box
  Optimization
PyPop7: A Pure-Python Library for Population-Based Black-Box Optimization
Qiqi Duan
Guochen Zhou
Chang Shao
Zhuowei Wang
Mingyang Feng
Yuwei Huang
Yajing Tan
Yijun Yang
Qi Zhao
Yuhui Shi
120
6
0
12 Dec 2022
Curiosity creates Diversity in Policy Search
Curiosity creates Diversity in Policy Search
Paul-Antoine Le Tolguenec
Emmanuel Rachelson
Yann Besse
Dennis G. Wilson
65
2
0
07 Dec 2022
Efficient Learning of Voltage Control Strategies via Model-based Deep
  Reinforcement Learning
Efficient Learning of Voltage Control Strategies via Model-based Deep Reinforcement Learning
Ramij-Raja Hossain
Tianzhixi Yin
Yan Du
Renke Huang
Jie Tan
Wenhao Yu
Yuan Liu
Qiuhua Huang
59
0
0
06 Dec 2022
FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model
  Extraction
FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction
Samiul Alam
Luyang Liu
Ming Yan
Mi Zhang
182
155
0
03 Dec 2022
Distributed Deep Reinforcement Learning: A Survey and A Multi-Player
  Multi-Agent Learning Toolbox
Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox
Qiyue Yin
Tongtong Yu
S. Shen
Jun Yang
Meijing Zhao
Kaiqi Huang
Bin Liang
Liangsheng Wang
OffRL
74
13
0
01 Dec 2022
Biomedical NER for the Enterprise with Distillated BERN2 and the Kazu
  Framework
Biomedical NER for the Enterprise with Distillated BERN2 and the Kazu Framework
Wonjin Yoon
Richard Jackson
Elliot Ford
V. Poroshin
Jaewoo Kang
54
4
0
01 Dec 2022
Using uncertainty-aware machine learning models to study aerosol-cloud
  interactions
Using uncertainty-aware machine learning models to study aerosol-cloud interactions
Maelys Solal
Andrew Jesson
Y. Gal
A. Douglas
43
0
0
30 Nov 2022
SciAI4Industry -- Solving PDEs for industry-scale problems with deep
  learning
SciAI4Industry -- Solving PDEs for industry-scale problems with deep learning
Philipp A. Witte
Russell J. Hewett
K. Saurabh
A. Sojoodi
Ranveer Chandra
AI4CE
65
2
0
23 Nov 2022
Colocating Real-time Storage and Processing: An Analysis of Pull-based
  versus Push-based Streaming
Colocating Real-time Storage and Processing: An Analysis of Pull-based versus Push-based Streaming
Ovidiu-Cristian Marcu
Pascal Bouvry
AI4TS
13
0
0
10 Nov 2022
FedLesScan: Mitigating Stragglers in Serverless Federated Learning
FedLesScan: Mitigating Stragglers in Serverless Federated Learning
M. Elzohairy
Mohak Chadha
Anshul Jindal
Andreas Grafberger
Jiatao Gu
Michael Gerndt
Osama Abboud
FedML
86
7
0
10 Nov 2022
Aggregation in the Mirror Space (AIMS): Fast, Accurate Distributed
  Machine Learning in Military Settings
Aggregation in the Mirror Space (AIMS): Fast, Accurate Distributed Machine Learning in Military Settings
Ryan Yang
Haizhou Du
Andre Wibisono
Patrick Baker
43
1
0
28 Oct 2022
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