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ChemBO: Bayesian Optimization of Small Organic Molecules with
  Synthesizable Recommendations

ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations

5 August 2019
Ksenia Korovina
Sailun Xu
Kirthevasan Kandasamy
W. Neiswanger
Barnabás Póczós
J. Schneider
Eric P. Xing
ArXivPDFHTML

Papers citing "ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations"

12 / 12 papers shown
Title
Graph Neural Thompson Sampling
Graph Neural Thompson Sampling
Shuang Wu
Arash A. Amini
25
0
0
15 Jun 2024
Bayesian Optimization of Functions over Node Subsets in Graphs
Bayesian Optimization of Functions over Node Subsets in Graphs
Huidong Liang
Xingchen Wan
Xiaowen Dong
31
1
0
24 May 2024
Bayesian Optimisation of Functions on Graphs
Bayesian Optimisation of Functions on Graphs
Xingchen Wan
Pierre Osselin
Henry Kenlay
Binxin Ru
Michael A. Osborne
Xiaowen Dong
8
4
0
08 Jun 2023
Symmetric Replay Training: Enhancing Sample Efficiency in Deep
  Reinforcement Learning for Combinatorial Optimization
Symmetric Replay Training: Enhancing Sample Efficiency in Deep Reinforcement Learning for Combinatorial Optimization
Hyeon-Seob Kim
Minsu Kim
Sungsoo Ahn
Jinkyoo Park
OffRL
21
7
0
02 Jun 2023
Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian
  Regret Bounds
Randomized Gaussian Process Upper Confidence Bound with Tighter Bayesian Regret Bounds
Shion Takeno
Yu Inatsu
Masayuki Karasuyama
10
13
0
03 Feb 2023
Multi-Fidelity Bayesian Optimization with Unreliable Information Sources
Multi-Fidelity Bayesian Optimization with Unreliable Information Sources
P. Mikkola
Julien Martinelli
Louis Filstroff
Samuel Kaski
12
10
0
25 Oct 2022
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug
  Discovery and Development
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development
Kexin Huang
Tianfan Fu
Wenhao Gao
Yue Zhao
Yusuf Roohani
J. Leskovec
Connor W. Coley
Cao Xiao
Jimeng Sun
Marinka Zitnik
OOD
LM&MA
19
258
0
18 Feb 2021
Graph Convolutional Policy Network for Goal-Directed Molecular Graph
  Generation
Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation
Jiaxuan You
Bowen Liu
Rex Ying
Vijay S. Pande
J. Leskovec
GNN
181
878
0
07 Jun 2018
Conditional molecular design with deep generative models
Conditional molecular design with deep generative models
Seokho Kang
Kyunghyun Cho
BDL
141
182
0
30 Apr 2018
Junction Tree Variational Autoencoder for Molecular Graph Generation
Junction Tree Variational Autoencoder for Molecular Graph Generation
Wengong Jin
Regina Barzilay
Tommi Jaakkola
208
1,205
0
12 Feb 2018
Constrained Bayesian Optimization for Automatic Chemical Design
Constrained Bayesian Optimization for Automatic Chemical Design
Ryan-Rhys Griffiths
José Miguel Hernández-Lobato
BDL
31
75
0
16 Sep 2017
Max-value Entropy Search for Efficient Bayesian Optimization
Max-value Entropy Search for Efficient Bayesian Optimization
Zi Wang
Stefanie Jegelka
104
357
0
06 Mar 2017
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