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Chemception: A Deep Neural Network with Minimal Chemistry Knowledge
  Matches the Performance of Expert-developed QSAR/QSPR Models

Chemception: A Deep Neural Network with Minimal Chemistry Knowledge Matches the Performance of Expert-developed QSAR/QSPR Models

20 June 2017
Garrett B. Goh
Charles Siegel
Abhinav Vishnu
Nathan Oken Hodas
Nathan Baker
ArXivPDFHTML

Papers citing "Chemception: A Deep Neural Network with Minimal Chemistry Knowledge Matches the Performance of Expert-developed QSAR/QSPR Models"

18 / 18 papers shown
Title
Multi-view biomedical foundation models for molecule-target and property prediction
Multi-view biomedical foundation models for molecule-target and property prediction
Parthasarathy Suryanarayanan
Yunguang Qiu
Shreyans Sethi
Diwakar Mahajan
Hongyang Li
...
Bum Chul Kwon
Pablo Meyer
Feixiong Cheng
Jianying Hu
Joseph A. Morrone
AI4CE
36
0
0
25 Oct 2024
MolGenSurvey: A Systematic Survey in Machine Learning Models for
  Molecule Design
MolGenSurvey: A Systematic Survey in Machine Learning Models for Molecule Design
Yuanqi Du
Tianfan Fu
Jimeng Sun
Shengchao Liu
AI4CE
31
86
0
28 Mar 2022
Artificial Intelligence in Drug Discovery: Applications and Techniques
Artificial Intelligence in Drug Discovery: Applications and Techniques
Jianyuan Deng
Zhibo Yang
Iwao Ojima
Dimitris Samaras
Fusheng Wang
AI4TS
23
100
0
09 Jun 2021
Drug discovery with explainable artificial intelligence
Drug discovery with explainable artificial intelligence
José Jiménez-Luna
F. Grisoni
G. Schneider
30
625
0
01 Jul 2020
Deep Learning and Knowledge-Based Methods for Computer Aided Molecular
  Design -- Toward a Unified Approach: State-of-the-Art and Future Directions
Deep Learning and Knowledge-Based Methods for Computer Aided Molecular Design -- Toward a Unified Approach: State-of-the-Art and Future Directions
Abdulelah S. Alshehri
R. Gani
Fengqi You
AI4CE
30
83
0
18 May 2020
Autonomous discovery in the chemical sciences part II: Outlook
Autonomous discovery in the chemical sciences part II: Outlook
Connor W. Coley
Natalie S. Eyke
K. Jensen
29
171
0
30 Mar 2020
ChemGrapher: Optical Graph Recognition of Chemical Compounds by Deep
  Learning
ChemGrapher: Optical Graph Recognition of Chemical Compounds by Deep Learning
M. Oldenhof
Adam Arany
Yves Moreau
Jaak Simm
GNN
26
51
0
23 Feb 2020
Molecule Attention Transformer
Molecule Attention Transformer
Lukasz Maziarka
Tomasz Danel
Slawomir Mucha
Krzysztof Rataj
Jacek Tabor
Stanislaw Jastrzebski
19
167
0
19 Feb 2020
Machine learning and AI-based approaches for bioactive ligand discovery
  and GPCR-ligand recognition
Machine learning and AI-based approaches for bioactive ligand discovery and GPCR-ligand recognition
S. Raschka
Benjamin Kaufman
AI4CE
24
67
0
17 Jan 2020
Reliable Prediction Errors for Deep Neural Networks Using Test-Time
  Dropout
Reliable Prediction Errors for Deep Neural Networks Using Test-Time Dropout
I. Cortés-Ciriano
A. Bender
OOD
34
47
0
12 Apr 2019
Efficient Toxicity Prediction via Simple Features Using Shallow Neural
  Networks and Decision Trees
Efficient Toxicity Prediction via Simple Features Using Shallow Neural Networks and Decision Trees
Abdul Karim
Avinash Mishra
M. A. Hakim Newton
A. Sattar
16
55
0
26 Jan 2019
Using Attribution to Decode Dataset Bias in Neural Network Models for
  Chemistry
Using Attribution to Decode Dataset Bias in Neural Network Models for Chemistry
Kevin McCloskey
Ankur Taly
Federico Monti
M. Brenner
Lucy J. Colwell
27
85
0
27 Nov 2018
KekuleScope: prediction of cancer cell line sensitivity and compound
  potency using convolutional neural networks trained on compound images
KekuleScope: prediction of cancer cell line sensitivity and compound potency using convolutional neural networks trained on compound images
I. Cortés-Ciriano
A. Bender
MedIm
27
51
0
22 Nov 2018
CheMixNet: Mixed DNN Architectures for Predicting Chemical Properties
  using Multiple Molecular Representations
CheMixNet: Mixed DNN Architectures for Predicting Chemical Properties using Multiple Molecular Representations
Arindam Paul
Dipendra Jha
Reda Al-Bahrani
W. Liao
A. Choudhary
Ankit Agrawal
16
43
0
14 Nov 2018
Multimodal Deep Neural Networks using Both Engineered and Learned
  Representations for Biodegradability Prediction
Multimodal Deep Neural Networks using Both Engineered and Learned Representations for Biodegradability Prediction
Garrett B. Goh
Khushmeen Sakloth
Charles Siegel
Abhinav Vishnu
J. Pfaendtner
HAI
28
11
0
13 Aug 2018
Using Rule-Based Labels for Weak Supervised Learning: A ChemNet for
  Transferable Chemical Property Prediction
Using Rule-Based Labels for Weak Supervised Learning: A ChemNet for Transferable Chemical Property Prediction
Garrett B. Goh
Charles Siegel
Abhinav Vishnu
Nathan Oken Hodas
18
90
0
07 Dec 2017
MoleculeNet: A Benchmark for Molecular Machine Learning
MoleculeNet: A Benchmark for Molecular Machine Learning
Zhenqin Wu
Bharath Ramsundar
Evan N. Feinberg
Joseph Gomes
C. Geniesse
Aneesh S. Pappu
K. Leswing
Vijay S. Pande
OOD
184
1,778
0
02 Mar 2017
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,746
0
26 Sep 2016
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