John Bradshaw
6 papers · 2019–2023 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🗺️
Taxonomy Completionist
(12)
🐣
Hot Topic Early Bird
👑
Triple Crown
❓
The Questioner
Venues
Top co-authors
Research topics
Machine Learning
(5)
Deep Learning
(4)
Core Methods
(4)
Models
(3)
Artificial Intelligence
(2)
Data Science & Analytics
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Core AI
(1)
Learning Paradigms · Artificial Intelligence
(1)
Learning Paradigms · Machine Learning
(1)
Learning Types
(1)
Methods
(1)
Optimization & Theory
(1)
Keywords
generative model
(2)
deep generative model
(2)
chemical reaction
(2)
latent variable
(1)
molecular graph
(1)
latent space
(1)
trust region
(1)
adversarial example
(1)
molecular generation
(1)
molecule generation
(1)
property optimization
(1)
directed acyclic graph
(1)
spectrum prediction
(1)
mass spectrometry
(1)
chemical space
(1)
molecular synthesis
(1)
graph neural network
(1)
structured input
(1)
prefix tree decoding
(1)
molecule synthesis
(1)
Papers
Prefix-Tree Decoding for Predicting Mass Spectra from Molecules
NeurIPS 2023
Local Latent Space Bayesian Optimization over Structured Inputs
NeurIPS 2022
Barking up the right tree: an approach to search over molecule synthesis DAGs
NeurIPS 2020
A Generative Model For Electron Paths
ICLR 2019
A Model to Search for Synthesizable Molecules
NeurIPS 2019
Are Generative Classifiers More Robust to Adversarial Attacks?
ICML 2019