research
∙
02/09/2021
Graph Energy-based Model for Substructure Preserving Molecular Design
It is common practice for chemists to search chemical databases based on...
share
research
∙
06/18/2020
Practical Large-Scale Distributed Parallel Monte-Carlo Tree Search Applied to Molecular Design
It is common practice to use large computational resources to train neur...
research
∙
06/14/2020
Meta Approach to Data Augmentation Optimization
Data augmentation policies drastically improve the performance of image ...
research
∙
11/16/2019
Faster AutoAugment: Learning Augmentation Strategies using Backpropagation
Data augmentation methods are indispensable heuristics to boost the perf...
research
∙
09/29/2017
ChemTS: An Efficient Python Library for de novo Molecular Generation
Automatic design of organic materials requires black-box optimization in...
research
∙
10/27/2015
Redesigning pattern mining algorithms for supercomputers
Upcoming many core processors are expected to employ a distributed memor...
research
∙
05/18/2015
Scalable Parallel Numerical Constraint Solver Using Global Load Balancing
We present a scalable parallel solver for numerical constraint satisfact...
research
∙
11/06/2014