research
∙
09/20/2021
Programming and Training Rate-Independent Chemical Reaction Networks
Embedding computation in biochemical environments incompatible with trad...
share
research
∙
03/30/2020
Deep Molecular Programming: A Natural Implementation of Binary-Weight ReLU Neural Networks
Embedding computation in molecular contexts incompatible with traditiona...
research
∙
12/25/2019
A Study of the Learnability of Relational Properties (Model Counting Meets Machine Learning)
Relational properties, e.g., the connectivity structure of nodes in a di...
research
∙
06/16/2019
MoËT: Interpretable and Verifiable Reinforcement Learning via Mixture of Expert Trees
Deep Reinforcement Learning (DRL) has led to many recent breakthroughs o...
research
∙
04/03/2019