Daniel Stoecklein

According to our database, Daniel Stoecklein authored at least 4 papers between 2015 and 2018.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2018

A deep learning framework for causal shape transformation.

Kin Gwn Lore, Daniel Stoecklein, Michael Davies, Baskar Ganapathysubramanian, Soumik Sarkar

Neural Networks, 2018

Flow Shape Design for Microfluidic Devices Using Deep Reinforcement Learning.

Xian Yeow Lee, Aditya Balu, Daniel Stoecklein, Baskar Ganapathysubramanian, Soumik Sarkar

CoRR, 2018

2016

Deep Action Sequence Learning for Causal Shape Transformation.

Kin Gwn Lore, Daniel Stoecklein, Michael Davies, Baskar Ganapathysubramanian, Soumik Sarkar

CoRR, 2016

2015

Hierarchical Feature Extraction for Efficient Design of Microfluidic Flow Patterns.

Kin Gwn Lore, Daniel Stoecklein, Michael Davies, Baskar Ganapathysubramanian, Soumik Sarkar

Proceedings of the 1st Workshop on Feature Extraction: Modern Questions and Challenges, 2015