Daniel Stoecklein

Publication Activity (10 Years)

Years Active: 2015-2018
Publications (10 Years): 4

Top Topics

Causal Structure

Deep Architectures

Top Venues

Neural Networks

Publications

Xian Yeow Lee, Aditya Balu, Daniel Stoecklein, Baskar Ganapathysubramanian, Soumik Sarkar
Flow Shape Design for Microfluidic Devices Using Deep Reinforcement Learning. CoRR (2018)
Kin Gwn Lore, Daniel Stoecklein, Michael Davies, Baskar Ganapathysubramanian, Soumik Sarkar
A deep learning framework for causal shape transformation. Neural Networks 98 (2018)
Kin Gwn Lore, Daniel Stoecklein, Michael Davies, Baskar Ganapathysubramanian, Soumik Sarkar
Deep Action Sequence Learning for Causal Shape Transformation. CoRR (2016)
Kin Gwn Lore, Daniel Stoecklein, Michael Davies, Baskar Ganapathysubramanian, Soumik Sarkar
Hierarchical Feature Extraction for Efficient Design of Microfluidic Flow Patterns. FE@NIPS (2015)