David Friede

According to our database, David Friede authored at least 6 papers between 2019 and 2023.

Collaborative distances:

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

2023

Learning Disentangled Discrete Representations.

David Friede, Christian Reimers, Heiner Stuckenschmidt, Mathias Niepert

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

2021

Efficient Learning of Discrete-Continuous Computation Graphs.

David Friede, Mathias Niepert

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Smooth Variational Graph Embeddings for Efficient Neural Architecture Search.

Jovita Lukasik, David Friede, Arber Zela, Frank Hutter, Margret Keuper

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Smooth Variational Graph Embeddings for Efficient Neural Architecture Search.

Jovita Lukasik, David Friede, Arber Zela, Heiner Stuckenschmidt, Frank Hutter, Margret Keuper

CoRR, 2020

Neural Architecture Performance Prediction Using Graph Neural Networks.

Jovita Lukasik, David Friede, Heiner Stuckenschmidt, Margret Keuper

Proceedings of the Pattern Recognition - 42nd DAGM German Conference, DAGM GCPR 2020, Tübingen, Germany, September 28, 2020

2019

A Variational-Sequential Graph Autoencoder for Neural Architecture Performance Prediction.

David Friede, Jovita Lukasik, Heiner Stuckenschmidt, Margret Keuper

CoRR, 2019