Beat Buesser

According to our database1, Beat Buesser authored at least 11 papers between 2017 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
Boundary Adversarial Examples Against Adversarial Overfitting.
CoRR, 2022

2021
Automated Robustness with Adversarial Training as a Post-Processing Step.
CoRR, 2021

Automated Data Science for Relational Data.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020
FAT: Federated Adversarial Training.
CoRR, 2020

Survey on Automated End-to-End Data Science?
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
How can AI Automate End-to-End Data Science?
CoRR, 2019

Depth-First Proof-Number Search with Heuristic Edge Cost and Application to Chemical Synthesis Planning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Recurrent Neural Networks for Autoregressive Moving Average Model Selection.
Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019

2018
Learning Features For Relational Data.
CoRR, 2018

AI Meets Chemistry.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Chemical Reactant Recommendation Using a Network of Organic Chemistry.
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017


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