Mingxuan Li

Affiliations:
  • Columbia University, Causal Artificial Intelligence Lab, New York, NY, USA
  • Brown University, Department of Computer Science, Providence, RI, USA (2019 - 2021)
  • Beihang University, School of Computer Science Engineering, MOE Engineering Research Center of ACAT, Beijing, China (former)


According to our database1, Mingxuan Li authored at least 6 papers between 2020 and 2024.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

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Bibliography

2024
Causally Aligned Curriculum Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2021
Learning Generalizable Behavior via Visual Rewrite Rules.
CoRR, 2021

Towards Sample Efficient Agents through Algorithmic Alignment (Student Abstract).
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Towards Sample Efficient Agents through Algorithmic Alignment.
CoRR, 2020

Detecting and Recovering Adversarial Examples: An Input Sensitivity Guided Method.
CoRR, 2020

Interpretability is a Kind of Safety: An Interpreter-based Ensemble for Adversary Defense.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020


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