Andrew K. Tan

According to our database, Andrew K. Tan authored at least 6 papers between 2020 and 2024.

Collaborative distances:

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

2024

Reliable Computation by Large-Alphabet Formulas in the Presence of Noise.

Andrew K. Tan, Matthew H. Ho, Isaac L. Chuang

IEEE Trans. Inf. Theory, December, 2024

2023

Resource savings from fault-tolerant circuit design.

Andrew K. Tan, Isaac L. Chuang

CoRR, 2023

On reliable computation over larger alphabets.

Andrew K. Tan, Matthew Ho, Isaac L. Chuang

CoRR, 2023

2022

Pareto-Optimal Clustering with the Primal Deterministic Information Bottleneck.

Andrew K. Tan, Max Tegmark, Isaac L. Chuang

Entropy, 2022

Biological error correction codes generate fault-tolerant neural networks.

Alexander Zlokapa, Andrew K. Tan, John M. Martyn, Max Tegmark, Isaac L. Chuang

CoRR, 2022

2020

AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity.

Silviu-Marian Udrescu, Andrew K. Tan, Jiahai Feng, Orisvaldo Neto, Tailin Wu, Max Tegmark

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020