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 (NeurIPS, 2020)

Biological error correction codes generate fault-tolerant neural networks. - Alexander Zlokapa; Andrew K. Tan; John M. Martyn; Max Tegmark; Isaac L. Chuang (CoRR, 2022)

Pareto-Optimal Clustering with the Primal Deterministic Information Bottleneck. - Andrew K. Tan; Max Tegmark; Isaac L. Chuang (Entropy, 2022)

On reliable computation over larger alphabets. - Andrew K. Tan; Matthew Ho; Isaac L. Chuang (CoRR, 2023)

Resource savings from fault-tolerant circuit design. - Andrew K. Tan; Isaac L. Chuang (CoRR, 2023)

Reliable Computation by Large-Alphabet Formulas in the Presence of Noise. - Andrew K. Tan; Matthew H. Ho; Isaac L. Chuang (IEEE Trans. Inf. Theory, 2024)