Andrew K. Tan

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 7

Top Topics

Multiple Objectives

Information Bottleneck

Pareto Optimality

Top Venues

Publications

Andrew K. Tan, Matthew Ho, Isaac L. Chuang
On reliable computation over larger alphabets. CoRR (2023)
Andrew K. Tan, Isaac L. Chuang
Resource savings from fault-tolerant circuit design. CoRR (2023)
Alexander Zlokapa, Andrew K. Tan, John M. Martyn, Max Tegmark, Isaac L. Chuang
Biological error correction codes generate fault-tolerant neural networks. CoRR (2022)
Andrew K. Tan, Max Tegmark, Isaac L. Chuang
Pareto-optimal clustering with the primal deterministic information bottleneck. CoRR (2022)
Andrew K. Tan, Max Tegmark, Isaac L. Chuang
Pareto-Optimal Clustering with the Primal Deterministic Information Bottleneck. Entropy 24 (6) (2022)
Silviu-Marian Udrescu, Andrew K. Tan, Jiahai Feng, Orisvaldo Neto, Tailin Wu, Max Tegmark
AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity. NeurIPS (2020)
Silviu-Marian Udrescu, Andrew K. Tan, Jiahai Feng, Orisvaldo Neto, Tailin Wu, Max Tegmark
AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity. CoRR (2020)