Luke Sernau

According to our database1, Luke Sernau authored at least 6 papers between 2018 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Data-Aware Random Feature Kernel for Transformers.
CoRR, March, 2026

2024
Time Matters: Scaling Laws for Any Budget.
CoRR, 2024

All Random Features Representations are Equivalent.
CoRR, 2024

Infinite Width Models That Work: Why Feature Learning Doesn't Matter as Much as You Think.
CoRR, 2024

2022
<i>MA'AT</i>: A Web-Based Application to Determine Rotamer Population Distributions in Solution from Nuclear Magnetic Resonance Spin-Coupling Constants.
J. Chem. Inf. Model., 2022

2018
Graph operations and upper bounds on graph homomorphism counts.
J. Graph Theory, 2018


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