William L. Tong

According to our database, William L. Tong authored at least 9 papers between 2022 and 2026.

Collaborative distances:

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

2026

Boule or Baguette? A Study on Task Topology, Length Generalization, and the Benefit of Reasoning Traces.

William L. Tong, Ege Cakar, Cengiz Pehlevan

CoRR, February, 2026

2025

Learning richness modulates equality reasoning in neural networks.

William L. Tong, Cengiz Pehlevan

CoRR, March, 2025

Adaptive algorithms for shaping behavior.

William L. Tong, Venkatesh N. Murthy, Gautam Reddy

PLoS Comput. Biol., 2025

No Free Lunch from Random Feature Ensembles: Scaling Laws and Near-Optimality Conditions.

Benjamin S. Ruben, William Lingxiao Tong, Hamza Tahir Chaudhry, Cengiz Pehlevan

Proceedings of the Forty-second International Conference on Machine Learning, 2025

MLPs Learn In-Context on Regression and Classification Tasks.

William Lingxiao Tong, Cengiz Pehlevan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

No Free Lunch From Random Feature Ensembles.

Benjamin S. Ruben, William L. Tong, Hamza Tahir Chaudhry, Cengiz Pehlevan

CoRR, 2024

MLPs Learn In-Context.

William L. Tong, Cengiz Pehlevan

CoRR, 2024

2023

Neural Circuits for Fast Poisson Compressed Sensing in the Olfactory Bulb.

Jacob A. Zavatone-Veth, Paul Masset, William L. Tong, Joseph D. Zak, Venkatesh Murthy, Cengiz Pehlevan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Contrasting random and learned features in deep Bayesian linear regression.

Jacob A. Zavatone-Veth, William L. Tong, Cengiz Pehlevan

CoRR, 2022