Rachel Lawrence

According to our database, Rachel Lawrence authored at least 6 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Do Transformers Use their Depth Adaptively? Evidence from a Relational Reasoning Task.

Alicia Curth, Rachel Lawrence, Sushrut Karmalkar, Niranjani Prasad

CoRR, April, 2026

Better Think Thrice: Learning to Reason Causally with Double Counterfactual Consistency.

Victoria Lin, Xinnuo Xu, Rachel Lawrence, Risa Ueno, Amit Sharma, Javier González, Niranjani Prasad

CoRR, February, 2026

2025

A Fourier Space Perspective on Diffusion Models.

Fabian Falck, Teodora Pandeva, Kiarash Zahirnia, Rachel Lawrence, Richard E. Turner, Edward Meeds, Javier Zazo, Sushrut Karmalkar

CoRR, May, 2025

RE-IMAGINE: Symbolic Benchmark Synthesis for Reasoning Evaluation.

Xinnuo Xu, Rachel Lawrence, Kshitij Dubey, Atharva Pandey, Risa Ueno, Fabian Falck, Aditya V. Nori, Rahul Sharma, Amit Sharma, Javier González

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

2024

Zero forcing with random sets.

Bryan Curtis, Luyining Gan, Jamie Haddock, Rachel Lawrence, Sam Spiro

Discret. Math., 2024

2023

Simplicial Reaction Networks and Dynamics on Graphs

Rachel Lawrence

PhD thesis, 2023