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Kumar Pratik

2 accepted papers

2025

Local Look-Ahead Guidance via Verifier-in-the-Loop for Automated Theorem Proving

ACL 2025finding

The most promising recent methods for AI reasoning require applying variants of reinforcement learning (RL) either on rolled out trajectories from the LLMs, even for the step-wise rewards, or large quantities of human-annotated trajectory data. The reliance on the rolled-out trajectory renders the c…

Cited by 0SourcePDFScholar
2022

Equivariant Priors for compressed sensing with unknown orientation

ICML 2022spotlight

In compressed sensing, the goal is to reconstruct the signal from an underdetermined system of linear measurements. Thus, prior knowledge about the signal of interest and its structure is required. Additionally, in many scenarios, the signal has an unknown orientation prior to measurements. To addre…

Cited by 2SourcePDFScholar