Search Results for author: Aidan M. Swope

Found 2 papers, 2 papers with code

LeanDojo: Theorem Proving with Retrieval-Augmented Language Models

3 code implementations NeurIPS 2023 Kaiyu Yang, Aidan M. Swope, Alex Gu, Rahul Chalamala, Peiyang Song, Shixing Yu, Saad Godil, Ryan Prenger, Anima Anandkumar

Using this data, we develop ReProver (Retrieval-Augmented Prover): an LLM-based prover augmented with retrieval for selecting premises from a vast math library.

Automated Theorem Proving Math +1

Representation Learning for Remote Sensing: An Unsupervised Sensor Fusion Approach

1 code implementation11 Aug 2021 Aidan M. Swope, Xander H. Rudelis, Kyle T. Story

Using a dataset of 47 million unlabeled coterminous image triplets, we train an encoder to produce semantically meaningful representations from any possible combination of channels from the input sensors.

Representation Learning Self-Supervised Learning +1

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