The Auton Lab, part of Carnegie Mellon University’s School of Computer Science, develops Artificial Intelligence for practical solutions to real world problems.
We have a repository, the Auton Faqs, for a collection of how-tos and helpful living documents. We intend to have this as a searchable resource for folks that emphasizes simplicity and concision. Check it out!
Code repo for Neurips paper Improving Model-Based Reinforcement Learning by Converging to Flatter Minimas
Official Implementation of "STAMP: Spatial-Temporal Adapter with Multi-Head Pooling". arXiv: https://www.arxiv.org/abs/2511.10848
ML-Dev-Bench is a benchmark for evaluating AI agents against various ML development tasks.
Search arxiv abstracts contextually. Your prompt will return k-similar papers.
A Library for Advanced Deep Time Series Models.
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