Amanuensis: The Programmer's Apprentice. - Thomas Dean; Maurice Chiang; Marcus Gomez; Nate Gruver; Yousef Hindy; Michelle S. Lam; Peter Lu; Sophia Sanchez; Rohun Saxena; Michael Smith; Lucy Wang; Catherine Wong (CoRR, 2018)

Using Latent Variable Models to Observe Academic Pathways. - Nate Gruver; Ali Malik; Brahm Capoor; Chris Piech; Mitchell L. Stevens; Andreas Paepcke (EDM, 2019)

Adaptive Informative Path Planning with Multimodal Sensing. - Shushman Choudhury; Nate Gruver; Mykel J. Kochenderfer (ICAPS, 2020)

Multi-agent Adversarial Inverse Reinforcement Learning with Latent Variables. - Nate Gruver; Jiaming Song; Mykel J. Kochenderfer; Stefano Ermon (AAMAS, 2020)

Deconstructing the Inductive Biases of Hamiltonian Neural Networks. - Nate Gruver; Marc Anton Finzi; Samuel Don Stanton; Andrew Gordon Wilson (ICLR, 2022)

Accelerating Bayesian Optimization for Biological Sequence Design with Denoising Autoencoders. - Samuel Stanton; Wesley J. Maddox; Nate Gruver; Phillip M. Maffettone; Emily Delaney; Peyton Greenside; Andrew Gordon Wilson (ICML, 2022)

On Feature Learning in the Presence of Spurious Correlations. - Pavel Izmailov; Polina Kirichenko; Nate Gruver; Andrew Gordon Wilson (NeurIPS, 2022)

The Lie Derivative for Measuring Learned Equivariance. - Nate Gruver; Marc Anton Finzi; Micah Goldblum; Andrew Gordon Wilson (ICLR, 2023)

Large Language Models Are Zero-Shot Time Series Forecasters. - Nate Gruver; Marc Finzi; Shikai Qiu; Andrew Gordon Wilson (NeurIPS, 2023)

Protein Design with Guided Discrete Diffusion. - Nate Gruver; Samuel Stanton; Nathan C. Frey; Tim G. J. Rudner; Isidro Hötzel; Julien Lafrance-Vanasse; Arvind Rajpal; Kyunghyun Cho; Andrew Gordon Wilson (NeurIPS, 2023)

Fine-Tuned Language Models Generate Stable Inorganic Materials as Text. - Nate Gruver; Anuroop Sriram; Andrea Madotto; Andrew Gordon Wilson; C. Lawrence Zitnick; Zachary W. Ulissi (ICLR, 2024)

Large Language Models Must Be Taught to Know What They Don't Know. - Sanyam Kapoor; Nate Gruver; Manley Roberts; Katie Collins; Arka Pal; Umang Bhatt; Adrian Weller; Samuel Dooley; Micah Goldblum; Andrew Gordon Wilson (NeurIPS, 2024)

Bayesian Optimization of Antibodies Informed by a Generative Model of Evolving Sequences. - Alan Nawzad Amin; Nate Gruver; Yilun Kuang; Yucen Lily Li; Hunter Elliott; Calvin McCarter; Aniruddh Raghu; Peyton Greenside; Andrew Gordon Wilson (ICLR, 2025)

Why Masking Diffusion Works: Condition on the Jump Schedule for Improved Discrete Diffusion. - Alan Nawzad Amin; Nate Gruver; Andrew Gordon Wilson (CoRR, 2025)